dnnl (JavaCPP Presets for DNNL 1.6.2-1.5.4 API)

java.lang.Object
- org.bytedeco.dnnl.presets.dnnl
- - org.bytedeco.dnnl.global.dnnl

All Implemented Interfaces:

InfoMapper
```
public class dnnl
extends dnnl
```

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`dnnl.algorithm` Kinds of algorithms.
`static class`	`dnnl.cpu_isa` \copydoc dnnl_cpu_isa_t
`static class`	`dnnl.normalization_flags` \} dnnl_api_attributes
`static class`	`dnnl.prop_kind` Propagation kind.
`static class`	`dnnl.query` \} dnnl_api_rnn
`static class`	`dnnl.rnn_direction` A direction of RNN primitive execution
`static class`	`dnnl.rnn_flags` \} dnnl_api_primitives_common
`static class`	`dnnl.scratchpad_mode` \} dnnl_api_primitives_common
`static class`	`dnnl.status` Status values returned by the library functions.

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`dnnl_a` enum dnnl_format_tag_t
`static int`	`dnnl_ab` enum dnnl_format_tag_t
`static int`	`dnnl_abc` enum dnnl_format_tag_t
`static int`	`dnnl_Abc16a` enum dnnl_format_tag_t
`static int`	`dnnl_ABc16a16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBc16b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc16b16a` enum dnnl_format_tag_t
`static int`	`dnnl_ABc16b16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc16b16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc2b8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc32a32b` enum dnnl_format_tag_t
`static int`	`dnnl_aBc32b` enum dnnl_format_tag_t
`static int`	`dnnl_Abc4a` enum dnnl_format_tag_t
`static int`	`dnnl_ABc4a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc4a8b8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBc4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc4b16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc4b4a` enum dnnl_format_tag_t
`static int`	`dnnl_ABc8a16b2a` enum dnnl_format_tag_t
`static int`	`dnnl_ABc8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc8a8b` enum dnnl_format_tag_t
`static int`	`dnnl_aBc8b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc8b16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_ABc8b8a` enum dnnl_format_tag_t
`static int`	`dnnl_abcd` enum dnnl_format_tag_t
`static int`	`dnnl_Abcd16a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd16a16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcd16b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd16b16a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd16b16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd16b16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd16b16c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd16c16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd16c16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd16c16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd2a8b8a2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd2b4c2b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd2b8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd2c4b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd2c8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_Abcd32a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd32a32b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcd32b` enum dnnl_format_tag_t
`static int`	`dnnl_Abcd4a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd4a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd4a8b8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcd4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd4b16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd4b4a` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd4b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd4b8c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd4b8c8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd4c16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd4c4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd4c8b2c` enum dnnl_format_tag_t
`static int`	`dnnl_Abcd8a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd8a16b2a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd8a8b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcd8b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd8b16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd8b16c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_ABcd8b8a` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd8b8c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd8c16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCd8c8b` enum dnnl_format_tag_t
`static int`	`dnnl_abcde` enum dnnl_format_tag_t
`static int`	`dnnl_Abcde16a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde16a16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcde16b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde16b16a` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde16b16c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde16c16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde16c16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde16c16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde2b4c2b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde2b8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde2b8c8b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde2c4b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde2c8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_Abcde32a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde32a32b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcde32b` enum dnnl_format_tag_t
`static int`	`dnnl_Abcde4a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde4a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde4a8b8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcde4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde4b16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde4b4a` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde4b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde4b8c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde4b8c8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde4c16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde4c4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde4c8b2c` enum dnnl_format_tag_t
`static int`	`dnnl_Abcde8a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde8a16b2a` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde8a4b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde8a8b` enum dnnl_format_tag_t
`static int`	`dnnl_aBcde8b` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde8b16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde8b16c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_ABcde8b8a` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde8b8c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde8c16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCde8c8b` enum dnnl_format_tag_t
`static int`	`dnnl_abcdef` enum dnnl_format_tag_t
`static int`	`dnnl_Abcdef16a` enum dnnl_format_tag_t
`static int`	`dnnl_aBcdef16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef16b16c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef16c16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef2b4c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef2c4b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef2c8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_Abcdef32a` enum dnnl_format_tag_t
`static int`	`dnnl_aBcdef4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef4b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef4b8c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef4b8c8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef4c16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef4c4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef4c8b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef8b16c2b` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef8b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef8b8c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef8c16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBCdef8c8b` enum dnnl_format_tag_t
`static int`	`dnnl_abdc` enum dnnl_format_tag_t
`static int`	`dnnl_aBdc16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdC16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBdC16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBdc4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdc8b` enum dnnl_format_tag_t
`static int`	`dnnl_abdec` enum dnnl_format_tag_t
`static int`	`dnnl_aBdec16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdeC16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBdeC16b4c` enum dnnl_format_tag_t
`static int`	`dnnl_aBdec32b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdec4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdec8b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdefc16b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdefC16b2c` enum dnnl_format_tag_t
`static int`	`dnnl_aBdefc4b` enum dnnl_format_tag_t
`static int`	`dnnl_aBdefc8b` enum dnnl_format_tag_t
`static int`	`dnnl_acb` enum dnnl_format_tag_t
`static int`	`dnnl_Acb16a` enum dnnl_format_tag_t
`static int`	`dnnl_AcB16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_AcB16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_Acb4a` enum dnnl_format_tag_t
`static int`	`dnnl_Acb8a` enum dnnl_format_tag_t
`static int`	`dnnl_aCBd16b16c` enum dnnl_format_tag_t
`static int`	`dnnl_aCBd16c16b` enum dnnl_format_tag_t
`static int`	`dnnl_aCBd4c8b8c4b` enum dnnl_format_tag_t
`static int`	`dnnl_aCBd8b16c2b` enum dnnl_format_tag_t
`static int`	`dnnl_acbde` enum dnnl_format_tag_t
`static int`	`dnnl_aCBde16b16c` enum dnnl_format_tag_t
`static int`	`dnnl_aCBde16c16b` enum dnnl_format_tag_t
`static int`	`dnnl_aCBde4c8b8c4b` enum dnnl_format_tag_t
`static int`	`dnnl_aCBde8b16c2b` enum dnnl_format_tag_t
`static int`	`dnnl_acbdef` enum dnnl_format_tag_t
`static int`	`dnnl_aCBdef16b16c` enum dnnl_format_tag_t
`static int`	`dnnl_aCBdef16c16b` enum dnnl_format_tag_t
`static int`	`dnnl_aCBdef4c8b8c4b` enum dnnl_format_tag_t
`static int`	`dnnl_aCBdef8b16c2b` enum dnnl_format_tag_t
`static int`	`dnnl_acdb` enum dnnl_format_tag_t
`static int`	`dnnl_Acdb16a` enum dnnl_format_tag_t
`static int`	`dnnl_AcdB16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_AcdB16a4b` enum dnnl_format_tag_t
`static int`	`dnnl_Acdb32a` enum dnnl_format_tag_t
`static int`	`dnnl_Acdb4a` enum dnnl_format_tag_t
`static int`	`dnnl_Acdb8a` enum dnnl_format_tag_t
`static int`	`dnnl_acdeb` enum dnnl_format_tag_t
`static int`	`dnnl_Acdeb16a` enum dnnl_format_tag_t
`static int`	`dnnl_AcdeB16a2b` enum dnnl_format_tag_t
`static int`	`dnnl_Acdeb4a` enum dnnl_format_tag_t
`static int`	`dnnl_Acdeb8a` enum dnnl_format_tag_t
`static int`	`dnnl_alg_kind_undef` enum dnnl_alg_kind_t
`static int`	`dnnl_any_engine` enum dnnl_engine_kind_t
`static int`	`DNNL_ARG_ATTR_OUTPUT_SCALES` Output scaling factors provided at execution time.
`static int`	`DNNL_ARG_ATTR_POST_OP_DW` Arguments for fused depthwise convolution.
`static int`	`DNNL_ARG_ATTR_ZERO_POINTS` Zero points provided at execution time.
`static int`	`DNNL_ARG_BIAS` Bias tensor argument.
`static int`	`DNNL_ARG_DIFF_BIAS` Gradient (diff) of the bias tensor argument.
`static int`	`DNNL_ARG_DIFF_DST` A special mnemonic for primitives that have a single diff destination argument.
`static int`	`DNNL_ARG_DIFF_DST_0` Gradient (diff) of the destination argument #0.
`static int`	`DNNL_ARG_DIFF_DST_1` Gradient (diff) of the destination argument #1.
`static int`	`DNNL_ARG_DIFF_DST_2` Gradient (diff) of the destination argument #2.
`static int`	`DNNL_ARG_DIFF_DST_ITER` A special mnemonic for gradient (diff) of RNN input recurrent hidden state vector.
`static int`	`DNNL_ARG_DIFF_DST_ITER_C` A special mnemonic for gradient (diff) of RNN input recurrent cell state vector.
`static int`	`DNNL_ARG_DIFF_DST_LAYER` A special mnemonic for gradient (diff) of RNN output vector.
`static int`	`DNNL_ARG_DIFF_SCALE_SHIFT` A special mnemonic for diff of scale and shift argument of normalization primitives.
`static int`	`DNNL_ARG_DIFF_SRC` A special mnemonic for primitives that have a single diff source argument.
`static int`	`DNNL_ARG_DIFF_SRC_0` Gradient (diff) of the source argument #0.
`static int`	`DNNL_ARG_DIFF_SRC_1` Gradient (diff) of the source argument #1.
`static int`	`DNNL_ARG_DIFF_SRC_2` Gradient (diff) of the source argument #2.
`static int`	`DNNL_ARG_DIFF_SRC_ITER` A special mnemonic for gradient (diff) of RNN input recurrent hidden state vector.
`static int`	`DNNL_ARG_DIFF_SRC_ITER_C` A special mnemonic for gradient (diff) of RNN input recurrent cell state vector.
`static int`	`DNNL_ARG_DIFF_SRC_LAYER` A special mnemonic for gradient (diff) of RNN input vector.
`static int`	`DNNL_ARG_DIFF_WEIGHTS` A special mnemonic for primitives that have a single diff weights argument.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_0` Gradient (diff) of the weights argument #0.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_1` Gradient (diff) of the weights argument #1.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_2` Gradient (diff) of the weights argument #2.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_3` Gradient (diff) of the weights argument #3.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_ITER` A special mnemonic for diff of RNN weights applied to the recurrent input.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_LAYER` A special mnemonic for diff of RNN weights applied to the layer input.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_PEEPHOLE` A special mnemonic for diff of RNN weights applied to the peephole weights.
`static int`	`DNNL_ARG_DIFF_WEIGHTS_PROJECTION` A special mnemonic for diff of RNN weights applied to the projection weights.
`static int`	`DNNL_ARG_DST` A special mnemonic for destination argument for primitives that have a single destination.
`static int`	`DNNL_ARG_DST_0` Destination argument #0.
`static int`	`DNNL_ARG_DST_1` Destination argument #1.
`static int`	`DNNL_ARG_DST_2` Destination argument #2.
`static int`	`DNNL_ARG_DST_ITER` A special mnemonic for RNN input recurrent hidden state vector.
`static int`	`DNNL_ARG_DST_ITER_C` A special mnemonic for LSTM output recurrent cell state vector.
`static int`	`DNNL_ARG_DST_LAYER` A special mnemonic for RNN output vector.
`static int`	`DNNL_ARG_FROM` A special mnemonic for reorder source argument.
`static int`	`DNNL_ARG_MEAN` Mean values tensor argument.
`static int`	`DNNL_ARG_MULTIPLE_DST` Starting index for destination arguments for primitives that produce a variable number of destination arguments.
`static int`	`DNNL_ARG_MULTIPLE_SRC` Starting index for source arguments for primitives that take a variable number of source arguments.
`static int`	`DNNL_ARG_SCALE_SHIFT` A special mnemonic for scale and shift argument of normalization primitives.
`static int`	`DNNL_ARG_SCRATCHPAD` Scratchpad (temporary storage) tensor argument.
`static int`	`DNNL_ARG_SRC` A special mnemonic for source argument for primitives that have a single source.
`static int`	`DNNL_ARG_SRC_0` Source argument #0.
`static int`	`DNNL_ARG_SRC_1` Source argument #1.
`static int`	`DNNL_ARG_SRC_2` Source argument #2.
`static int`	`DNNL_ARG_SRC_ITER` A special mnemonic for RNN input recurrent hidden state vector.
`static int`	`DNNL_ARG_SRC_ITER_C` A special mnemonic for RNN input recurrent cell state vector.
`static int`	`DNNL_ARG_SRC_LAYER` A special mnemonic for RNN input vector.
`static int`	`DNNL_ARG_TO` A special mnemonic for reorder destination argument.
`static int`	`DNNL_ARG_VARIANCE` Variance values tensor argument.
`static int`	`DNNL_ARG_WEIGHTS` A special mnemonic for primitives that have a single weights argument.
`static int`	`DNNL_ARG_WEIGHTS_0` Weights argument #0.
`static int`	`DNNL_ARG_WEIGHTS_1` Weights argument #1.
`static int`	`DNNL_ARG_WEIGHTS_2` Weights argument #2.
`static int`	`DNNL_ARG_WEIGHTS_3` Weights argument #3.
`static int`	`DNNL_ARG_WEIGHTS_ITER` A special mnemonic for RNN weights applied to the recurrent input.
`static int`	`DNNL_ARG_WEIGHTS_LAYER` A special mnemonic for RNN weights applied to the layer input.
`static int`	`DNNL_ARG_WEIGHTS_PEEPHOLE` A special mnemonic for RNN weights applied to the peephole weights.
`static int`	`DNNL_ARG_WEIGHTS_PROJECTION` A special mnemonic for RNN weights applied to the projection weights.
`static int`	`DNNL_ARG_WORKSPACE` Workspace tensor argument.
`static int`	`dnnl_ba` enum dnnl_format_tag_t
`static int`	`dnnl_bac` enum dnnl_format_tag_t
`static int`	`dnnl_BAc16a16b` enum dnnl_format_tag_t
`static int`	`dnnl_BAc16b16a` enum dnnl_format_tag_t
`static int`	`dnnl_BAc4b8a8b4a` enum dnnl_format_tag_t
`static int`	`dnnl_BAc8a16b2a` enum dnnl_format_tag_t
`static int`	`dnnl_bacd` enum dnnl_format_tag_t
`static int`	`dnnl_BAcd16a16b` enum dnnl_format_tag_t
`static int`	`dnnl_BAcd16b16a` enum dnnl_format_tag_t
`static int`	`dnnl_BAcd4b8a8b4a` enum dnnl_format_tag_t
`static int`	`dnnl_BAcd8a16b2a` enum dnnl_format_tag_t
`static int`	`dnnl_bacde` enum dnnl_format_tag_t
`static int`	`dnnl_BAcde16a16b` enum dnnl_format_tag_t
`static int`	`dnnl_BAcde16b16a` enum dnnl_format_tag_t
`static int`	`dnnl_BAcde4b8a8b4a` enum dnnl_format_tag_t
`static int`	`dnnl_BAcde8a16b2a` enum dnnl_format_tag_t
`static int`	`dnnl_backward` enum dnnl_prop_kind_t
`static int`	`dnnl_backward_bias` enum dnnl_prop_kind_t
`static int`	`dnnl_backward_data` enum dnnl_prop_kind_t
`static int`	`dnnl_backward_weights` enum dnnl_prop_kind_t
`static int`	`dnnl_batch_normalization` enum dnnl_primitive_kind_t
`static int`	`dnnl_bca` enum dnnl_format_tag_t
`static int`	`dnnl_bcda` enum dnnl_format_tag_t
`static int`	`dnnl_bcdea` enum dnnl_format_tag_t
`static int`	`dnnl_bf16` enum dnnl_data_type_t
`static int`	`dnnl_bidirectional_concat` enum dnnl_rnn_direction_t
`static int`	`dnnl_bidirectional_sum` enum dnnl_rnn_direction_t
`static int`	`dnnl_binary` enum dnnl_primitive_kind_t
`static int`	`dnnl_binary_add` enum dnnl_alg_kind_t
`static int`	`dnnl_binary_max` enum dnnl_alg_kind_t
`static int`	`dnnl_binary_min` enum dnnl_alg_kind_t
`static int`	`dnnl_binary_mul` enum dnnl_alg_kind_t
`static int`	`dnnl_blocked` enum dnnl_format_kind_t
`static int`	`dnnl_cba` enum dnnl_format_tag_t
`static int`	`dnnl_cdba` enum dnnl_format_tag_t
`static int`	`dnnl_cdeba` enum dnnl_format_tag_t
`static int`	`dnnl_chwn` enum dnnl_format_tag_t
`static int`	`dnnl_cn` enum dnnl_format_tag_t
`static int`	`dnnl_concat` enum dnnl_primitive_kind_t
`static int`	`dnnl_convolution` enum dnnl_primitive_kind_t
`static int`	`dnnl_convolution_auto` enum dnnl_alg_kind_t
`static int`	`dnnl_convolution_direct` enum dnnl_alg_kind_t
`static int`	`dnnl_convolution_winograd` enum dnnl_alg_kind_t
`static int`	`dnnl_cpu` enum dnnl_engine_kind_t
`static int`	`dnnl_cpu_isa_all` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx2` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx512_core` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx512_core_amx` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx512_core_bf16` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx512_core_vnni` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx512_mic` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_avx512_mic_4ops` enum dnnl_cpu_isa_t
`static int`	`dnnl_cpu_isa_sse41` enum dnnl_cpu_isa_t
`static long`	`DNNL_CPU_RUNTIME`
`static long`	`DNNL_CPU_THREADING_RUNTIME` \endcond
`static int`	`dnnl_data_type_undef` enum dnnl_data_type_t
`static int`	`dnnl_dcab` enum dnnl_format_tag_t
`static int`	`dnnl_decab` enum dnnl_format_tag_t
`static int`	`dnnl_deconvolution` enum dnnl_primitive_kind_t
`static int`	`dnnl_deconvolution_direct` enum dnnl_alg_kind_t
`static int`	`dnnl_deconvolution_winograd` enum dnnl_alg_kind_t
`static int`	`dnnl_defcab` enum dnnl_format_tag_t
`static int`	`dnnl_dhwigo` enum dnnl_format_tag_t
`static int`	`dnnl_dhwio` enum dnnl_format_tag_t
`static int`	`dnnl_eltwise` enum dnnl_primitive_kind_t
`static int`	`dnnl_eltwise_abs` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_bounded_relu` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_clip` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_elu` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_elu_use_dst_for_bwd` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_exp` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_exp_use_dst_for_bwd` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_gelu` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_gelu_erf` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_gelu_tanh` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_linear` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_log` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_logistic` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_logistic_use_dst_for_bwd` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_pow` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_relu` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_relu_use_dst_for_bwd` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_round` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_soft_relu` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_sqrt` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_sqrt_use_dst_for_bwd` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_square` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_swish` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_tanh` enum dnnl_alg_kind_t
`static int`	`dnnl_eltwise_tanh_use_dst_for_bwd` enum dnnl_alg_kind_t
`static int`	`DNNL_ENABLE_EXCEPTIONS` \endcond
`static int`	`dnnl_f16` enum dnnl_data_type_t
`static int`	`dnnl_f32` enum dnnl_data_type_t
`static int`	`dnnl_format_kind_any` enum dnnl_format_kind_t
`static int`	`dnnl_format_kind_rnn_packed` enum dnnl_format_kind_t
`static int`	`dnnl_format_kind_undef` enum dnnl_format_kind_t
`static int`	`dnnl_format_kind_wino` enum dnnl_format_kind_t
`static int`	`dnnl_format_tag_any` enum dnnl_format_tag_t
`static int`	`dnnl_format_tag_last` enum dnnl_format_tag_t
`static int`	`dnnl_format_tag_undef` enum dnnl_format_tag_t
`static int`	`dnnl_forward` enum dnnl_prop_kind_t
`static int`	`dnnl_forward_inference` enum dnnl_prop_kind_t
`static int`	`dnnl_forward_scoring` enum dnnl_prop_kind_t
`static int`	`dnnl_forward_training` enum dnnl_prop_kind_t
`static int`	`dnnl_fuse_norm_relu` enum dnnl_normalization_flags_t
`static int`	`dnnl_gemm` enum dnnl_primitive_kind_t
`static int`	`dnnl_giodhw` enum dnnl_format_tag_t
`static int`	`dnnl_gIOdhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOdhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_gIOdhw4i8o8i4o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOdhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_giohw` enum dnnl_format_tag_t
`static int`	`dnnl_gIOhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_gIOhw4i8o8i4o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_gIOw4i8o8i4o` enum dnnl_format_tag_t
`static int`	`dnnl_gIOw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOdhwi16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOdhwI16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOdhwi4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOdhwi8o` enum dnnl_format_tag_t
`static int`	`dnnl_gOhwi16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOhwI16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOhwI16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOhwi32o` enum dnnl_format_tag_t
`static int`	`dnnl_gOhwi4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOhwi8o` enum dnnl_format_tag_t
`static int`	`dnnl_goidhw` enum dnnl_format_tag_t
`static int`	`dnnl_Goidhw16g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOidhw16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw2i4o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw2i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw2o4i2o` enum dnnl_format_tag_t
`static int`	`dnnl_Goidhw32g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw4i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw4i4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw4i8o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOidhw4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw4o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw4o8i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw4o8i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw8i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw8i8o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIdhw8o8i` enum dnnl_format_tag_t
`static int`	`dnnl_goihw` enum dnnl_format_tag_t
`static int`	`dnnl_Goihw16g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw16i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw16i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOihw16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw2i4o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw2i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw2o4i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw2o8i8o2i` enum dnnl_format_tag_t
`static int`	`dnnl_Goihw32g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw4i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw4i4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw4i8o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOihw4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw4o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw4o8i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw4o8i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_Goihw8g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw8i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw8i8o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIhw8o8i` enum dnnl_format_tag_t
`static int`	`dnnl_goiw` enum dnnl_format_tag_t
`static int`	`dnnl_Goiw16g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw16i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw16i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOiw16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw2i4o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw2i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw2o4i2o` enum dnnl_format_tag_t
`static int`	`dnnl_Goiw32g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw4i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw4i4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw4i8o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOiw4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw4o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw4o8i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw4o8i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_Goiw8g` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw8i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw8i8o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOIw8o8i` enum dnnl_format_tag_t
`static int`	`dnnl_gOwi16o` enum dnnl_format_tag_t
`static int`	`dnnl_gOwI16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_gOwI16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_gOwi4o` enum dnnl_format_tag_t
`static int`	`dnnl_gOwi8o` enum dnnl_format_tag_t
`static int`	`dnnl_gpu` enum dnnl_engine_kind_t
`static long`	`DNNL_GPU_RUNTIME`
`static int`	`dnnl_hwigo` enum dnnl_format_tag_t
`static int`	`dnnl_hwio` enum dnnl_format_tag_t
`static int`	`dnnl_idhwo` enum dnnl_format_tag_t
`static int`	`dnnl_ihwo` enum dnnl_format_tag_t
`static int`	`dnnl_inner_product` enum dnnl_primitive_kind_t
`static int`	`dnnl_invalid_arguments` enum dnnl_status_t
`static int`	`dnnl_io` enum dnnl_format_tag_t
`static int`	`dnnl_iodhw` enum dnnl_format_tag_t
`static int`	`dnnl_IOdhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_IOdhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_IOdhw4i8o8i4o` enum dnnl_format_tag_t
`static int`	`dnnl_IOdhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_iohw` enum dnnl_format_tag_t
`static int`	`dnnl_IOhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_IOhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_IOhw4i8o8i4o` enum dnnl_format_tag_t
`static int`	`dnnl_IOhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_IOw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_IOw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_IOw4i8o8i4o` enum dnnl_format_tag_t
`static int`	`dnnl_IOw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_iterator_ends` enum dnnl_status_t
`static int`	`dnnl_iwo` enum dnnl_format_tag_t
`static long`	`DNNL_JIT_PROFILE_LINUX_JITDUMP` Enable Linux perf integration via jitdump files
`static long`	`DNNL_JIT_PROFILE_LINUX_JITDUMP_USE_TSC` Instruct Linux perf integration via jitdump files to use TSC.
`static long`	`DNNL_JIT_PROFILE_LINUX_PERF` Enable Linux perf integration (both jitdump and perfmap)
`static long`	`DNNL_JIT_PROFILE_LINUX_PERFMAP` Enable Linux perf integration via perfmap files
`static long`	`DNNL_JIT_PROFILE_NONE` Disable profiling completely
`static long`	`DNNL_JIT_PROFILE_VTUNE` Enable VTune Amplifier integration
`static int`	`dnnl_layer_normalization` enum dnnl_primitive_kind_t
`static int`	`dnnl_lbr_gru` enum dnnl_alg_kind_t
`static int`	`dnnl_ldgo` enum dnnl_format_tag_t
`static int`	`dnnl_ldgoi` enum dnnl_format_tag_t
`static int`	`dnnl_ldgoi_p` enum dnnl_rnn_packed_memory_format_t
`static int`	`dnnl_ldigo` enum dnnl_format_tag_t
`static int`	`dnnl_ldigo_p` enum dnnl_rnn_packed_memory_format_t
`static int`	`dnnl_ldio` enum dnnl_format_tag_t
`static int`	`dnnl_ldnc` enum dnnl_format_tag_t
`static int`	`dnnl_ldoi` enum dnnl_format_tag_t
`static int`	`dnnl_logsoftmax` enum dnnl_primitive_kind_t
`static int`	`dnnl_lrn` enum dnnl_primitive_kind_t
`static int`	`dnnl_lrn_across_channels` enum dnnl_alg_kind_t
`static int`	`dnnl_lrn_within_channel` enum dnnl_alg_kind_t
`static int`	`dnnl_matmul` enum dnnl_primitive_kind_t
`static int`	`DNNL_MAX_NDIMS` \} dnnl_api_primitives_common \} dnnl_api_primitives
`static int`	`dnnl_memory_extra_flag_compensation_conv_s8s8` enum dnnl_memory_extra_flags_t
`static int`	`dnnl_memory_extra_flag_gpu_rnn_u8s8_compensation` enum dnnl_memory_extra_flags_t
`static int`	`dnnl_memory_extra_flag_none` enum dnnl_memory_extra_flags_t
`static int`	`dnnl_memory_extra_flag_scale_adjust` enum dnnl_memory_extra_flags_t
`static int`	`dnnl_nc` enum dnnl_format_tag_t
`static int`	`dnnl_ncdhw` enum dnnl_format_tag_t
`static int`	`dnnl_nCdhw16c` enum dnnl_format_tag_t
`static int`	`dnnl_NCdhw16n16c` enum dnnl_format_tag_t
`static int`	`dnnl_nCdhw32c` enum dnnl_format_tag_t
`static int`	`dnnl_NCdhw32n32c` enum dnnl_format_tag_t
`static int`	`dnnl_nCdhw4c` enum dnnl_format_tag_t
`static int`	`dnnl_nCdhw8c` enum dnnl_format_tag_t
`static int`	`dnnl_nchw` enum dnnl_format_tag_t
`static int`	`dnnl_nChw16c` enum dnnl_format_tag_t
`static int`	`dnnl_NChw16n16c` enum dnnl_format_tag_t
`static int`	`dnnl_nChw32c` enum dnnl_format_tag_t
`static int`	`dnnl_NChw32n32c` enum dnnl_format_tag_t
`static int`	`dnnl_nChw4c` enum dnnl_format_tag_t
`static int`	`dnnl_nChw8c` enum dnnl_format_tag_t
`static int`	`dnnl_ncw` enum dnnl_format_tag_t
`static int`	`dnnl_nCw16c` enum dnnl_format_tag_t
`static int`	`dnnl_NCw16n16c` enum dnnl_format_tag_t
`static int`	`dnnl_nCw32c` enum dnnl_format_tag_t
`static int`	`dnnl_NCw32n32c` enum dnnl_format_tag_t
`static int`	`dnnl_nCw4c` enum dnnl_format_tag_t
`static int`	`dnnl_nCw8c` enum dnnl_format_tag_t
`static int`	`dnnl_ndhwc` enum dnnl_format_tag_t
`static int`	`dnnl_nhwc` enum dnnl_format_tag_t
`static int`	`dnnl_normalization_flags_none` enum dnnl_normalization_flags_t
`static int`	`dnnl_not_required` enum dnnl_status_t
`static int`	`dnnl_nt` enum dnnl_format_tag_t
`static int`	`dnnl_ntc` enum dnnl_format_tag_t
`static int`	`dnnl_nwc` enum dnnl_format_tag_t
`static int`	`dnnl_odhwi` enum dnnl_format_tag_t
`static int`	`dnnl_Odhwi16o` enum dnnl_format_tag_t
`static int`	`dnnl_OdhwI16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_Odhwi4o` enum dnnl_format_tag_t
`static int`	`dnnl_Odhwi8o` enum dnnl_format_tag_t
`static int`	`dnnl_ohwi` enum dnnl_format_tag_t
`static int`	`dnnl_Ohwi16o` enum dnnl_format_tag_t
`static int`	`dnnl_OhwI16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OhwI16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_Ohwi32o` enum dnnl_format_tag_t
`static int`	`dnnl_Ohwi4o` enum dnnl_format_tag_t
`static int`	`dnnl_Ohwi8o` enum dnnl_format_tag_t
`static int`	`dnnl_oi` enum dnnl_format_tag_t
`static int`	`dnnl_oidhw` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_Oidhw16o` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw2i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw4i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw4i4o` enum dnnl_format_tag_t
`static int`	`dnnl_Oidhw4o` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw4o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw4o8i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw8i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw8i8o` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIdhw8o8i` enum dnnl_format_tag_t
`static int`	`dnnl_oihw` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw16i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw16i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_Oihw16o` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw2i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw2o8i8o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw4i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw4i4o` enum dnnl_format_tag_t
`static int`	`dnnl_Oihw4o` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw4o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw4o8i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw8i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw8i8o` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIhw8o8i` enum dnnl_format_tag_t
`static int`	`dnnl_oiw` enum dnnl_format_tag_t
`static int`	`dnnl_OIw16i16o` enum dnnl_format_tag_t
`static int`	`dnnl_OIw16i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw16i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_Oiw16o` enum dnnl_format_tag_t
`static int`	`dnnl_OIw16o16i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw2i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw4i16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw4i4o` enum dnnl_format_tag_t
`static int`	`dnnl_Oiw4o` enum dnnl_format_tag_t
`static int`	`dnnl_OIw4o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw4o8i8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw8i16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw8i8o` enum dnnl_format_tag_t
`static int`	`dnnl_OIw8o16i2o` enum dnnl_format_tag_t
`static int`	`dnnl_OIw8o4i` enum dnnl_format_tag_t
`static int`	`dnnl_OIw8o8i` enum dnnl_format_tag_t
`static int`	`dnnl_out_of_memory` enum dnnl_status_t
`static int`	`dnnl_owi` enum dnnl_format_tag_t
`static int`	`dnnl_Owi16o` enum dnnl_format_tag_t
`static int`	`dnnl_OwI16o2i` enum dnnl_format_tag_t
`static int`	`dnnl_OwI16o4i` enum dnnl_format_tag_t
`static int`	`dnnl_Owi4o` enum dnnl_format_tag_t
`static int`	`dnnl_Owi8o` enum dnnl_format_tag_t
`static int`	`dnnl_packed_format_undef` enum dnnl_rnn_packed_memory_format_t
`static int`	`dnnl_pooling` enum dnnl_primitive_kind_t
`static int`	`dnnl_pooling_avg` enum dnnl_alg_kind_t
`static int`	`dnnl_pooling_avg_exclude_padding` enum dnnl_alg_kind_t
`static int`	`dnnl_pooling_avg_include_padding` enum dnnl_alg_kind_t
`static int`	`dnnl_pooling_max` enum dnnl_alg_kind_t
`static int`	`dnnl_primitive_kind_max` enum dnnl_primitive_kind_t
`static int`	`dnnl_prop_kind_undef` enum dnnl_prop_kind_t
`static int`	`dnnl_query_batch_normalization_d` enum dnnl_query_t
`static int`	`dnnl_query_binary_d` enum dnnl_query_t
`static int`	`dnnl_query_convolution_d` enum dnnl_query_t
`static int`	`dnnl_query_deconvolution_d` enum dnnl_query_t
`static int`	`dnnl_query_diff_dst_md` enum dnnl_query_t
`static int`	`dnnl_query_diff_src_md` enum dnnl_query_t
`static int`	`dnnl_query_diff_weights_md` enum dnnl_query_t
`static int`	`dnnl_query_dst_md` enum dnnl_query_t
`static int`	`dnnl_query_eltwise_d` enum dnnl_query_t
`static int`	`dnnl_query_engine` enum dnnl_query_t
`static int`	`dnnl_query_exec_arg_md` enum dnnl_query_t
`static int`	`dnnl_query_gemm_d` enum dnnl_query_t
`static int`	`dnnl_query_impl_info_str` enum dnnl_query_t
`static int`	`dnnl_query_inner_product_d` enum dnnl_query_t
`static int`	`dnnl_query_layer_normalization_d` enum dnnl_query_t
`static int`	`dnnl_query_logsoftmax_d` enum dnnl_query_t
`static int`	`dnnl_query_lrn_d` enum dnnl_query_t
`static int`	`dnnl_query_matmul_d` enum dnnl_query_t
`static int`	`dnnl_query_max` enum dnnl_query_t
`static int`	`dnnl_query_memory_consumption_s64` enum dnnl_query_t
`static int`	`dnnl_query_num_of_inputs_s32` enum dnnl_query_t
`static int`	`dnnl_query_num_of_outputs_s32` enum dnnl_query_t
`static int`	`dnnl_query_op_d` enum dnnl_query_t
`static int`	`dnnl_query_pooling_d` enum dnnl_query_t
`static int`	`dnnl_query_primitive_kind` enum dnnl_query_t
`static int`	`dnnl_query_prop_kind` enum dnnl_query_t
`static int`	`dnnl_query_reorder_dst_engine` enum dnnl_query_t
`static int`	`dnnl_query_reorder_src_engine` enum dnnl_query_t
`static int`	`dnnl_query_resampling_d` enum dnnl_query_t
`static int`	`dnnl_query_rnn_d` enum dnnl_query_t
`static int`	`dnnl_query_scratchpad_engine` enum dnnl_query_t
`static int`	`dnnl_query_scratchpad_md` enum dnnl_query_t
`static int`	`dnnl_query_shuffle_d` enum dnnl_query_t
`static int`	`dnnl_query_softmax_d` enum dnnl_query_t
`static int`	`dnnl_query_some_d` enum dnnl_query_t
`static int`	`dnnl_query_some_md` enum dnnl_query_t
`static int`	`dnnl_query_src_md` enum dnnl_query_t
`static int`	`dnnl_query_time_estimate_f64` enum dnnl_query_t
`static int`	`dnnl_query_undef` enum dnnl_query_t
`static int`	`dnnl_query_weights_md` enum dnnl_query_t
`static int`	`dnnl_query_workspace_md` enum dnnl_query_t
`static int`	`dnnl_reorder` enum dnnl_primitive_kind_t
`static int`	`dnnl_resampling` enum dnnl_primitive_kind_t
`static int`	`dnnl_resampling_linear` enum dnnl_alg_kind_t
`static int`	`dnnl_resampling_nearest` enum dnnl_alg_kind_t
`static int`	`dnnl_rnn` enum dnnl_primitive_kind_t
`static int`	`dnnl_rnn_flags_undef` enum dnnl_rnn_flags_t
`static int`	`DNNL_RNN_MAX_N_PARTS` Maximum number of parts of RNN weights tensor that require separate computation.
`static long`	`DNNL_RUNTIME_DIM_VAL`
`static int`	`dnnl_runtime_error` enum dnnl_status_t
`static double`	`DNNL_RUNTIME_F32_VAL`
`static long`	`DNNL_RUNTIME_NONE` \} dnnl_api_stream
`static long`	`DNNL_RUNTIME_OCL` OpenCL runtime
`static long`	`DNNL_RUNTIME_OMP` OpenMP runtime (CPU only)
`static int`	`DNNL_RUNTIME_S32_VAL` \endcond
`static int`	`DNNL_RUNTIME_S32_VAL_REP`
`static long`	`DNNL_RUNTIME_SEQ` Sequential runtime (CPU only)
`static long`	`DNNL_RUNTIME_SIZE_VAL`
`static long`	`DNNL_RUNTIME_TBB` TBB runtime (CPU only)
`static long`	`DNNL_RUNTIME_THREADPOOL` Threadpool runtime (CPU only)
`static int`	`dnnl_s32` enum dnnl_data_type_t
`static int`	`dnnl_s8` enum dnnl_data_type_t
`static int`	`dnnl_scratchpad_mode_library` enum dnnl_scratchpad_mode_t
`static int`	`dnnl_scratchpad_mode_user` enum dnnl_scratchpad_mode_t
`static int`	`dnnl_shuffle` enum dnnl_primitive_kind_t
`static int`	`dnnl_softmax` enum dnnl_primitive_kind_t
`static int`	`dnnl_stream_default_flags` enum dnnl_stream_flags_t
`static int`	`dnnl_stream_default_order` enum dnnl_stream_flags_t
`static int`	`dnnl_stream_in_order` enum dnnl_stream_flags_t
`static int`	`dnnl_stream_out_of_order` enum dnnl_stream_flags_t
`static int`	`dnnl_success` enum dnnl_status_t
`static int`	`dnnl_sum` enum dnnl_primitive_kind_t
`static int`	`dnnl_tn` enum dnnl_format_tag_t
`static int`	`dnnl_tnc` enum dnnl_format_tag_t
`static int`	`dnnl_u8` enum dnnl_data_type_t
`static int`	`dnnl_undefined_primitive` enum dnnl_primitive_kind_t
`static int`	`dnnl_unidirectional` enum dnnl_rnn_direction_t
`static int`	`dnnl_unidirectional_left2right` enum dnnl_rnn_direction_t
`static int`	`dnnl_unidirectional_right2left` enum dnnl_rnn_direction_t
`static int`	`dnnl_unimplemented` enum dnnl_status_t
`static int`	`dnnl_use_global_stats` enum dnnl_normalization_flags_t
`static int`	`dnnl_use_scaleshift` enum dnnl_normalization_flags_t
`static int`	`dnnl_vanilla_gru` enum dnnl_alg_kind_t
`static int`	`dnnl_vanilla_lstm` enum dnnl_alg_kind_t
`static int`	`dnnl_vanilla_rnn` enum dnnl_alg_kind_t
`static String`	`DNNL_VERSION_HASH`
`static int`	`DNNL_VERSION_MAJOR` Major version
`static int`	`DNNL_VERSION_MINOR` Minor version
`static int`	`DNNL_VERSION_PATCH` Patch version
`static int`	`dnnl_wigo` enum dnnl_format_tag_t
`static int`	`dnnl_wino_undef` enum dnnl_wino_memory_format_t
`static int`	`dnnl_wino_wei_aaOBiOo` enum dnnl_wino_memory_format_t
`static int`	`dnnl_wino_wei_aaOio` enum dnnl_wino_memory_format_t
`static int`	`dnnl_wino_wei_aaOIoi` enum dnnl_wino_memory_format_t
`static int`	`dnnl_wino_wei_OBaaIBOIio` enum dnnl_wino_memory_format_t
`static int`	`dnnl_wio` enum dnnl_format_tag_t
`static int`	`dnnl_x` enum dnnl_format_tag_t

Constructor Summary

Constructors
Constructor and Description

dnnl()

Constructors
Constructor and Description
`dnnl()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static dnnl.normalization_flags`	`and(dnnl.normalization_flags lhs, dnnl.normalization_flags rhs)`
`static dnnl.rnn_flags`	`and(dnnl.rnn_flags lhs, dnnl.rnn_flags rhs)`
`static int`	`and(int lhs, int rhs)`
`static stream.flags`	`and(stream.flags lhs, stream.flags rhs)`
`static int[]`	`andPut(int[] lhs, dnnl.normalization_flags rhs)`
`static int[]`	`andPut(int[] lhs, dnnl.rnn_flags rhs)`
`static int[]`	`andPut(int[] lhs, int rhs)`
`static IntBuffer`	`andPut(IntBuffer lhs, dnnl.normalization_flags rhs)`
`static IntBuffer`	`andPut(IntBuffer lhs, dnnl.rnn_flags rhs)`
`static IntBuffer`	`andPut(IntBuffer lhs, int rhs)`
`static IntPointer`	`andPut(IntPointer lhs, dnnl.normalization_flags rhs)`
`static IntPointer`	`andPut(IntPointer lhs, dnnl.rnn_flags rhs)`
`static IntPointer`	`andPut(IntPointer lhs, int rhs)`
`static stream.flags`	`andPut(stream.flags lhs, stream.flags rhs)`
`static int`	`convert_to_c(dnnl.algorithm aalgorithm)` Converts algorithm kind enum value from C++ API to C API type.
`static int`	`convert_to_c(dnnl.normalization_flags flags)` Converts normalization flags enum value from C++ API to C API type.
`static int`	`convert_to_c(dnnl.prop_kind akind)` Converts propagation kind enum value from C++ API to C API type.
`static int`	`convert_to_c(dnnl.query aquery)` Converts query enum value from C++ API to C API type.
`static int`	`convert_to_c(dnnl.rnn_direction dir)` Converts RNN direction enum value from C++ API to C API type.
`static int`	`convert_to_c(dnnl.rnn_flags flags)` Converts RNN cell flags enum value from C++ API to C API type.
`static int`	`convert_to_c(dnnl.scratchpad_mode mode)` Converts a scratchpad mode enum value from C++ API to C API type.
`static int`	`convert_to_c(engine.kind akind)` Converts engine kind enum value from C++ API to C API type.
`static int`	`convert_to_c(int mode)`
`static dnnl_memory_desc_t`	`convert_to_c(memory.desc mems)` \} dnnl_api_reorder
`static int`	`convert_to_c(primitive.kind akind)` Converts primitive kind enum value from C++ API to C API type.
`static int`	`dnnl_batch_normalization_backward_desc_init(dnnl_batch_normalization_desc_t bnrm_desc, int prop_kind, dnnl_memory_desc_t diff_data_desc, dnnl_memory_desc_t data_desc, float epsilon, int flags)` Initializes a descriptor for a batch normalization backward propagation primitive.
`static int`	`dnnl_batch_normalization_forward_desc_init(dnnl_batch_normalization_desc_t bnrm_desc, int prop_kind, dnnl_memory_desc_t data_desc, float epsilon, int flags)` \} dnnl_api_lrn
`static int`	`dnnl_binary_desc_init(dnnl_binary_desc_t binary_desc, int alg_kind, dnnl_memory_desc_t src0_desc, dnnl_memory_desc_t src1_desc, dnnl_memory_desc_t dst_desc)` \} dnnl_api_sum
`static int`	`dnnl_concat_primitive_desc_create(dnnl_primitive_desc concat_primitive_desc, dnnl_memory_desc_t dst_desc, int n, int concat_dimension, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)` \} dnnl_api_reorder
`static int`	`dnnl_concat_primitive_desc_create(PointerPointer concat_primitive_desc, dnnl_memory_desc_t dst_desc, int n, int concat_dimension, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)`
`static int`	`dnnl_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a convolution backward propagation primitive.
`static int`	`dnnl_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a convolution weights gradient primitive.
`static int`	`dnnl_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, long[] strides, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)` \} dnnl_api_binary
`static int`	`dnnl_deconvolution_backward_data_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_deconvolution_backward_data_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_deconvolution_backward_data_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a deconvolution backward propagation primitive.
`static int`	`dnnl_deconvolution_backward_weights_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_deconvolution_backward_weights_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_deconvolution_backward_weights_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a deconvolution weights gradient primitive.
`static int`	`dnnl_deconvolution_forward_desc_init(dnnl_convolution_desc_t deconv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, long[] strides, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_deconvolution_forward_desc_init(dnnl_convolution_desc_t deconv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_deconvolution_forward_desc_init(dnnl_convolution_desc_t deconv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)` \} dnnl_api_convolution
`static int`	`dnnl_dilated_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_dilated_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_dilated_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a dilated convolution backward propagation primitive.
`static int`	`dnnl_dilated_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_dilated_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_dilated_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a dilated convolution weights gradient primitive.
`static int`	`dnnl_dilated_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_dilated_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_dilated_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a dilated convolution forward propagation primitive.
`static int`	`dnnl_dilated_deconvolution_backward_data_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_dilated_deconvolution_backward_data_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_dilated_deconvolution_backward_data_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a dilated deconvolution backward propagation primitive.
`static int`	`dnnl_dilated_deconvolution_backward_weights_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_dilated_deconvolution_backward_weights_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_dilated_deconvolution_backward_weights_desc_init(dnnl_convolution_desc_t deconv_desc, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a dilated deconvolution weights gradient primitive.
`static int`	`dnnl_dilated_deconvolution_forward_desc_init(dnnl_convolution_desc_t deconv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_dilated_deconvolution_forward_desc_init(dnnl_convolution_desc_t deconv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_dilated_deconvolution_forward_desc_init(dnnl_convolution_desc_t deconv_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for a dilated deconvolution forward propagation primitive.
`static int`	`dnnl_eltwise_backward_desc_init(dnnl_eltwise_desc_t eltwise_desc, int alg_kind, dnnl_memory_desc_t diff_data_desc, dnnl_memory_desc_t data_desc, float alpha, float beta)` Initializes a descriptor for eltwise backward propagation primitive.
`static int`	`dnnl_eltwise_forward_desc_init(dnnl_eltwise_desc_t eltwise_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t data_desc, float alpha, float beta)` \} dnnl_api_shuffle
`static int`	`dnnl_engine_create(dnnl_engine engine, int kind, long index)` Creates an engine.
`static int`	`dnnl_engine_create(PointerPointer engine, int kind, long index)`
`static int`	`dnnl_engine_destroy(dnnl_engine engine)` Destroys an engine.
`static long`	`dnnl_engine_get_count(int kind)` \} dnnl_api_resampling
`static int`	`dnnl_engine_get_kind(dnnl_engine engine, int[] kind)`
`static int`	`dnnl_engine_get_kind(dnnl_engine engine, IntBuffer kind)`
`static int`	`dnnl_engine_get_kind(dnnl_engine engine, IntPointer kind)` Returns the kind of an engine.
`static int`	`dnnl_gemm_s8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, byte[] A, long lda, byte ao, byte[] B, long ldb, byte bo, float beta, int[] C, long ldc, int[] co)`
`static int`	`dnnl_gemm_s8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, ByteBuffer A, long lda, byte ao, ByteBuffer B, long ldb, byte bo, float beta, IntBuffer C, long ldc, IntBuffer co)`
`static int`	`dnnl_gemm_s8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, BytePointer A, long lda, byte ao, BytePointer B, long ldb, byte bo, float beta, IntPointer C, long ldc, IntPointer co)` Performs integer matrix-matrix multiply on 8-bit signed matrix A, 8-bit signed matrix B, and 32-bit signed resulting matrix C.
`static int`	`dnnl_gemm_u8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, byte[] A, long lda, byte ao, byte[] B, long ldb, byte bo, float beta, int[] C, long ldc, int[] co)`
`static int`	`dnnl_gemm_u8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, ByteBuffer A, long lda, byte ao, ByteBuffer B, long ldb, byte bo, float beta, IntBuffer C, long ldc, IntBuffer co)`
`static int`	`dnnl_gemm_u8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, BytePointer A, long lda, byte ao, BytePointer B, long ldb, byte bo, float beta, IntPointer C, long ldc, IntPointer co)` Performs integer matrix-matrix multiply on 8-bit unsigned matrix A, 8-bit signed matrix B, and 32-bit signed resulting matrix C.
`static int`	`dnnl_get_effective_cpu_isa()` Gets the maximal ISA the library can dispatch to on the CPU.
`static int`	`dnnl_get_primitive_cache_capacity(int[] _capacity)`
`static int`	`dnnl_get_primitive_cache_capacity(IntBuffer _capacity)`
`static int`	`dnnl_get_primitive_cache_capacity(IntPointer _capacity)` \} dnnl_api_stream
`static int`	dnnl_gru_backward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t diff_src_layer_desc, dnnl_memory_desc_t diff_src_iter_desc, dnnl_memory_desc_t diff_weights_layer_desc, dnnl_memory_desc_t diff_weights_iter_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_layer_desc, dnnl_memory_desc_t diff_dst_iter_desc, int flags) Initializes a descriptor for GRU backward propagation primitive.
`static int`	`dnnl_gru_forward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, int flags)` Initializes a descriptor for GRU forward propagation primitive.
`static int`	`dnnl_inner_product_backward_data_desc_init(dnnl_inner_product_desc_t ip_desc, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t diff_dst_desc)` Initializes descriptor for inner product backward propagation.
`static int`	`dnnl_inner_product_backward_weights_desc_init(dnnl_inner_product_desc_t ip_desc, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t diff_weights_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_desc)` Initializes descriptor for inner product weights gradient primitive.
`static int`	`dnnl_inner_product_forward_desc_init(dnnl_inner_product_desc_t ip_desc, int prop_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc)` \} dnnl_api_layer_normalization
`static int`	`dnnl_layer_normalization_backward_desc_init(dnnl_layer_normalization_desc_t lnrm_desc, int prop_kind, dnnl_memory_desc_t diff_data_desc, dnnl_memory_desc_t data_desc, dnnl_memory_desc_t stat_desc, float epsilon, int flags)` Initializes a descriptor for a layer normalization backward propagation primitive.
`static int`	`dnnl_layer_normalization_forward_desc_init(dnnl_layer_normalization_desc_t lnrm_desc, int prop_kind, dnnl_memory_desc_t data_desc, dnnl_memory_desc_t stat_desc, float epsilon, int flags)` \} dnnl_api_batch_normalization
`static int`	dnnl_lbr_gru_backward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t diff_src_layer_desc, dnnl_memory_desc_t diff_src_iter_desc, dnnl_memory_desc_t diff_weights_layer_desc, dnnl_memory_desc_t diff_weights_iter_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_layer_desc, dnnl_memory_desc_t diff_dst_iter_desc, int flags) Initializes a descriptor for LBR GRU backward propagation primitive.
`static int`	`dnnl_lbr_gru_forward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, int flags)` Initializes a descriptor for LBR GRU forward propagation primitive.
`static int`	`dnnl_logsoftmax_backward_desc_init(dnnl_softmax_desc_t logsoftmax_desc, dnnl_memory_desc_t diff_data_desc, dnnl_memory_desc_t data_desc, int logsoftmax_axis)` Initializes a descriptor for logsoftmax backward propagation primitive.
`static int`	`dnnl_logsoftmax_forward_desc_init(dnnl_softmax_desc_t logsoftmax_desc, int prop_kind, dnnl_memory_desc_t data_desc, int logsoftmax_axis)` \} dnnl_api_softmax
`static int`	`dnnl_lrn_backward_desc_init(dnnl_lrn_desc_t lrn_desc, int alg_kind, dnnl_memory_desc_t diff_data_desc, dnnl_memory_desc_t data_desc, long local_size, float alpha, float beta, float k)` Initializes a descriptor for LRN backward propagation primitive.
`static int`	`dnnl_lrn_forward_desc_init(dnnl_lrn_desc_t lrn_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t data_desc, long local_size, float alpha, float beta, float k)` \} dnnl_api_pooling
`static int`	dnnl_lstm_backward_desc_init_v2(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t src_iter_c_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t weights_peephole_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t dst_iter_c_desc, dnnl_memory_desc_t diff_src_layer_desc, dnnl_memory_desc_t diff_src_iter_desc, dnnl_memory_desc_t diff_src_iter_c_desc, dnnl_memory_desc_t diff_weights_layer_desc, dnnl_memory_desc_t diff_weights_iter_desc, dnnl_memory_desc_t diff_weights_peephole_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_layer_desc, dnnl_memory_desc_t diff_dst_iter_desc, dnnl_memory_desc_t diff_dst_iter_c_desc, int flags) Initializes a descriptor for an LSTM (with or without peephole) backward propagation primitive.
`static int`	dnnl_lstm_backward_desc_init_v3(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t src_iter_c_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t weights_peephole_desc, dnnl_memory_desc_t weights_projection_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t dst_iter_c_desc, dnnl_memory_desc_t diff_src_layer_desc, dnnl_memory_desc_t diff_src_iter_desc, dnnl_memory_desc_t diff_src_iter_c_desc, dnnl_memory_desc_t diff_weights_layer_desc, dnnl_memory_desc_t diff_weights_iter_desc, dnnl_memory_desc_t diff_weights_peephole_desc, dnnl_memory_desc_t diff_weights_projection_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_layer_desc, dnnl_memory_desc_t diff_dst_iter_desc, dnnl_memory_desc_t diff_dst_iter_c_desc, int flags) Initializes a descriptor for an LSTM (with or without peephole and with or with out recurrent projection layer) backward propagation primitive.
`static int`	dnnl_lstm_backward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t src_iter_c_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t dst_iter_c_desc, dnnl_memory_desc_t diff_src_layer_desc, dnnl_memory_desc_t diff_src_iter_desc, dnnl_memory_desc_t diff_src_iter_c_desc, dnnl_memory_desc_t diff_weights_layer_desc, dnnl_memory_desc_t diff_weights_iter_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_layer_desc, dnnl_memory_desc_t diff_dst_iter_desc, dnnl_memory_desc_t diff_dst_iter_c_desc, int flags) Initializes a descriptor for an LSTM backward propagation primitive.
`static int`	`dnnl_lstm_forward_desc_init_v2(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t src_iter_c_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t weights_peephole_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t dst_iter_c_desc, int flags)` Initializes a descriptor for an LSTM (with or without peephole) forward propagation primitive.
`static int`	dnnl_lstm_forward_desc_init_v3(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t src_iter_c_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t weights_peephole_desc, dnnl_memory_desc_t weights_projection_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t dst_iter_c_desc, int flags) Initializes a descriptor for an LSTM (with or without peephole and with or without recurrent projection layer) forward propagation primitive.
`static int`	`dnnl_lstm_forward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t src_iter_c_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t dst_iter_c_desc, int flags)` Initializes a descriptor for LSTM forward propagation primitive.
`static int`	`dnnl_matmul_desc_init(dnnl_matmul_desc_t matmul_desc, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t weights_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_desc)` \} dnnl_api_rnn
`static int`	`dnnl_memory_create(dnnl_memory memory, dnnl_memory_desc_t memory_desc, dnnl_engine engine, Pointer handle)` Creates a memory object.
`static int`	`dnnl_memory_create(PointerPointer memory, dnnl_memory_desc_t memory_desc, dnnl_engine engine, Pointer handle)`
`static int`	`dnnl_memory_desc_equal(dnnl_memory_desc_t lhs, dnnl_memory_desc_t rhs)` Compares two memory descriptors.
`static long`	`dnnl_memory_desc_get_size(dnnl_memory_desc_t memory_desc)` Returns the size of a memory descriptor.
`static int`	`dnnl_memory_desc_init_by_strides(dnnl_memory_desc_t memory_desc, int ndims, long[] dims, int data_type, long[] strides)`
`static int`	`dnnl_memory_desc_init_by_strides(dnnl_memory_desc_t memory_desc, int ndims, LongBuffer dims, int data_type, LongBuffer strides)`
`static int`	`dnnl_memory_desc_init_by_strides(dnnl_memory_desc_t memory_desc, int ndims, LongPointer dims, int data_type, LongPointer strides)` \} dnnl_api_attributes
`static int`	`dnnl_memory_desc_init_by_tag(dnnl_memory_desc_t memory_desc, int ndims, long[] dims, int data_type, int tag)`
`static int`	`dnnl_memory_desc_init_by_tag(dnnl_memory_desc_t memory_desc, int ndims, LongBuffer dims, int data_type, int tag)`
`static int`	`dnnl_memory_desc_init_by_tag(dnnl_memory_desc_t memory_desc, int ndims, LongPointer dims, int data_type, int tag)` Initializes a memory descriptor using dimensions and memory format tag.
`static int`	`dnnl_memory_desc_init_submemory(dnnl_memory_desc_t memory_desc, dnnl_memory_desc_t parent_memory_desc, long[] dims, long[] offsets)`
`static int`	`dnnl_memory_desc_init_submemory(dnnl_memory_desc_t memory_desc, dnnl_memory_desc_t parent_memory_desc, LongBuffer dims, LongBuffer offsets)`
`static int`	`dnnl_memory_desc_init_submemory(dnnl_memory_desc_t memory_desc, dnnl_memory_desc_t parent_memory_desc, LongPointer dims, LongPointer offsets)`
`static int`	`dnnl_memory_desc_permute_axes(dnnl_memory_desc_t out_memory_desc, dnnl_memory_desc_t in_memory_desc, int[] permutation)`
`static int`	`dnnl_memory_desc_permute_axes(dnnl_memory_desc_t out_memory_desc, dnnl_memory_desc_t in_memory_desc, IntBuffer permutation)`
`static int`	`dnnl_memory_desc_permute_axes(dnnl_memory_desc_t out_memory_desc, dnnl_memory_desc_t in_memory_desc, IntPointer permutation)` Initializes a memory descriptor by permuting axes in an existing one.
`static int`	`dnnl_memory_desc_reshape(dnnl_memory_desc_t out_memory_desc, dnnl_memory_desc_t in_memory_desc, int ndims, long[] dims)`
`static int`	`dnnl_memory_desc_reshape(dnnl_memory_desc_t out_memory_desc, dnnl_memory_desc_t in_memory_desc, int ndims, LongBuffer dims)`
`static int`	`dnnl_memory_desc_reshape(dnnl_memory_desc_t out_memory_desc, dnnl_memory_desc_t in_memory_desc, int ndims, LongPointer dims)` Initializes a memory descriptor by reshaping an existing one.
`static int`	`dnnl_memory_destroy(dnnl_memory memory)` Destroys a memory object.
`static int`	`dnnl_memory_get_data_handle(dnnl_memory memory, Pointer handle)`
`static int`	`dnnl_memory_get_data_handle(dnnl_memory memory, PointerPointer handle)` Returns memory object's data handle.
`static int`	`dnnl_memory_get_engine(dnnl_memory memory, dnnl_engine engine)` Returns the engine of a memory object.
`static int`	`dnnl_memory_get_engine(dnnl_memory memory, PointerPointer engine)`
`static int`	`dnnl_memory_get_memory_desc(dnnl_memory memory, dnnl_memory_desc_t memory_desc)`
`static int`	`dnnl_memory_get_memory_desc(dnnl_memory memory, PointerPointer memory_desc)` Returns the memory descriptor for a memory object.
`static int`	`dnnl_memory_map_data(dnnl_memory memory, Pointer mapped_ptr)`
`static int`	`dnnl_memory_map_data(dnnl_memory memory, PointerPointer mapped_ptr)` Maps a memory object and returns a host-side pointer to a memory buffer with a copy of its contents.
`static int`	`dnnl_memory_set_data_handle_v2(dnnl_memory memory, Pointer handle, dnnl_stream stream)` Sets the underlying memory buffer.
`static int`	`dnnl_memory_set_data_handle(dnnl_memory memory, Pointer handle)` Sets the underlying memory buffer.
`static int`	`dnnl_memory_unmap_data(dnnl_memory memory, Pointer mapped_ptr)` Unmaps a memory object and writes back any changes made to the previously mapped memory buffer.
`static int`	`dnnl_pooling_backward_desc_init(dnnl_pooling_desc_t pool_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t diff_dst_desc, long[] strides, long[] kernel, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_pooling_backward_desc_init(dnnl_pooling_desc_t pool_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t diff_dst_desc, LongBuffer strides, LongBuffer kernel, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_pooling_backward_desc_init(dnnl_pooling_desc_t pool_desc, int alg_kind, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t diff_dst_desc, LongPointer strides, LongPointer kernel, LongPointer padding_l, LongPointer padding_r)` Initializes a descriptor for pooling backward propagation primitive.
`static int`	`dnnl_pooling_forward_desc_init(dnnl_pooling_desc_t pool_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t dst_desc, long[] strides, long[] kernel, long[] padding_l, long[] padding_r)`
`static int`	`dnnl_pooling_forward_desc_init(dnnl_pooling_desc_t pool_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t dst_desc, LongBuffer strides, LongBuffer kernel, LongBuffer padding_l, LongBuffer padding_r)`
`static int`	`dnnl_pooling_forward_desc_init(dnnl_pooling_desc_t pool_desc, int prop_kind, int alg_kind, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t dst_desc, LongPointer strides, LongPointer kernel, LongPointer padding_l, LongPointer padding_r)` \} dnnl_api_logsoftmax
`static int`	`dnnl_post_ops_append_dw_k3s1p1(dnnl_post_ops post_ops, int weights_data_type, int bias_data_type, int dst_data_type, long count, int mask, float[] scales)`
`static int`	`dnnl_post_ops_append_dw_k3s1p1(dnnl_post_ops post_ops, int weights_data_type, int bias_data_type, int dst_data_type, long count, int mask, FloatBuffer scales)`
`static int`	`dnnl_post_ops_append_dw_k3s1p1(dnnl_post_ops post_ops, int weights_data_type, int bias_data_type, int dst_data_type, long count, int mask, FloatPointer scales)` Appends a depthwise post-op convolution with stride 1.
`static int`	`dnnl_post_ops_append_dw_k3s2p1(dnnl_post_ops post_ops, int weights_data_type, int bias_data_type, int dst_data_type, long count, int mask, float[] scales)`
`static int`	`dnnl_post_ops_append_dw_k3s2p1(dnnl_post_ops post_ops, int weights_data_type, int bias_data_type, int dst_data_type, long count, int mask, FloatBuffer scales)`
`static int`	`dnnl_post_ops_append_dw_k3s2p1(dnnl_post_ops post_ops, int weights_data_type, int bias_data_type, int dst_data_type, long count, int mask, FloatPointer scales)` Appends a depthwise post-op convolution with stride 2.
`static int`	`dnnl_post_ops_append_eltwise(dnnl_post_ops post_ops, float scale, int alg_kind, float alpha, float beta)` Appends an elementwise post-op.
`static int`	`dnnl_post_ops_append_sum_v2(dnnl_post_ops post_ops, float scale, int data_type)` Appends an accumulation v2 (sum) to post-ops.
`static int`	`dnnl_post_ops_append_sum(dnnl_post_ops post_ops, float scale)` Appends an accumulation (sum) to post-ops.
`static int`	`dnnl_post_ops_create(dnnl_post_ops post_ops)` Creates empty post-ops sequence.
`static int`	`dnnl_post_ops_create(PointerPointer post_ops)`
`static int`	`dnnl_post_ops_destroy(dnnl_post_ops post_ops)` Destroys post-ops.
`static int`	`dnnl_post_ops_get_kind(dnnl_post_ops post_ops, int index)` Returns the kind of a post-op entry.
`static int`	`dnnl_post_ops_get_params_dw_k3s1p1(dnnl_post_ops post_ops, int index, int[] weights_data_type, int[] bias_data_type, int[] dst_data_type, long[] count, int[] mask, float[] scales)`
`static int`	`dnnl_post_ops_get_params_dw_k3s1p1(dnnl_post_ops post_ops, int index, IntBuffer weights_data_type, IntBuffer bias_data_type, IntBuffer dst_data_type, LongBuffer count, IntBuffer mask, FloatBuffer scales)`
`static int`	`dnnl_post_ops_get_params_dw_k3s1p1(dnnl_post_ops post_ops, int index, IntPointer weights_data_type, IntPointer bias_data_type, IntPointer dst_data_type, LongPointer count, IntPointer mask, FloatPointer scales)`
`static int`	`dnnl_post_ops_get_params_dw_k3s1p1(dnnl_post_ops post_ops, int index, IntPointer weights_data_type, IntPointer bias_data_type, IntPointer dst_data_type, LongPointer count, IntPointer mask, PointerPointer scales)` Returns the parameters of an depthwise post-op with stride 1.
`static int`	`dnnl_post_ops_get_params_dw_k3s2p1(dnnl_post_ops post_ops, int index, int[] weights_data_type, int[] bias_data_type, int[] dst_data_type, long[] count, int[] mask, float[] scales)`
`static int`	`dnnl_post_ops_get_params_dw_k3s2p1(dnnl_post_ops post_ops, int index, IntBuffer weights_data_type, IntBuffer bias_data_type, IntBuffer dst_data_type, LongBuffer count, IntBuffer mask, FloatBuffer scales)`
`static int`	`dnnl_post_ops_get_params_dw_k3s2p1(dnnl_post_ops post_ops, int index, IntPointer weights_data_type, IntPointer bias_data_type, IntPointer dst_data_type, LongPointer count, IntPointer mask, FloatPointer scales)`
`static int`	`dnnl_post_ops_get_params_dw_k3s2p1(dnnl_post_ops post_ops, int index, IntPointer weights_data_type, IntPointer bias_data_type, IntPointer dst_data_type, LongPointer count, IntPointer mask, PointerPointer scales)` Returns the parameters of an depthwise post-op with stride 2.
`static int`	`dnnl_post_ops_get_params_eltwise(dnnl_post_ops post_ops, int index, float[] scale, int[] alg_kind, float[] alpha, float[] beta)`
`static int`	`dnnl_post_ops_get_params_eltwise(dnnl_post_ops post_ops, int index, FloatBuffer scale, IntBuffer alg_kind, FloatBuffer alpha, FloatBuffer beta)`
`static int`	`dnnl_post_ops_get_params_eltwise(dnnl_post_ops post_ops, int index, FloatPointer scale, IntPointer alg_kind, FloatPointer alpha, FloatPointer beta)` Returns the parameters of an elementwise post-up.
`static int`	`dnnl_post_ops_get_params_sum_v2(dnnl_post_ops post_ops, int index, float[] scale, int[] data_type)`
`static int`	`dnnl_post_ops_get_params_sum_v2(dnnl_post_ops post_ops, int index, FloatBuffer scale, IntBuffer data_type)`
`static int`	`dnnl_post_ops_get_params_sum_v2(dnnl_post_ops post_ops, int index, FloatPointer scale, IntPointer data_type)` Returns the parameters of an accumulation (sum) post-op with a data type parameter.
`static int`	`dnnl_post_ops_get_params_sum(dnnl_post_ops post_ops, int index, float[] scale)`
`static int`	`dnnl_post_ops_get_params_sum(dnnl_post_ops post_ops, int index, FloatBuffer scale)`
`static int`	`dnnl_post_ops_get_params_sum(dnnl_post_ops post_ops, int index, FloatPointer scale)` Returns the parameters of an accumulation (sum) post-op.
`static int`	`dnnl_post_ops_len(dnnl_post_ops post_ops)` Returns the length of post-ops.
`static int`	`dnnl_primitive_attr_clone(dnnl_primitive_attr attr, dnnl_primitive_attr existing_attr)` Clones primitive attributes.
`static int`	`dnnl_primitive_attr_clone(PointerPointer attr, dnnl_primitive_attr existing_attr)`
`static int`	`dnnl_primitive_attr_create(dnnl_primitive_attr attr)` \} dnnl_api_primitives_common
`static int`	`dnnl_primitive_attr_create(PointerPointer attr)`
`static int`	`dnnl_primitive_attr_destroy(dnnl_primitive_attr attr)` Destroys primitive attributes.
`static int`	`dnnl_primitive_attr_get_output_scales(dnnl_primitive_attr attr, long[] count, int[] mask, float[] scales)`
`static int`	`dnnl_primitive_attr_get_output_scales(dnnl_primitive_attr attr, LongBuffer count, IntBuffer mask, FloatBuffer scales)`
`static int`	`dnnl_primitive_attr_get_output_scales(dnnl_primitive_attr attr, LongPointer count, IntPointer mask, FloatPointer scales)`
`static int`	`dnnl_primitive_attr_get_output_scales(dnnl_primitive_attr attr, LongPointer count, IntPointer mask, PointerPointer scales)` Returns primitive attributes output scaling factors correspondence mask and values.
`static int`	`dnnl_primitive_attr_get_post_ops(dnnl_primitive_attr attr, dnnl_post_ops post_ops)` Returns primitive attributes post-ops.
`static int`	`dnnl_primitive_attr_get_post_ops(dnnl_primitive_attr attr, PointerPointer post_ops)`
`static int`	`dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr, int arg, long[] count, int[] mask, float[] scales)`
`static int`	`dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr, int arg, LongBuffer count, IntBuffer mask, FloatBuffer scales)`
`static int`	`dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr, int arg, LongPointer count, IntPointer mask, FloatPointer scales)`
`static int`	`dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr, int arg, LongPointer count, IntPointer mask, PointerPointer scales)` Returns primitive attributes scaling factors correspondence mask and values for a given memory argument.
`static int`	`dnnl_primitive_attr_get_scratchpad_mode(dnnl_primitive_attr attr, int[] mode)`
`static int`	`dnnl_primitive_attr_get_scratchpad_mode(dnnl_primitive_attr attr, IntBuffer mode)`
`static int`	`dnnl_primitive_attr_get_scratchpad_mode(dnnl_primitive_attr attr, IntPointer mode)` Returns the primitive attributes scratchpad mode.
`static int`	`dnnl_primitive_attr_get_zero_points(dnnl_primitive_attr attr, int arg, long[] count, int[] mask, int[] zero_points)`
`static int`	`dnnl_primitive_attr_get_zero_points(dnnl_primitive_attr attr, int arg, LongBuffer count, IntBuffer mask, IntBuffer zero_points)`
`static int`	`dnnl_primitive_attr_get_zero_points(dnnl_primitive_attr attr, int arg, LongPointer count, IntPointer mask, IntPointer zero_points)`
`static int`	`dnnl_primitive_attr_get_zero_points(dnnl_primitive_attr attr, int arg, LongPointer count, IntPointer mask, PointerPointer zero_points)` Returns \p count, correspondence zero point \p mask, and a pointer to a constant int32_t array of \p zero_points for given \p attr and memory argument (index), previously set by dnnl_primitive_attr_set_zero_points.
`static int`	`dnnl_primitive_attr_set_output_scales(dnnl_primitive_attr attr, long count, int mask, float[] scales)`
`static int`	`dnnl_primitive_attr_set_output_scales(dnnl_primitive_attr attr, long count, int mask, FloatBuffer scales)`
`static int`	`dnnl_primitive_attr_set_output_scales(dnnl_primitive_attr attr, long count, int mask, FloatPointer scales)` Sets output scaling factors correspondence mask and values.
`static int`	`dnnl_primitive_attr_set_post_ops(dnnl_primitive_attr attr, dnnl_post_ops post_ops)` Sets primitive attributes post-ops.
`static int`	`dnnl_primitive_attr_set_rnn_data_qparams(dnnl_primitive_attr attr, float scale, float shift)` \} dnnl_api_inner_product
`static int`	`dnnl_primitive_attr_set_rnn_weights_qparams(dnnl_primitive_attr attr, long count, int mask, float[] scales)`
`static int`	`dnnl_primitive_attr_set_rnn_weights_qparams(dnnl_primitive_attr attr, long count, int mask, FloatBuffer scales)`
`static int`	`dnnl_primitive_attr_set_rnn_weights_qparams(dnnl_primitive_attr attr, long count, int mask, FloatPointer scales)` Sets quantization scaling factors for RNN weights tensors.
`static int`	`dnnl_primitive_attr_set_scales(dnnl_primitive_attr attr, int arg, long count, int mask, float[] scales)`
`static int`	`dnnl_primitive_attr_set_scales(dnnl_primitive_attr attr, int arg, long count, int mask, FloatBuffer scales)`
`static int`	`dnnl_primitive_attr_set_scales(dnnl_primitive_attr attr, int arg, long count, int mask, FloatPointer scales)` Sets primitive attributes scaling factors for primitive operations for a given memory argument.
`static int`	`dnnl_primitive_attr_set_scratchpad_mode(dnnl_primitive_attr attr, int mode)` Sets primitive attributes scratchpad mode.
`static int`	`dnnl_primitive_attr_set_zero_points(dnnl_primitive_attr attr, int arg, long count, int mask, int[] zero_points)`
`static int`	`dnnl_primitive_attr_set_zero_points(dnnl_primitive_attr attr, int arg, long count, int mask, IntBuffer zero_points)`
`static int`	`dnnl_primitive_attr_set_zero_points(dnnl_primitive_attr attr, int arg, long count, int mask, IntPointer zero_points)` Sets primitive attributes zero points for primitive operations for a given memory argument.
`static int`	`dnnl_primitive_create(dnnl_primitive primitive, dnnl_primitive_desc primitive_desc)` Creates a primitive.
`static int`	`dnnl_primitive_create(PointerPointer primitive, dnnl_primitive_desc primitive_desc)`
`static int`	`dnnl_primitive_desc_clone(dnnl_primitive_desc primitive_desc, dnnl_primitive_desc existing_primitive_desc)` Clones a primitive descriptor.
`static int`	`dnnl_primitive_desc_clone(PointerPointer primitive_desc, dnnl_primitive_desc existing_primitive_desc)`
`static int`	`dnnl_primitive_desc_create(dnnl_primitive_desc primitive_desc, const_dnnl_op_desc_t op_desc, dnnl_primitive_attr attr, dnnl_engine engine, dnnl_primitive_desc hint_forward_primitive_desc)` Creates a primitive descriptor.
`static int`	`dnnl_primitive_desc_create(PointerPointer primitive_desc, const_dnnl_op_desc_t op_desc, dnnl_primitive_attr attr, dnnl_engine engine, dnnl_primitive_desc hint_forward_primitive_desc)`
`static int`	`dnnl_primitive_desc_destroy(dnnl_primitive_desc primitive_desc)` Destroys a primitive descriptor.
`static int`	`dnnl_primitive_desc_get_attr(dnnl_primitive_desc primitive_desc, dnnl_primitive_attr attr)` Returns a constant reference to the attributes of a primitive descriptor.
`static int`	`dnnl_primitive_desc_get_attr(dnnl_primitive_desc primitive_desc, PointerPointer attr)`
`static int`	`dnnl_primitive_desc_iterator_create(dnnl_primitive_desc_iterator iterator, const_dnnl_op_desc_t op_desc, dnnl_primitive_attr attr, dnnl_engine engine, dnnl_primitive_desc hint_forward_primitive_desc)` \addtogroup dnnl_api \{
`static int`	`dnnl_primitive_desc_iterator_create(PointerPointer iterator, const_dnnl_op_desc_t op_desc, dnnl_primitive_attr attr, dnnl_engine engine, dnnl_primitive_desc hint_forward_primitive_desc)`
`static int`	`dnnl_primitive_desc_iterator_destroy(dnnl_primitive_desc_iterator iterator)` Destroys a primitive descriptor iterator.
`static dnnl_primitive_desc`	`dnnl_primitive_desc_iterator_fetch(dnnl_primitive_desc_iterator iterator)` Fetches the current primitive descriptor from a primitive descriptor iterator.
`static int`	`dnnl_primitive_desc_iterator_next(dnnl_primitive_desc_iterator iterator)` Advances the primitive descriptor iterator to point to the next available implementation.
`static dnnl_memory_desc_t`	`dnnl_primitive_desc_query_md(dnnl_primitive_desc primitive_desc, int what, int index)` Queries primitive descriptor for a memory descriptor.
`static int`	`dnnl_primitive_desc_query_s32(dnnl_primitive_desc primitive_desc, int what, int index)` Queries primitive descriptor for a signed 32bit int.
`static int`	`dnnl_primitive_desc_query(dnnl_primitive_desc primitive_desc, int what, int index, Pointer result)` Queries a primitive descriptor for various pieces of information.
`static int`	`dnnl_primitive_destroy(dnnl_primitive primitive)` Destroys a primitive.
`static int`	`dnnl_primitive_execute(dnnl_primitive primitive, dnnl_stream stream, int nargs, dnnl_exec_arg_t args)` Executes a primitive.
`static int`	`dnnl_primitive_get_primitive_desc(dnnl_primitive primitive, dnnl_primitive_desc primitive_desc)` Retrieves a constant reference to the primitive descriptor of a given primitive.
`static int`	`dnnl_primitive_get_primitive_desc(dnnl_primitive primitive, PointerPointer primitive_desc)`
`static int`	`dnnl_reorder_primitive_desc_create(dnnl_primitive_desc reorder_primitive_desc, dnnl_memory_desc_t src_desc, dnnl_engine src_engine, dnnl_memory_desc_t dst_desc, dnnl_engine dst_engine, dnnl_primitive_attr attr)` \} dnnl_api_memory
`static int`	`dnnl_reorder_primitive_desc_create(PointerPointer reorder_primitive_desc, dnnl_memory_desc_t src_desc, dnnl_engine src_engine, dnnl_memory_desc_t dst_desc, dnnl_engine dst_engine, dnnl_primitive_attr attr)`
`static int`	`dnnl_resampling_backward_desc_init(dnnl_resampling_desc_t resampling_desc, int alg_kind, float[] factors, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t diff_dst_desc)`
`static int`	`dnnl_resampling_backward_desc_init(dnnl_resampling_desc_t resampling_desc, int alg_kind, FloatBuffer factors, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t diff_dst_desc)`
`static int`	`dnnl_resampling_backward_desc_init(dnnl_resampling_desc_t resampling_desc, int alg_kind, FloatPointer factors, dnnl_memory_desc_t diff_src_desc, dnnl_memory_desc_t diff_dst_desc)` Initializes a descriptor for resampling backward propagation primitive.
`static int`	`dnnl_resampling_forward_desc_init(dnnl_resampling_desc_t resampling_desc, int prop_kind, int alg_kind, float[] factors, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t dst_desc)`
`static int`	`dnnl_resampling_forward_desc_init(dnnl_resampling_desc_t resampling_desc, int prop_kind, int alg_kind, FloatBuffer factors, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t dst_desc)`
`static int`	`dnnl_resampling_forward_desc_init(dnnl_resampling_desc_t resampling_desc, int prop_kind, int alg_kind, FloatPointer factors, dnnl_memory_desc_t src_desc, dnnl_memory_desc_t dst_desc)` \} dnnl_api_matmul
`static long`	`DNNL_RUNTIME_DIM_VAL()` A wildcard value for dimensions that are unknown at a primitive creation time.
`static double`	`DNNL_RUNTIME_F32_VAL()` \endcond
`static int`	`DNNL_RUNTIME_S32_VAL_REP()` \cond DO_NOT_DOCUMENT_THIS
`static long`	`DNNL_RUNTIME_SIZE_VAL()` A `size_t` counterpart of the DNNL_RUNTIME_DIM_VAL.
`static int`	`dnnl_set_jit_dump(int enable)` Configures dumping of JIT-generated code.
`static int`	`dnnl_set_jit_profiling_flags(int flags)` Sets library profiling flags.
`static int`	`dnnl_set_jit_profiling_jitdumpdir(BytePointer dir)` Sets JIT dump output path.
`static int`	`dnnl_set_jit_profiling_jitdumpdir(String dir)`
`static int`	`dnnl_set_max_cpu_isa(int isa)` Sets the maximal ISA the library can dispatch to on the CPU.
`static int`	`dnnl_set_primitive_cache_capacity(int _capacity)` Sets a number of primitives that can be held in the primitive cache at a time.
`static int`	`dnnl_set_verbose(int level)` \} dnnl_api_primitive_cache
`static int`	`dnnl_sgemm(byte transa, byte transb, long M, long N, long K, float alpha, float[] A, long lda, float[] B, long ldb, float beta, float[] C, long ldc)`
`static int`	`dnnl_sgemm(byte transa, byte transb, long M, long N, long K, float alpha, FloatBuffer A, long lda, FloatBuffer B, long ldb, float beta, FloatBuffer C, long ldc)`
`static int`	`dnnl_sgemm(byte transa, byte transb, long M, long N, long K, float alpha, FloatPointer A, long lda, FloatPointer B, long ldb, float beta, FloatPointer C, long ldc)` \} dnnl_api_service
`static int`	`dnnl_shuffle_backward_desc_init(dnnl_shuffle_desc_t shuffle_desc, dnnl_memory_desc_t diff_data_desc, int axis, long group_size)` Initializes a descriptor for shuffle backward propagation primitive.
`static int`	`dnnl_shuffle_forward_desc_init(dnnl_shuffle_desc_t shuffle_desc, int prop_kind, dnnl_memory_desc_t data_desc, int axis, long group_size)` \} dnnl_api_deconvolution
`static int`	`dnnl_softmax_backward_desc_init(dnnl_softmax_desc_t softmax_desc, dnnl_memory_desc_t diff_data_desc, dnnl_memory_desc_t data_desc, int softmax_axis)` Initializes a descriptor for softmax backward propagation primitive.
`static int`	`dnnl_softmax_forward_desc_init(dnnl_softmax_desc_t softmax_desc, int prop_kind, dnnl_memory_desc_t data_desc, int softmax_axis)` \} dnnl_api_eltwise
`static int`	`dnnl_stream_attr_create(dnnl_stream_attr attr, int kind)` \} dnnl_api_engine
`static int`	`dnnl_stream_attr_create(PointerPointer attr, int kind)`
`static int`	`dnnl_stream_attr_destroy(dnnl_stream_attr attr)` Destroys execution stream attributes.
`static int`	`dnnl_stream_create_v2(dnnl_stream stream, dnnl_engine engine, int flags, dnnl_stream_attr attr)` Creates an execution stream.
`static int`	`dnnl_stream_create_v2(PointerPointer stream, dnnl_engine engine, int flags, dnnl_stream_attr attr)`
`static int`	`dnnl_stream_create(dnnl_stream stream, dnnl_engine engine, int flags)` Creates an execution stream.
`static int`	`dnnl_stream_create(PointerPointer stream, dnnl_engine engine, int flags)`
`static int`	`dnnl_stream_destroy(dnnl_stream stream)` Destroys an execution stream.
`static int`	`dnnl_stream_wait(dnnl_stream stream)` Waits for all primitives in the execution stream to finish computations.
`static int`	`dnnl_sum_primitive_desc_create(dnnl_primitive_desc sum_primitive_desc, dnnl_memory_desc_t dst_desc, int n, float[] scales, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)`
`static int`	`dnnl_sum_primitive_desc_create(dnnl_primitive_desc sum_primitive_desc, dnnl_memory_desc_t dst_desc, int n, FloatBuffer scales, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)`
`static int`	`dnnl_sum_primitive_desc_create(dnnl_primitive_desc sum_primitive_desc, dnnl_memory_desc_t dst_desc, int n, FloatPointer scales, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)` \} dnnl_api_concat
`static int`	`dnnl_sum_primitive_desc_create(PointerPointer sum_primitive_desc, dnnl_memory_desc_t dst_desc, int n, float[] scales, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)`
`static int`	`dnnl_sum_primitive_desc_create(PointerPointer sum_primitive_desc, dnnl_memory_desc_t dst_desc, int n, FloatBuffer scales, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)`
`static int`	`dnnl_sum_primitive_desc_create(PointerPointer sum_primitive_desc, dnnl_memory_desc_t dst_desc, int n, FloatPointer scales, dnnl_memory_desc_t src_descs, dnnl_primitive_attr attr, dnnl_engine engine)`
`static int`	dnnl_vanilla_rnn_backward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int activation, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, dnnl_memory_desc_t diff_src_layer_desc, dnnl_memory_desc_t diff_src_iter_desc, dnnl_memory_desc_t diff_weights_layer_desc, dnnl_memory_desc_t diff_weights_iter_desc, dnnl_memory_desc_t diff_bias_desc, dnnl_memory_desc_t diff_dst_layer_desc, dnnl_memory_desc_t diff_dst_iter_desc, int flags, float alpha, float beta) Initializes a descriptor for vanilla RNN backward propagation primitive.
`static int`	`dnnl_vanilla_rnn_forward_desc_init(dnnl_rnn_desc_t rnn_desc, int prop_kind, int activation, int direction, dnnl_memory_desc_t src_layer_desc, dnnl_memory_desc_t src_iter_desc, dnnl_memory_desc_t weights_layer_desc, dnnl_memory_desc_t weights_iter_desc, dnnl_memory_desc_t bias_desc, dnnl_memory_desc_t dst_layer_desc, dnnl_memory_desc_t dst_iter_desc, int flags, float alpha, float beta)` \} dnnl_api_attributes
`static String`	`DNNL_VERSION_HASH()` Git commit hash
`static dnnl_version_t`	`dnnl_version()` Returns library version information.
`static boolean`	`equals(int a, memory.data_type b)`
`static boolean`	`equals(int a, memory.format_tag b)`
`static boolean`	`equals(memory.data_type a, int b)`
`static boolean`	`equals(memory.format_tag a, int b)`
`static dnnl.status`	`gemm_s8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, byte[] A, long lda, byte ao, byte[] B, long ldb, byte bo, float beta, int[] C, long ldc, int[] co)`
`static int`	`gemm_s8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, ByteBuffer A, long lda, byte ao, ByteBuffer B, long ldb, byte bo, float beta, IntBuffer C, long ldc, IntBuffer co)`
`static dnnl.status`	`gemm_s8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, BytePointer A, long lda, byte ao, BytePointer B, long ldb, byte bo, float beta, IntPointer C, long ldc, IntPointer co)` \copydoc dnnl_gemm_s8s8s32()
`static dnnl.status`	`gemm_u8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, byte[] A, long lda, byte ao, byte[] B, long ldb, byte bo, float beta, int[] C, long ldc, int[] co)`
`static int`	`gemm_u8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, ByteBuffer A, long lda, byte ao, ByteBuffer B, long ldb, byte bo, float beta, IntBuffer C, long ldc, IntBuffer co)`
`static dnnl.status`	`gemm_u8s8s32(byte transa, byte transb, byte offsetc, long M, long N, long K, float alpha, BytePointer A, long lda, byte ao, BytePointer B, long ldb, byte bo, float beta, IntPointer C, long ldc, IntPointer co)` \copydoc dnnl_gemm_u8s8s32()
`static dnnl.cpu_isa`	`get_effective_cpu_isa()` \copydoc dnnl_get_effective_cpu_isa()
`static int`	`get_primitive_cache_capacity()` \} dnnl_api_service
`static dnnl.normalization_flags`	`not(dnnl.normalization_flags rhs)`
`static dnnl.rnn_flags`	`not(dnnl.rnn_flags rhs)`
`static int`	`not(int rhs)`
`static stream.flags`	`not(stream.flags rhs)`
`static boolean`	`notEquals(int a, memory.data_type b)`
`static boolean`	`notEquals(int a, memory.format_tag b)`
`static boolean`	`notEquals(memory.data_type a, int b)`
`static boolean`	`notEquals(memory.format_tag a, int b)`
`static dnnl.normalization_flags`	`or(dnnl.normalization_flags lhs, dnnl.normalization_flags rhs)`
`static dnnl.rnn_flags`	`or(dnnl.rnn_flags lhs, dnnl.rnn_flags rhs)`
`static int`	`or(int lhs, int rhs)`
`static stream.flags`	`or(stream.flags lhs, stream.flags rhs)` \} dnnl_api_engine
`static int[]`	`orPut(int[] lhs, dnnl.normalization_flags rhs)`
`static int[]`	`orPut(int[] lhs, dnnl.rnn_flags rhs)`
`static int[]`	`orPut(int[] lhs, int rhs)`
`static IntBuffer`	`orPut(IntBuffer lhs, dnnl.normalization_flags rhs)`
`static IntBuffer`	`orPut(IntBuffer lhs, dnnl.rnn_flags rhs)`
`static IntBuffer`	`orPut(IntBuffer lhs, int rhs)`
`static IntPointer`	`orPut(IntPointer lhs, dnnl.normalization_flags rhs)`
`static IntPointer`	`orPut(IntPointer lhs, dnnl.rnn_flags rhs)`
`static IntPointer`	`orPut(IntPointer lhs, int rhs)`
`static stream.flags`	`orPut(stream.flags lhs, stream.flags rhs)`
`static dnnl.status`	`set_jit_dump(int enable)` \copydoc dnnl_set_jit_dump()
`static dnnl.status`	`set_jit_profiling_flags(int flags)` \copydoc dnnl_set_jit_profiling_flags()
`static dnnl.status`	`set_jit_profiling_jitdumpdir(BytePointer dir)` \copydoc dnnl_set_jit_profiling_jitdumpdir()
`static int`	`set_jit_profiling_jitdumpdir(String dir)`
`static dnnl.status`	`set_max_cpu_isa(dnnl.cpu_isa isa)` \copydoc dnnl_set_max_cpu_isa()
`static int`	`set_max_cpu_isa(int isa)`
`static void`	`set_primitive_cache_capacity(int _capacity)` \copydoc dnnl_set_primitive_cache_capacity(int capacity)
`static dnnl.status`	`set_verbose(int level)` \copydoc dnnl_set_verbose()
`static dnnl.status`	`sgemm(byte transa, byte transb, long M, long N, long K, float alpha, float[] A, long lda, float[] B, long ldb, float beta, float[] C, long ldc)`
`static int`	`sgemm(byte transa, byte transb, long M, long N, long K, float alpha, FloatBuffer A, long lda, FloatBuffer B, long ldb, float beta, FloatBuffer C, long ldc)`
`static dnnl.status`	`sgemm(byte transa, byte transb, long M, long N, long K, float alpha, FloatPointer A, long lda, FloatPointer B, long ldb, float beta, FloatPointer C, long ldc)` \} dnnl_api_primitive_cache
`static dnnl_version_t`	`version()` \copydoc dnnl_version()
`static dnnl.normalization_flags`	`xor(dnnl.normalization_flags lhs, dnnl.normalization_flags rhs)`
`static dnnl.rnn_flags`	`xor(dnnl.rnn_flags lhs, dnnl.rnn_flags rhs)`
`static int`	`xor(int lhs, int rhs)`
`static stream.flags`	`xor(stream.flags lhs, stream.flags rhs)`
`static int[]`	`xorPut(int[] lhs, dnnl.normalization_flags rhs)`
`static int[]`	`xorPut(int[] lhs, dnnl.rnn_flags rhs)`
`static int[]`	`xorPut(int[] lhs, int rhs)`
`static IntBuffer`	`xorPut(IntBuffer lhs, dnnl.normalization_flags rhs)`
`static IntBuffer`	`xorPut(IntBuffer lhs, dnnl.rnn_flags rhs)`
`static IntBuffer`	`xorPut(IntBuffer lhs, int rhs)`
`static IntPointer`	`xorPut(IntPointer lhs, dnnl.normalization_flags rhs)`
`static IntPointer`	`xorPut(IntPointer lhs, dnnl.rnn_flags rhs)`
`static IntPointer`	`xorPut(IntPointer lhs, int rhs)`
`static stream.flags`	`xorPut(stream.flags lhs, stream.flags rhs)`

Methods inherited from class org.bytedeco.dnnl.presets.dnnl
map

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail
- dnnl_success
```
public static final int dnnl_success
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_out_of_memory
```
public static final int dnnl_out_of_memory
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_invalid_arguments
```
public static final int dnnl_invalid_arguments
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_unimplemented
```
public static final int dnnl_unimplemented
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_iterator_ends
```
public static final int dnnl_iterator_ends
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_runtime_error
```
public static final int dnnl_runtime_error
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_not_required
```
public static final int dnnl_not_required
```
  enum dnnl_status_t
  
  See Also:
  
  Constant Field Values
- dnnl_data_type_undef
```
public static final int dnnl_data_type_undef
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_f16
```
public static final int dnnl_f16
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_bf16
```
public static final int dnnl_bf16
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_f32
```
public static final int dnnl_f32
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_s32
```
public static final int dnnl_s32
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_s8
```
public static final int dnnl_s8
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_u8
```
public static final int dnnl_u8
```
  enum dnnl_data_type_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_kind_undef
```
public static final int dnnl_format_kind_undef
```
  enum dnnl_format_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_kind_any
```
public static final int dnnl_format_kind_any
```
  enum dnnl_format_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_blocked
```
public static final int dnnl_blocked
```
  enum dnnl_format_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_kind_wino
```
public static final int dnnl_format_kind_wino
```
  enum dnnl_format_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_kind_rnn_packed
```
public static final int dnnl_format_kind_rnn_packed
```
  enum dnnl_format_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_tag_undef
```
public static final int dnnl_format_tag_undef
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_tag_any
```
public static final int dnnl_format_tag_any
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_a
```
public static final int dnnl_a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ab
```
public static final int dnnl_ab
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_abc
```
public static final int dnnl_abc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_abcd
```
public static final int dnnl_abcd
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_abcde
```
public static final int dnnl_abcde
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_abcdef
```
public static final int dnnl_abcdef
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_abdc
```
public static final int dnnl_abdc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_abdec
```
public static final int dnnl_abdec
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_acb
```
public static final int dnnl_acb
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_acbde
```
public static final int dnnl_acbde
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_acbdef
```
public static final int dnnl_acbdef
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_acdb
```
public static final int dnnl_acdb
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_acdeb
```
public static final int dnnl_acdeb
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ba
```
public static final int dnnl_ba
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_bac
```
public static final int dnnl_bac
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_bacd
```
public static final int dnnl_bacd
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_bacde
```
public static final int dnnl_bacde
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_bca
```
public static final int dnnl_bca
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_bcda
```
public static final int dnnl_bcda
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_bcdea
```
public static final int dnnl_bcdea
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_cba
```
public static final int dnnl_cba
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_cdba
```
public static final int dnnl_cdba
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_dcab
```
public static final int dnnl_dcab
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_cdeba
```
public static final int dnnl_cdeba
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_decab
```
public static final int dnnl_decab
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_defcab
```
public static final int dnnl_defcab
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abc16a
```
public static final int dnnl_Abc16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc16a16b
```
public static final int dnnl_ABc16a16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc32a32b
```
public static final int dnnl_ABc32a32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc4a4b
```
public static final int dnnl_ABc4a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBc16b
```
public static final int dnnl_aBc16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc16b16a
```
public static final int dnnl_ABc16b16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abc4a
```
public static final int dnnl_Abc4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBc32b
```
public static final int dnnl_aBc32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBc4b
```
public static final int dnnl_aBc4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc4b16a4b
```
public static final int dnnl_ABc4b16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc2b8a4b
```
public static final int dnnl_ABc2b8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc16b16a4b
```
public static final int dnnl_ABc16b16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc16b16a2b
```
public static final int dnnl_ABc16b16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc4b4a
```
public static final int dnnl_ABc4b4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc8a16b2a
```
public static final int dnnl_ABc8a16b2a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc8a8b
```
public static final int dnnl_ABc8a8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc8a4b
```
public static final int dnnl_ABc8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBc8b
```
public static final int dnnl_aBc8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc8b16a2b
```
public static final int dnnl_ABc8b16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAc8a16b2a
```
public static final int dnnl_BAc8a16b2a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc8b8a
```
public static final int dnnl_ABc8b8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcd16a
```
public static final int dnnl_Abcd16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcd8a
```
public static final int dnnl_Abcd8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd16a16b
```
public static final int dnnl_ABcd16a16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcd32a
```
public static final int dnnl_Abcd32a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd32a32b
```
public static final int dnnl_ABcd32a32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcd16b
```
public static final int dnnl_aBcd16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd16b16a
```
public static final int dnnl_ABcd16b16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd16b16c
```
public static final int dnnl_aBCd16b16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd16c16b
```
public static final int dnnl_aBCd16c16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcd4a
```
public static final int dnnl_Abcd4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcd32b
```
public static final int dnnl_aBcd32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcd4b
```
public static final int dnnl_aBcd4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd4b16a4b
```
public static final int dnnl_ABcd4b16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd16b16a4b
```
public static final int dnnl_ABcd16b16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd16b16a2b
```
public static final int dnnl_ABcd16b16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd4b4a
```
public static final int dnnl_ABcd4b4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd4a4b
```
public static final int dnnl_ABcd4a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd2c4b2c
```
public static final int dnnl_aBCd2c4b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd4b8c2b
```
public static final int dnnl_aBCd4b8c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd4c16b4c
```
public static final int dnnl_aBCd4c16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd2c8b4c
```
public static final int dnnl_aBCd2c8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd16c16b4c
```
public static final int dnnl_aBCd16c16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd16c16b2c
```
public static final int dnnl_aBCd16c16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd4c4b
```
public static final int dnnl_aBCd4c4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd4b4c
```
public static final int dnnl_aBCd4b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd8a16b2a
```
public static final int dnnl_ABcd8a16b2a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd2b8a4b
```
public static final int dnnl_ABcd2b8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd8a8b
```
public static final int dnnl_ABcd8a8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd8a4b
```
public static final int dnnl_ABcd8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcd8b
```
public static final int dnnl_aBcd8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd4c8b2c
```
public static final int dnnl_aBCd4c8b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd8b16a2b
```
public static final int dnnl_ABcd8b16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd8b16c2b
```
public static final int dnnl_aBCd8b16c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcd8a16b2a
```
public static final int dnnl_BAcd8a16b2a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd8b8a
```
public static final int dnnl_ABcd8b8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd8b8c
```
public static final int dnnl_aBCd8b8c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd8b4c
```
public static final int dnnl_aBCd8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd8c16b2c
```
public static final int dnnl_aBCd8c16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde8a16b2a
```
public static final int dnnl_ABcde8a16b2a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBd8b16c2b
```
public static final int dnnl_aCBd8b16c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd8c8b
```
public static final int dnnl_aBCd8c8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcde16a
```
public static final int dnnl_Abcde16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcde32a
```
public static final int dnnl_Abcde32a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde16a16b
```
public static final int dnnl_ABcde16a16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcde8a16b2a
```
public static final int dnnl_BAcde8a16b2a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd2b4c2b
```
public static final int dnnl_aBCd2b4c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde4b16a4b
```
public static final int dnnl_ABcde4b16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde2b8a4b
```
public static final int dnnl_ABcde2b8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcde16b
```
public static final int dnnl_aBcde16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde16b16a
```
public static final int dnnl_ABcde16b16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde16b16c
```
public static final int dnnl_aBCde16b16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde16c16b
```
public static final int dnnl_aBCde16c16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde2c8b4c
```
public static final int dnnl_aBCde2c8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcde4a
```
public static final int dnnl_Abcde4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcde32b
```
public static final int dnnl_aBcde32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcde4b
```
public static final int dnnl_aBcde4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde4b4a
```
public static final int dnnl_ABcde4b4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde4a4b
```
public static final int dnnl_ABcde4a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde4b4c
```
public static final int dnnl_aBCde4b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde2c4b2c
```
public static final int dnnl_aBCde2c4b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde4b8c2b
```
public static final int dnnl_aBCde4b8c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde4c16b4c
```
public static final int dnnl_aBCde4c16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde16c16b4c
```
public static final int dnnl_aBCde16c16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde16c16b2c
```
public static final int dnnl_aBCde16c16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde4c4b
```
public static final int dnnl_aBCde4c4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcde8a
```
public static final int dnnl_Abcde8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde8a8b
```
public static final int dnnl_ABcde8a8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde8a4b
```
public static final int dnnl_ABcde8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcde16b16a
```
public static final int dnnl_BAcde16b16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcde8b
```
public static final int dnnl_aBcde8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde8b16a2b
```
public static final int dnnl_ABcde8b16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde8b16c2b
```
public static final int dnnl_aBCde8b16c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde4c8b2c
```
public static final int dnnl_aBCde4c8b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBde8b16c2b
```
public static final int dnnl_aCBde8b16c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde8b8a
```
public static final int dnnl_ABcde8b8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde32a32b
```
public static final int dnnl_ABcde32a32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde8b8c
```
public static final int dnnl_aBCde8b8c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde8b4c
```
public static final int dnnl_aBCde8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABc4a8b8a4b
```
public static final int dnnl_ABc4a8b8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd4a8b8a4b
```
public static final int dnnl_ABcd4a8b8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcde4a8b8a4b
```
public static final int dnnl_ABcde4a8b8a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAc4b8a8b4a
```
public static final int dnnl_BAc4b8a8b4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcd4b8a8b4a
```
public static final int dnnl_BAcd4b8a8b4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcde4b8a8b4a
```
public static final int dnnl_BAcde4b8a8b4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ABcd2a8b8a2b
```
public static final int dnnl_ABcd2a8b8a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCd4b8c8b4c
```
public static final int dnnl_aBCd4b8c8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde4b8c8b4c
```
public static final int dnnl_aBCde4b8c8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde2b8c8b2c
```
public static final int dnnl_aBCde2b8c8b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde8c16b2c
```
public static final int dnnl_aBCde8c16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde8c8b
```
public static final int dnnl_aBCde8c8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCde2b4c2b
```
public static final int dnnl_aBCde2b4c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcdef16b
```
public static final int dnnl_aBcdef16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef16b16c
```
public static final int dnnl_aBCdef16b16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef16c16b
```
public static final int dnnl_aBCdef16c16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef4c16b4c
```
public static final int dnnl_aBCdef4c16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef2c8b4c
```
public static final int dnnl_aBCdef2c8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef4c8b2c
```
public static final int dnnl_aBCdef4c8b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef2b4c2b
```
public static final int dnnl_aBCdef2b4c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBcdef4b
```
public static final int dnnl_aBcdef4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef4c4b
```
public static final int dnnl_aBCdef4c4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef4b4c
```
public static final int dnnl_aBCdef4b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef2c4b2c
```
public static final int dnnl_aBCdef2c4b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef4b8c2b
```
public static final int dnnl_aBCdef4b8c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef8b8c
```
public static final int dnnl_aBCdef8b8c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef8b4c
```
public static final int dnnl_aBCdef8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef8c16b2c
```
public static final int dnnl_aBCdef8c16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef4b8c8b4c
```
public static final int dnnl_aBCdef4b8c8b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef8b16c2b
```
public static final int dnnl_aBCdef8b16c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBdef8b16c2b
```
public static final int dnnl_aCBdef8b16c2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBCdef8c8b
```
public static final int dnnl_aBCdef8c8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdc16b
```
public static final int dnnl_aBdc16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdC16b2c
```
public static final int dnnl_aBdC16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdC16b4c
```
public static final int dnnl_aBdC16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdc4b
```
public static final int dnnl_aBdc4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdc8b
```
public static final int dnnl_aBdc8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdec16b
```
public static final int dnnl_aBdec16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdeC16b2c
```
public static final int dnnl_aBdeC16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdeC16b4c
```
public static final int dnnl_aBdeC16b4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdec32b
```
public static final int dnnl_aBdec32b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdec4b
```
public static final int dnnl_aBdec4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdec8b
```
public static final int dnnl_aBdec8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdefc16b
```
public static final int dnnl_aBdefc16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdefC16b2c
```
public static final int dnnl_aBdefC16b2c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBdef16c16b
```
public static final int dnnl_aCBdef16c16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdefc4b
```
public static final int dnnl_aBdefc4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aBdefc8b
```
public static final int dnnl_aBdefc8b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcdef16a
```
public static final int dnnl_Abcdef16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Abcdef32a
```
public static final int dnnl_Abcdef32a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acb16a
```
public static final int dnnl_Acb16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_AcB16a2b
```
public static final int dnnl_AcB16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_AcB16a4b
```
public static final int dnnl_AcB16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acb4a
```
public static final int dnnl_Acb4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acb8a
```
public static final int dnnl_Acb8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBd16b16c
```
public static final int dnnl_aCBd16b16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBd16c16b
```
public static final int dnnl_aCBd16c16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBde16b16c
```
public static final int dnnl_aCBde16b16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBde16c16b
```
public static final int dnnl_aCBde16c16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdb16a
```
public static final int dnnl_Acdb16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_AcdB16a2b
```
public static final int dnnl_AcdB16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_AcdB16a4b
```
public static final int dnnl_AcdB16a4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdb32a
```
public static final int dnnl_Acdb32a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdb4a
```
public static final int dnnl_Acdb4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdb8a
```
public static final int dnnl_Acdb8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdeb16a
```
public static final int dnnl_Acdeb16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_AcdeB16a2b
```
public static final int dnnl_AcdeB16a2b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdeb4a
```
public static final int dnnl_Acdeb4a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Acdeb8a
```
public static final int dnnl_Acdeb8a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAc16a16b
```
public static final int dnnl_BAc16a16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAc16b16a
```
public static final int dnnl_BAc16b16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcd16a16b
```
public static final int dnnl_BAcd16a16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcd16b16a
```
public static final int dnnl_BAcd16b16a
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBd4c8b8c4b
```
public static final int dnnl_aCBd4c8b8c4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBde4c8b8c4b
```
public static final int dnnl_aCBde4c8b8c4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBdef4c8b8c4b
```
public static final int dnnl_aCBdef4c8b8c4b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_BAcde16a16b
```
public static final int dnnl_BAcde16a16b
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_aCBdef16b16c
```
public static final int dnnl_aCBdef16b16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_format_tag_last
```
public static final int dnnl_format_tag_last
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_x
```
public static final int dnnl_x
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nc
```
public static final int dnnl_nc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_cn
```
public static final int dnnl_cn
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_tn
```
public static final int dnnl_tn
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nt
```
public static final int dnnl_nt
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ncw
```
public static final int dnnl_ncw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nwc
```
public static final int dnnl_nwc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nchw
```
public static final int dnnl_nchw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nhwc
```
public static final int dnnl_nhwc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_chwn
```
public static final int dnnl_chwn
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ncdhw
```
public static final int dnnl_ncdhw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ndhwc
```
public static final int dnnl_ndhwc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_oi
```
public static final int dnnl_oi
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_io
```
public static final int dnnl_io
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_oiw
```
public static final int dnnl_oiw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_owi
```
public static final int dnnl_owi
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_wio
```
public static final int dnnl_wio
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_iwo
```
public static final int dnnl_iwo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_oihw
```
public static final int dnnl_oihw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_hwio
```
public static final int dnnl_hwio
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ohwi
```
public static final int dnnl_ohwi
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ihwo
```
public static final int dnnl_ihwo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_iohw
```
public static final int dnnl_iohw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_oidhw
```
public static final int dnnl_oidhw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_iodhw
```
public static final int dnnl_iodhw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_dhwio
```
public static final int dnnl_dhwio
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_odhwi
```
public static final int dnnl_odhwi
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_idhwo
```
public static final int dnnl_idhwo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_goiw
```
public static final int dnnl_goiw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_wigo
```
public static final int dnnl_wigo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_goihw
```
public static final int dnnl_goihw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_hwigo
```
public static final int dnnl_hwigo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_giohw
```
public static final int dnnl_giohw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_goidhw
```
public static final int dnnl_goidhw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_giodhw
```
public static final int dnnl_giodhw
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_dhwigo
```
public static final int dnnl_dhwigo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_tnc
```
public static final int dnnl_tnc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ntc
```
public static final int dnnl_ntc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldnc
```
public static final int dnnl_ldnc
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldigo
```
public static final int dnnl_ldigo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldgoi
```
public static final int dnnl_ldgoi
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldio
```
public static final int dnnl_ldio
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldoi
```
public static final int dnnl_ldoi
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldgo
```
public static final int dnnl_ldgo
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCdhw32c
```
public static final int dnnl_nCdhw32c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCdhw16c
```
public static final int dnnl_nCdhw16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCdhw4c
```
public static final int dnnl_nCdhw4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCdhw8c
```
public static final int dnnl_nCdhw8c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nChw32c
```
public static final int dnnl_nChw32c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nChw16c
```
public static final int dnnl_nChw16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nChw4c
```
public static final int dnnl_nChw4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nChw8c
```
public static final int dnnl_nChw8c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCw32c
```
public static final int dnnl_nCw32c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCw16c
```
public static final int dnnl_nCw16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCw4c
```
public static final int dnnl_nCw4c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_nCw8c
```
public static final int dnnl_nCw8c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_NCw16n16c
```
public static final int dnnl_NCw16n16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_NCdhw16n16c
```
public static final int dnnl_NCdhw16n16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_NChw16n16c
```
public static final int dnnl_NChw16n16c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_NCw32n32c
```
public static final int dnnl_NCw32n32c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_NChw32n32c
```
public static final int dnnl_NChw32n32c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_NCdhw32n32c
```
public static final int dnnl_NCdhw32n32c
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOw16o16i
```
public static final int dnnl_IOw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOw16i16o
```
public static final int dnnl_IOw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw16i16o
```
public static final int dnnl_OIw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw16o16i
```
public static final int dnnl_OIw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Oiw16o
```
public static final int dnnl_Oiw16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw4i16o4i
```
public static final int dnnl_OIw4i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw2i8o4i
```
public static final int dnnl_OIw2i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw16i16o4i
```
public static final int dnnl_OIw16i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw16i16o2i
```
public static final int dnnl_OIw16i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw4i4o
```
public static final int dnnl_OIw4i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw4o4i
```
public static final int dnnl_OIw4o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Oiw4o
```
public static final int dnnl_Oiw4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw8i16o2i
```
public static final int dnnl_OIw8i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw8i8o
```
public static final int dnnl_OIw8i8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw8o16i2o
```
public static final int dnnl_OIw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOw8o16i2o
```
public static final int dnnl_IOw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw8o8i
```
public static final int dnnl_OIw8o8i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw8o4i
```
public static final int dnnl_OIw8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Owi16o
```
public static final int dnnl_Owi16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OwI16o2i
```
public static final int dnnl_OwI16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OwI16o4i
```
public static final int dnnl_OwI16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Owi4o
```
public static final int dnnl_Owi4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Owi8o
```
public static final int dnnl_Owi8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOhw16i16o
```
public static final int dnnl_IOhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOhw16o16i
```
public static final int dnnl_IOhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Ohwi16o
```
public static final int dnnl_Ohwi16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OhwI16o2i
```
public static final int dnnl_OhwI16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OhwI16o4i
```
public static final int dnnl_OhwI16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Ohwi32o
```
public static final int dnnl_Ohwi32o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Ohwi4o
```
public static final int dnnl_Ohwi4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Ohwi8o
```
public static final int dnnl_Ohwi8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw16i16o
```
public static final int dnnl_OIhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw16o16i
```
public static final int dnnl_OIhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Oihw16o
```
public static final int dnnl_Oihw16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw4i16o4i
```
public static final int dnnl_OIhw4i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw16i16o4i
```
public static final int dnnl_OIhw16i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw16i16o2i
```
public static final int dnnl_OIhw16i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw4i4o
```
public static final int dnnl_OIhw4i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw4o4i
```
public static final int dnnl_OIhw4o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Oihw4o
```
public static final int dnnl_Oihw4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw8i16o2i
```
public static final int dnnl_OIhw8i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw8i8o
```
public static final int dnnl_OIhw8i8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw8o16i2o
```
public static final int dnnl_OIhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw2i8o4i
```
public static final int dnnl_OIhw2i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOhw8o16i2o
```
public static final int dnnl_IOhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw8o8i
```
public static final int dnnl_OIhw8o8i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw8o4i
```
public static final int dnnl_OIhw8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Odhwi16o
```
public static final int dnnl_Odhwi16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OdhwI16o2i
```
public static final int dnnl_OdhwI16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Odhwi4o
```
public static final int dnnl_Odhwi4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Odhwi8o
```
public static final int dnnl_Odhwi8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw16i16o
```
public static final int dnnl_OIdhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw16o16i
```
public static final int dnnl_OIdhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Oidhw16o
```
public static final int dnnl_Oidhw16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw4i4o
```
public static final int dnnl_OIdhw4i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw4o4i
```
public static final int dnnl_OIdhw4o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Oidhw4o
```
public static final int dnnl_Oidhw4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw8i16o2i
```
public static final int dnnl_OIdhw8i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw8i8o
```
public static final int dnnl_OIdhw8i8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw8o16i2o
```
public static final int dnnl_OIdhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOdhw8o16i2o
```
public static final int dnnl_IOdhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw4i16o4i
```
public static final int dnnl_OIdhw4i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw2i8o4i
```
public static final int dnnl_OIdhw2i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw8o8i
```
public static final int dnnl_OIdhw8o8i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw8o4i
```
public static final int dnnl_OIdhw8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOdhw16i16o
```
public static final int dnnl_IOdhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIdhw4o8i8o4i
```
public static final int dnnl_OIdhw4o8i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOdhw16o16i
```
public static final int dnnl_IOdhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goiw16g
```
public static final int dnnl_Goiw16g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goiw8g
```
public static final int dnnl_Goiw8g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOw16o16i
```
public static final int dnnl_gIOw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOw16i16o
```
public static final int dnnl_gIOw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw16i16o
```
public static final int dnnl_gOIw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw16o16i
```
public static final int dnnl_gOIw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOiw16o
```
public static final int dnnl_gOiw16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw4i16o4i
```
public static final int dnnl_gOIw4i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw2i8o4i
```
public static final int dnnl_gOIw2i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw16i16o4i
```
public static final int dnnl_gOIw16i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw16i16o2i
```
public static final int dnnl_gOIw16i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw4i4o
```
public static final int dnnl_gOIw4i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw4o4i
```
public static final int dnnl_gOIw4o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOiw4o
```
public static final int dnnl_gOiw4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw8i16o2i
```
public static final int dnnl_gOIw8i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw8i8o
```
public static final int dnnl_gOIw8i8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw8o16i2o
```
public static final int dnnl_gOIw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOw8o16i2o
```
public static final int dnnl_gIOw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw8o8i
```
public static final int dnnl_gOIw8o8i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw8o4i
```
public static final int dnnl_gOIw8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOwi16o
```
public static final int dnnl_gOwi16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOwI16o2i
```
public static final int dnnl_gOwI16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOwI16o4i
```
public static final int dnnl_gOwI16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOwi4o
```
public static final int dnnl_gOwi4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOwi8o
```
public static final int dnnl_gOwi8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goiw32g
```
public static final int dnnl_Goiw32g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw2i4o2i
```
public static final int dnnl_gOIw2i4o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw2o4i2o
```
public static final int dnnl_gOIw2o4i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw4i8o2i
```
public static final int dnnl_gOIw4i8o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw4o8i2o
```
public static final int dnnl_gOIw4o8i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOhw16i16o
```
public static final int dnnl_gIOhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOhw16o16i
```
public static final int dnnl_gIOhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOhwi16o
```
public static final int dnnl_gOhwi16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOhwI16o2i
```
public static final int dnnl_gOhwI16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOhwI16o4i
```
public static final int dnnl_gOhwI16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOhwi32o
```
public static final int dnnl_gOhwi32o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOhwi4o
```
public static final int dnnl_gOhwi4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOhwi8o
```
public static final int dnnl_gOhwi8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goihw16g
```
public static final int dnnl_Goihw16g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw16i16o
```
public static final int dnnl_gOIhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw16o16i
```
public static final int dnnl_gOIhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOihw16o
```
public static final int dnnl_gOihw16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw2i8o4i
```
public static final int dnnl_gOIhw2i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw4i16o4i
```
public static final int dnnl_gOIhw4i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw16i16o4i
```
public static final int dnnl_gOIhw16i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw16i16o2i
```
public static final int dnnl_gOIhw16i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw4i4o
```
public static final int dnnl_gOIhw4i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw4o4i
```
public static final int dnnl_gOIhw4o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOihw4o
```
public static final int dnnl_gOihw4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goihw8g
```
public static final int dnnl_Goihw8g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw8i16o2i
```
public static final int dnnl_gOIhw8i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw8i8o
```
public static final int dnnl_gOIhw8i8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw8o16i2o
```
public static final int dnnl_gOIhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOhw8o16i2o
```
public static final int dnnl_gIOhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw8o8i
```
public static final int dnnl_gOIhw8o8i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw8o4i
```
public static final int dnnl_gOIhw8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goihw32g
```
public static final int dnnl_Goihw32g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIw4o8i8o4i
```
public static final int dnnl_OIw4o8i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw4o8i8o4i
```
public static final int dnnl_OIhw4o8i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOw4i8o8i4o
```
public static final int dnnl_IOw4i8o8i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOhw4i8o8i4o
```
public static final int dnnl_IOhw4i8o8i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_IOdhw4i8o8i4o
```
public static final int dnnl_IOdhw4i8o8i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_OIhw2o8i8o2i
```
public static final int dnnl_OIhw2o8i8o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIw4o8i8o4i
```
public static final int dnnl_gOIw4o8i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw4o8i8o4i
```
public static final int dnnl_gOIhw4o8i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw4o8i8o4i
```
public static final int dnnl_gOIdhw4o8i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOw4i8o8i4o
```
public static final int dnnl_gIOw4i8o8i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOhw4i8o8i4o
```
public static final int dnnl_gIOhw4i8o8i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOdhw4i8o8i4o
```
public static final int dnnl_gIOdhw4i8o8i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw2o8i8o2i
```
public static final int dnnl_gOIhw2o8i8o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw2i4o2i
```
public static final int dnnl_gOIhw2i4o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw2o4i2o
```
public static final int dnnl_gOIhw2o4i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw4i8o2i
```
public static final int dnnl_gOIhw4i8o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIhw4o8i2o
```
public static final int dnnl_gOIhw4o8i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOdhw16i16o
```
public static final int dnnl_gIOdhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOdhw16o16i
```
public static final int dnnl_gIOdhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOdhwi16o
```
public static final int dnnl_gOdhwi16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOdhwI16o2i
```
public static final int dnnl_gOdhwI16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOdhwi4o
```
public static final int dnnl_gOdhwi4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOdhwi8o
```
public static final int dnnl_gOdhwi8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw16i16o
```
public static final int dnnl_gOIdhw16i16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw4i16o4i
```
public static final int dnnl_gOIdhw4i16o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw2i8o4i
```
public static final int dnnl_gOIdhw2i8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw16o16i
```
public static final int dnnl_gOIdhw16o16i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOidhw16o
```
public static final int dnnl_gOidhw16o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw4i4o
```
public static final int dnnl_gOIdhw4i4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw4o4i
```
public static final int dnnl_gOIdhw4o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOidhw4o
```
public static final int dnnl_gOidhw4o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw8i16o2i
```
public static final int dnnl_gOIdhw8i16o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw8i8o
```
public static final int dnnl_gOIdhw8i8o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw8o16i2o
```
public static final int dnnl_gOIdhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gIOdhw8o16i2o
```
public static final int dnnl_gIOdhw8o16i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw8o8i
```
public static final int dnnl_gOIdhw8o8i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw8o4i
```
public static final int dnnl_gOIdhw8o4i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goidhw16g
```
public static final int dnnl_Goidhw16g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_Goidhw32g
```
public static final int dnnl_Goidhw32g
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw2i4o2i
```
public static final int dnnl_gOIdhw2i4o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw4i8o2i
```
public static final int dnnl_gOIdhw4i8o2i
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw2o4i2o
```
public static final int dnnl_gOIdhw2o4i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_gOIdhw4o8i2o
```
public static final int dnnl_gOIdhw4o8i2o
```
  enum dnnl_format_tag_t
  
  See Also:
  
  Constant Field Values
- dnnl_prop_kind_undef
```
public static final int dnnl_prop_kind_undef
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_forward_training
```
public static final int dnnl_forward_training
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_forward_inference
```
public static final int dnnl_forward_inference
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_forward_scoring
```
public static final int dnnl_forward_scoring
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_forward
```
public static final int dnnl_forward
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_backward
```
public static final int dnnl_backward
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_backward_data
```
public static final int dnnl_backward_data
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_backward_weights
```
public static final int dnnl_backward_weights
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_backward_bias
```
public static final int dnnl_backward_bias
```
  enum dnnl_prop_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_undefined_primitive
```
public static final int dnnl_undefined_primitive
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_reorder
```
public static final int dnnl_reorder
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_shuffle
```
public static final int dnnl_shuffle
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_concat
```
public static final int dnnl_concat
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_sum
```
public static final int dnnl_sum
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_convolution
```
public static final int dnnl_convolution
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_deconvolution
```
public static final int dnnl_deconvolution
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise
```
public static final int dnnl_eltwise
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_softmax
```
public static final int dnnl_softmax
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_pooling
```
public static final int dnnl_pooling
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_lrn
```
public static final int dnnl_lrn
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_batch_normalization
```
public static final int dnnl_batch_normalization
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_layer_normalization
```
public static final int dnnl_layer_normalization
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_inner_product
```
public static final int dnnl_inner_product
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_rnn
```
public static final int dnnl_rnn
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_gemm
```
public static final int dnnl_gemm
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_binary
```
public static final int dnnl_binary
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_logsoftmax
```
public static final int dnnl_logsoftmax
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_matmul
```
public static final int dnnl_matmul
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_resampling
```
public static final int dnnl_resampling
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_primitive_kind_max
```
public static final int dnnl_primitive_kind_max
```
  enum dnnl_primitive_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_alg_kind_undef
```
public static final int dnnl_alg_kind_undef
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_convolution_direct
```
public static final int dnnl_convolution_direct
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_convolution_winograd
```
public static final int dnnl_convolution_winograd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_convolution_auto
```
public static final int dnnl_convolution_auto
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_deconvolution_direct
```
public static final int dnnl_deconvolution_direct
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_deconvolution_winograd
```
public static final int dnnl_deconvolution_winograd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_relu
```
public static final int dnnl_eltwise_relu
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_tanh
```
public static final int dnnl_eltwise_tanh
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_elu
```
public static final int dnnl_eltwise_elu
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_square
```
public static final int dnnl_eltwise_square
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_abs
```
public static final int dnnl_eltwise_abs
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_sqrt
```
public static final int dnnl_eltwise_sqrt
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_linear
```
public static final int dnnl_eltwise_linear
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_bounded_relu
```
public static final int dnnl_eltwise_bounded_relu
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_soft_relu
```
public static final int dnnl_eltwise_soft_relu
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_logistic
```
public static final int dnnl_eltwise_logistic
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_exp
```
public static final int dnnl_eltwise_exp
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_gelu_tanh
```
public static final int dnnl_eltwise_gelu_tanh
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_gelu
```
public static final int dnnl_eltwise_gelu
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_swish
```
public static final int dnnl_eltwise_swish
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_log
```
public static final int dnnl_eltwise_log
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_clip
```
public static final int dnnl_eltwise_clip
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_pow
```
public static final int dnnl_eltwise_pow
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_gelu_erf
```
public static final int dnnl_eltwise_gelu_erf
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_round
```
public static final int dnnl_eltwise_round
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_relu_use_dst_for_bwd
```
public static final int dnnl_eltwise_relu_use_dst_for_bwd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_tanh_use_dst_for_bwd
```
public static final int dnnl_eltwise_tanh_use_dst_for_bwd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_elu_use_dst_for_bwd
```
public static final int dnnl_eltwise_elu_use_dst_for_bwd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_sqrt_use_dst_for_bwd
```
public static final int dnnl_eltwise_sqrt_use_dst_for_bwd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_logistic_use_dst_for_bwd
```
public static final int dnnl_eltwise_logistic_use_dst_for_bwd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_eltwise_exp_use_dst_for_bwd
```
public static final int dnnl_eltwise_exp_use_dst_for_bwd
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_pooling_max
```
public static final int dnnl_pooling_max
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_pooling_avg_include_padding
```
public static final int dnnl_pooling_avg_include_padding
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_pooling_avg_exclude_padding
```
public static final int dnnl_pooling_avg_exclude_padding
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_pooling_avg
```
public static final int dnnl_pooling_avg
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_lrn_across_channels
```
public static final int dnnl_lrn_across_channels
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_lrn_within_channel
```
public static final int dnnl_lrn_within_channel
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_vanilla_rnn
```
public static final int dnnl_vanilla_rnn
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_vanilla_lstm
```
public static final int dnnl_vanilla_lstm
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_vanilla_gru
```
public static final int dnnl_vanilla_gru
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_lbr_gru
```
public static final int dnnl_lbr_gru
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_binary_add
```
public static final int dnnl_binary_add
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_binary_mul
```
public static final int dnnl_binary_mul
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_binary_max
```
public static final int dnnl_binary_max
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_binary_min
```
public static final int dnnl_binary_min
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_resampling_nearest
```
public static final int dnnl_resampling_nearest
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_resampling_linear
```
public static final int dnnl_resampling_linear
```
  enum dnnl_alg_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_normalization_flags_none
```
public static final int dnnl_normalization_flags_none
```
  enum dnnl_normalization_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_use_global_stats
```
public static final int dnnl_use_global_stats
```
  enum dnnl_normalization_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_use_scaleshift
```
public static final int dnnl_use_scaleshift
```
  enum dnnl_normalization_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_fuse_norm_relu
```
public static final int dnnl_fuse_norm_relu
```
  enum dnnl_normalization_flags_t
  
  See Also:
  
  Constant Field Values
- DNNL_MAX_NDIMS
```
public static final int DNNL_MAX_NDIMS
```
  \} dnnl_api_primitives_common \} dnnl_api_primitives
  \addtogroup dnnl_api_memory \{
  Maximum number of dimensions a tensor can have. Only restricts the amount of space used for the tensor description. Individual computational primitives may support only tensors of certain dimensions.
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_DIM_VAL
```
public static final long DNNL_RUNTIME_DIM_VAL
```
- DNNL_RUNTIME_SIZE_VAL
```
public static final long DNNL_RUNTIME_SIZE_VAL
```
- DNNL_RUNTIME_F32_VAL
```
public static final double DNNL_RUNTIME_F32_VAL
```
- DNNL_RUNTIME_S32_VAL_REP
```
public static final int DNNL_RUNTIME_S32_VAL_REP
```
- DNNL_RUNTIME_S32_VAL
```
public static final int DNNL_RUNTIME_S32_VAL
```
  \endcond
  A wildcard value for int32_t values that are unknown at a primitive creation time.
- dnnl_wino_undef
```
public static final int dnnl_wino_undef
```
  enum dnnl_wino_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_wino_wei_aaOIoi
```
public static final int dnnl_wino_wei_aaOIoi
```
  enum dnnl_wino_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_wino_wei_aaOio
```
public static final int dnnl_wino_wei_aaOio
```
  enum dnnl_wino_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_wino_wei_aaOBiOo
```
public static final int dnnl_wino_wei_aaOBiOo
```
  enum dnnl_wino_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_wino_wei_OBaaIBOIio
```
public static final int dnnl_wino_wei_OBaaIBOIio
```
  enum dnnl_wino_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_packed_format_undef
```
public static final int dnnl_packed_format_undef
```
  enum dnnl_rnn_packed_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldigo_p
```
public static final int dnnl_ldigo_p
```
  enum dnnl_rnn_packed_memory_format_t
  
  See Also:
  
  Constant Field Values
- dnnl_ldgoi_p
```
public static final int dnnl_ldgoi_p
```
  enum dnnl_rnn_packed_memory_format_t
  
  See Also:
  
  Constant Field Values
- DNNL_RNN_MAX_N_PARTS
```
public static final int DNNL_RNN_MAX_N_PARTS
```
  Maximum number of parts of RNN weights tensor that require separate computation.
  
  See Also:
  
  Constant Field Values
- dnnl_memory_extra_flag_none
```
public static final int dnnl_memory_extra_flag_none
```
  enum dnnl_memory_extra_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_memory_extra_flag_compensation_conv_s8s8
```
public static final int dnnl_memory_extra_flag_compensation_conv_s8s8
```
  enum dnnl_memory_extra_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_memory_extra_flag_scale_adjust
```
public static final int dnnl_memory_extra_flag_scale_adjust
```
  enum dnnl_memory_extra_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_memory_extra_flag_gpu_rnn_u8s8_compensation
```
public static final int dnnl_memory_extra_flag_gpu_rnn_u8s8_compensation
```
  enum dnnl_memory_extra_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_rnn_flags_undef
```
public static final int dnnl_rnn_flags_undef
```
  enum dnnl_rnn_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_unidirectional_left2right
```
public static final int dnnl_unidirectional_left2right
```
  enum dnnl_rnn_direction_t
  
  See Also:
  
  Constant Field Values
- dnnl_unidirectional_right2left
```
public static final int dnnl_unidirectional_right2left
```
  enum dnnl_rnn_direction_t
  
  See Also:
  
  Constant Field Values
- dnnl_bidirectional_concat
```
public static final int dnnl_bidirectional_concat
```
  enum dnnl_rnn_direction_t
  
  See Also:
  
  Constant Field Values
- dnnl_bidirectional_sum
```
public static final int dnnl_bidirectional_sum
```
  enum dnnl_rnn_direction_t
  
  See Also:
  
  Constant Field Values
- dnnl_unidirectional
```
public static final int dnnl_unidirectional
```
  enum dnnl_rnn_direction_t
  
  See Also:
  
  Constant Field Values
- dnnl_any_engine
```
public static final int dnnl_any_engine
```
  enum dnnl_engine_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu
```
public static final int dnnl_cpu
```
  enum dnnl_engine_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_gpu
```
public static final int dnnl_gpu
```
  enum dnnl_engine_kind_t
  
  See Also:
  
  Constant Field Values
- dnnl_scratchpad_mode_library
```
public static final int dnnl_scratchpad_mode_library
```
  enum dnnl_scratchpad_mode_t
  
  See Also:
  
  Constant Field Values
- dnnl_scratchpad_mode_user
```
public static final int dnnl_scratchpad_mode_user
```
  enum dnnl_scratchpad_mode_t
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC_0
```
public static final int DNNL_ARG_SRC_0
```
  Source argument #0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC
```
public static final int DNNL_ARG_SRC
```
  A special mnemonic for source argument for primitives that have a single source. An alias for #DNNL_ARG_SRC_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC_LAYER
```
public static final int DNNL_ARG_SRC_LAYER
```
  A special mnemonic for RNN input vector. An alias for #DNNL_ARG_SRC_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_FROM
```
public static final int DNNL_ARG_FROM
```
  A special mnemonic for reorder source argument. An alias for #DNNL_ARG_SRC_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC_1
```
public static final int DNNL_ARG_SRC_1
```
  Source argument #1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC_ITER
```
public static final int DNNL_ARG_SRC_ITER
```
  A special mnemonic for RNN input recurrent hidden state vector. An alias for #DNNL_ARG_SRC_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC_2
```
public static final int DNNL_ARG_SRC_2
```
  Source argument #2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SRC_ITER_C
```
public static final int DNNL_ARG_SRC_ITER_C
```
  A special mnemonic for RNN input recurrent cell state vector. An alias for #DNNL_ARG_SRC_2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST_0
```
public static final int DNNL_ARG_DST_0
```
  Destination argument #0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST
```
public static final int DNNL_ARG_DST
```
  A special mnemonic for destination argument for primitives that have a single destination. An alias for #DNNL_ARG_DST_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_TO
```
public static final int DNNL_ARG_TO
```
  A special mnemonic for reorder destination argument. An alias for #DNNL_ARG_DST_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST_LAYER
```
public static final int DNNL_ARG_DST_LAYER
```
  A special mnemonic for RNN output vector. An alias for #DNNL_ARG_DST_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST_1
```
public static final int DNNL_ARG_DST_1
```
  Destination argument #1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST_ITER
```
public static final int DNNL_ARG_DST_ITER
```
  A special mnemonic for RNN input recurrent hidden state vector. An alias for #DNNL_ARG_DST_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST_2
```
public static final int DNNL_ARG_DST_2
```
  Destination argument #2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DST_ITER_C
```
public static final int DNNL_ARG_DST_ITER_C
```
  A special mnemonic for LSTM output recurrent cell state vector. An alias for #DNNL_ARG_DST_2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_0
```
public static final int DNNL_ARG_WEIGHTS_0
```
  Weights argument #0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS
```
public static final int DNNL_ARG_WEIGHTS
```
  A special mnemonic for primitives that have a single weights argument. Alias for #DNNL_ARG_WEIGHTS_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SCALE_SHIFT
```
public static final int DNNL_ARG_SCALE_SHIFT
```
  A special mnemonic for scale and shift argument of normalization primitives. Alias for #DNNL_ARG_WEIGHTS_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_LAYER
```
public static final int DNNL_ARG_WEIGHTS_LAYER
```
  A special mnemonic for RNN weights applied to the layer input. An alias for #DNNL_ARG_WEIGHTS_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_1
```
public static final int DNNL_ARG_WEIGHTS_1
```
  Weights argument #1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_ITER
```
public static final int DNNL_ARG_WEIGHTS_ITER
```
  A special mnemonic for RNN weights applied to the recurrent input. An alias for #DNNL_ARG_WEIGHTS_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_2
```
public static final int DNNL_ARG_WEIGHTS_2
```
  Weights argument #2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_PEEPHOLE
```
public static final int DNNL_ARG_WEIGHTS_PEEPHOLE
```
  A special mnemonic for RNN weights applied to the peephole weights. An alias for #DNNL_ARG_WEIGHTS_2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_3
```
public static final int DNNL_ARG_WEIGHTS_3
```
  Weights argument #3.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WEIGHTS_PROJECTION
```
public static final int DNNL_ARG_WEIGHTS_PROJECTION
```
  A special mnemonic for RNN weights applied to the projection weights. An alias for #DNNL_ARG_WEIGHTS_3.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_BIAS
```
public static final int DNNL_ARG_BIAS
```
  Bias tensor argument.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_MEAN
```
public static final int DNNL_ARG_MEAN
```
  Mean values tensor argument.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_VARIANCE
```
public static final int DNNL_ARG_VARIANCE
```
  Variance values tensor argument.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_WORKSPACE
```
public static final int DNNL_ARG_WORKSPACE
```
  Workspace tensor argument. Workspace is used to pass information from forward propagation to backward propagation computations.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_SCRATCHPAD
```
public static final int DNNL_ARG_SCRATCHPAD
```
  Scratchpad (temporary storage) tensor argument.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC_0
```
public static final int DNNL_ARG_DIFF_SRC_0
```
  Gradient (diff) of the source argument #0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC
```
public static final int DNNL_ARG_DIFF_SRC
```
  A special mnemonic for primitives that have a single diff source argument. An alias for #DNNL_ARG_DIFF_SRC_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC_LAYER
```
public static final int DNNL_ARG_DIFF_SRC_LAYER
```
  A special mnemonic for gradient (diff) of RNN input vector. An alias for #DNNL_ARG_DIFF_SRC_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC_1
```
public static final int DNNL_ARG_DIFF_SRC_1
```
  Gradient (diff) of the source argument #1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC_ITER
```
public static final int DNNL_ARG_DIFF_SRC_ITER
```
  A special mnemonic for gradient (diff) of RNN input recurrent hidden state vector. An alias for #DNNL_ARG_DIFF_SRC_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC_2
```
public static final int DNNL_ARG_DIFF_SRC_2
```
  Gradient (diff) of the source argument #2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SRC_ITER_C
```
public static final int DNNL_ARG_DIFF_SRC_ITER_C
```
  A special mnemonic for gradient (diff) of RNN input recurrent cell state vector. An alias for #DNNL_ARG_DIFF_SRC_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST_0
```
public static final int DNNL_ARG_DIFF_DST_0
```
  Gradient (diff) of the destination argument #0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST
```
public static final int DNNL_ARG_DIFF_DST
```
  A special mnemonic for primitives that have a single diff destination argument. An alias for #DNNL_ARG_DIFF_DST_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST_LAYER
```
public static final int DNNL_ARG_DIFF_DST_LAYER
```
  A special mnemonic for gradient (diff) of RNN output vector. An alias for #DNNL_ARG_DIFF_DST_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST_1
```
public static final int DNNL_ARG_DIFF_DST_1
```
  Gradient (diff) of the destination argument #1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST_ITER
```
public static final int DNNL_ARG_DIFF_DST_ITER
```
  A special mnemonic for gradient (diff) of RNN input recurrent hidden state vector. An alias for #DNNL_ARG_DIFF_DST_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST_2
```
public static final int DNNL_ARG_DIFF_DST_2
```
  Gradient (diff) of the destination argument #2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_DST_ITER_C
```
public static final int DNNL_ARG_DIFF_DST_ITER_C
```
  A special mnemonic for gradient (diff) of RNN input recurrent cell state vector. An alias for #DNNL_ARG_DIFF_DST_2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_0
```
public static final int DNNL_ARG_DIFF_WEIGHTS_0
```
  Gradient (diff) of the weights argument #0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS
```
public static final int DNNL_ARG_DIFF_WEIGHTS
```
  A special mnemonic for primitives that have a single diff weights argument. Alias for #DNNL_ARG_DIFF_WEIGHTS_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_SCALE_SHIFT
```
public static final int DNNL_ARG_DIFF_SCALE_SHIFT
```
  A special mnemonic for diff of scale and shift argument of normalization primitives. Alias for #DNNL_ARG_DIFF_WEIGHTS_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_LAYER
```
public static final int DNNL_ARG_DIFF_WEIGHTS_LAYER
```
  A special mnemonic for diff of RNN weights applied to the layer input. An alias for #DNNL_ARG_DIFF_WEIGHTS_0.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_1
```
public static final int DNNL_ARG_DIFF_WEIGHTS_1
```
  Gradient (diff) of the weights argument #1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_ITER
```
public static final int DNNL_ARG_DIFF_WEIGHTS_ITER
```
  A special mnemonic for diff of RNN weights applied to the recurrent input. An alias for #DNNL_ARG_DIFF_WEIGHTS_1.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_2
```
public static final int DNNL_ARG_DIFF_WEIGHTS_2
```
  Gradient (diff) of the weights argument #2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_PEEPHOLE
```
public static final int DNNL_ARG_DIFF_WEIGHTS_PEEPHOLE
```
  A special mnemonic for diff of RNN weights applied to the peephole weights. An alias for #DNNL_ARG_DIFF_WEIGHTS_2.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_3
```
public static final int DNNL_ARG_DIFF_WEIGHTS_3
```
  Gradient (diff) of the weights argument #3.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_WEIGHTS_PROJECTION
```
public static final int DNNL_ARG_DIFF_WEIGHTS_PROJECTION
```
  A special mnemonic for diff of RNN weights applied to the projection weights. An alias for #DNNL_ARG_DIFF_WEIGHTS_3.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_DIFF_BIAS
```
public static final int DNNL_ARG_DIFF_BIAS
```
  Gradient (diff) of the bias tensor argument.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_ATTR_OUTPUT_SCALES
```
public static final int DNNL_ARG_ATTR_OUTPUT_SCALES
```
  Output scaling factors provided at execution time.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_MULTIPLE_SRC
```
public static final int DNNL_ARG_MULTIPLE_SRC
```
  Starting index for source arguments for primitives that take a variable number of source arguments.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_MULTIPLE_DST
```
public static final int DNNL_ARG_MULTIPLE_DST
```
  Starting index for destination arguments for primitives that produce a variable number of destination arguments.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_ATTR_ZERO_POINTS
```
public static final int DNNL_ARG_ATTR_ZERO_POINTS
```
  Zero points provided at execution time.
  
  See Also:
  
  Constant Field Values
- DNNL_ARG_ATTR_POST_OP_DW
```
public static final int DNNL_ARG_ATTR_POST_OP_DW
```
  Arguments for fused depthwise convolution. See \ref dev_guide_attributes_post_ops_depthwise_fusion
  
  See Also:
  
  Constant Field Values
- dnnl_query_undef
```
public static final int dnnl_query_undef
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_engine
```
public static final int dnnl_query_engine
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_primitive_kind
```
public static final int dnnl_query_primitive_kind
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_num_of_inputs_s32
```
public static final int dnnl_query_num_of_inputs_s32
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_num_of_outputs_s32
```
public static final int dnnl_query_num_of_outputs_s32
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_time_estimate_f64
```
public static final int dnnl_query_time_estimate_f64
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_memory_consumption_s64
```
public static final int dnnl_query_memory_consumption_s64
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_scratchpad_engine
```
public static final int dnnl_query_scratchpad_engine
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_impl_info_str
```
public static final int dnnl_query_impl_info_str
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_reorder_src_engine
```
public static final int dnnl_query_reorder_src_engine
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_reorder_dst_engine
```
public static final int dnnl_query_reorder_dst_engine
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_prop_kind
```
public static final int dnnl_query_prop_kind
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_some_d
```
public static final int dnnl_query_some_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_op_d
```
public static final int dnnl_query_op_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_convolution_d
```
public static final int dnnl_query_convolution_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_deconvolution_d
```
public static final int dnnl_query_deconvolution_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_shuffle_d
```
public static final int dnnl_query_shuffle_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_eltwise_d
```
public static final int dnnl_query_eltwise_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_softmax_d
```
public static final int dnnl_query_softmax_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_pooling_d
```
public static final int dnnl_query_pooling_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_lrn_d
```
public static final int dnnl_query_lrn_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_batch_normalization_d
```
public static final int dnnl_query_batch_normalization_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_layer_normalization_d
```
public static final int dnnl_query_layer_normalization_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_inner_product_d
```
public static final int dnnl_query_inner_product_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_rnn_d
```
public static final int dnnl_query_rnn_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_gemm_d
```
public static final int dnnl_query_gemm_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_binary_d
```
public static final int dnnl_query_binary_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_logsoftmax_d
```
public static final int dnnl_query_logsoftmax_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_matmul_d
```
public static final int dnnl_query_matmul_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_resampling_d
```
public static final int dnnl_query_resampling_d
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_some_md
```
public static final int dnnl_query_some_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_src_md
```
public static final int dnnl_query_src_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_diff_src_md
```
public static final int dnnl_query_diff_src_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_weights_md
```
public static final int dnnl_query_weights_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_diff_weights_md
```
public static final int dnnl_query_diff_weights_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_dst_md
```
public static final int dnnl_query_dst_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_diff_dst_md
```
public static final int dnnl_query_diff_dst_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_workspace_md
```
public static final int dnnl_query_workspace_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_scratchpad_md
```
public static final int dnnl_query_scratchpad_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_exec_arg_md
```
public static final int dnnl_query_exec_arg_md
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_query_max
```
public static final int dnnl_query_max
```
  enum dnnl_query_t
  
  See Also:
  
  Constant Field Values
- dnnl_stream_default_order
```
public static final int dnnl_stream_default_order
```
  enum dnnl_stream_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_stream_in_order
```
public static final int dnnl_stream_in_order
```
  enum dnnl_stream_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_stream_out_of_order
```
public static final int dnnl_stream_out_of_order
```
  enum dnnl_stream_flags_t
  
  See Also:
  
  Constant Field Values
- dnnl_stream_default_flags
```
public static final int dnnl_stream_default_flags
```
  enum dnnl_stream_flags_t
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_NONE
```
public static final long DNNL_RUNTIME_NONE
```
  \} dnnl_api_stream
  \addtogroup dnnl_api_service \{
  No runtime (disabled)
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_SEQ
```
public static final long DNNL_RUNTIME_SEQ
```
  Sequential runtime (CPU only)
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_OMP
```
public static final long DNNL_RUNTIME_OMP
```
  OpenMP runtime (CPU only)
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_TBB
```
public static final long DNNL_RUNTIME_TBB
```
  TBB runtime (CPU only)
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_THREADPOOL
```
public static final long DNNL_RUNTIME_THREADPOOL
```
  Threadpool runtime (CPU only)
  
  See Also:
  
  Constant Field Values
- DNNL_RUNTIME_OCL
```
public static final long DNNL_RUNTIME_OCL
```
  OpenCL runtime
  
  See Also:
  
  Constant Field Values
- DNNL_JIT_PROFILE_NONE
```
public static final long DNNL_JIT_PROFILE_NONE
```
  Disable profiling completely
  
  See Also:
  
  Constant Field Values
- DNNL_JIT_PROFILE_VTUNE
```
public static final long DNNL_JIT_PROFILE_VTUNE
```
  Enable VTune Amplifier integration
  
  See Also:
  
  Constant Field Values
- DNNL_JIT_PROFILE_LINUX_PERFMAP
```
public static final long DNNL_JIT_PROFILE_LINUX_PERFMAP
```
  Enable Linux perf integration via perfmap files
  
  See Also:
  
  Constant Field Values
- DNNL_JIT_PROFILE_LINUX_JITDUMP
```
public static final long DNNL_JIT_PROFILE_LINUX_JITDUMP
```
  Enable Linux perf integration via jitdump files
  
  See Also:
  
  Constant Field Values
- DNNL_JIT_PROFILE_LINUX_JITDUMP_USE_TSC
```
public static final long DNNL_JIT_PROFILE_LINUX_JITDUMP_USE_TSC
```
  Instruct Linux perf integration via jitdump files to use TSC. \ref DNNL_JIT_PROFILE_LINUX_JITDUMP must be set too for this to take effect.
  
  See Also:
  
  Constant Field Values
- DNNL_JIT_PROFILE_LINUX_PERF
```
public static final long DNNL_JIT_PROFILE_LINUX_PERF
```
  Enable Linux perf integration (both jitdump and perfmap)
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_all
```
public static final int dnnl_cpu_isa_all
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_sse41
```
public static final int dnnl_cpu_isa_sse41
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx
```
public static final int dnnl_cpu_isa_avx
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx2
```
public static final int dnnl_cpu_isa_avx2
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx512_mic
```
public static final int dnnl_cpu_isa_avx512_mic
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx512_mic_4ops
```
public static final int dnnl_cpu_isa_avx512_mic_4ops
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx512_core
```
public static final int dnnl_cpu_isa_avx512_core
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx512_core_vnni
```
public static final int dnnl_cpu_isa_avx512_core_vnni
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx512_core_bf16
```
public static final int dnnl_cpu_isa_avx512_core_bf16
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- dnnl_cpu_isa_avx512_core_amx
```
public static final int dnnl_cpu_isa_avx512_core_amx
```
  enum dnnl_cpu_isa_t
  
  See Also:
  
  Constant Field Values
- DNNL_CPU_THREADING_RUNTIME
```
public static final long DNNL_CPU_THREADING_RUNTIME
```
  \endcond
  
  See Also:
  
  Constant Field Values
- DNNL_CPU_RUNTIME
```
public static final long DNNL_CPU_RUNTIME
```
  See Also:
  
  Constant Field Values
- DNNL_GPU_RUNTIME
```
public static final long DNNL_GPU_RUNTIME
```
  See Also:
  
  Constant Field Values
- DNNL_VERSION_MAJOR
```
public static final int DNNL_VERSION_MAJOR
```
  Major version
  
  See Also:
  
  Constant Field Values
- DNNL_VERSION_MINOR
```
public static final int DNNL_VERSION_MINOR
```
  Minor version
  
  See Also:
  
  Constant Field Values
- DNNL_VERSION_PATCH
```
public static final int DNNL_VERSION_PATCH
```
  Patch version
  
  See Also:
  
  Constant Field Values
- DNNL_VERSION_HASH
```
public static final String DNNL_VERSION_HASH
```
- DNNL_ENABLE_EXCEPTIONS
```
public static final int DNNL_ENABLE_EXCEPTIONS
```
  \endcond
  
  See Also:
  
  Constant Field Values

Constructor Detail
- dnnl
```
public dnnl()
```

Method Detail

DNNL_RUNTIME_DIM_VAL
```
@MemberGetter
public static long DNNL_RUNTIME_DIM_VAL()
```
A wildcard value for dimensions that are unknown at a primitive creation time.

DNNL_RUNTIME_SIZE_VAL
```
@MemberGetter
public static long DNNL_RUNTIME_SIZE_VAL()
```
A size_t counterpart of the DNNL_RUNTIME_DIM_VAL. For instance, this value is returned by dnnl_memory_desc_get_size() if either of the dimensions or strides equal to #DNNL_RUNTIME_DIM_VAL.

DNNL_RUNTIME_F32_VAL
```
@MemberGetter
public static double DNNL_RUNTIME_F32_VAL()
```
\endcond
A wildcard value for floating point values that are unknown at a primitive creation time.

DNNL_RUNTIME_S32_VAL_REP

@MemberGetter
public static int DNNL_RUNTIME_S32_VAL_REP()

\cond DO_NOT_DOCUMENT_THIS

DNNL_VERSION_HASH

@MemberGetter
public static String DNNL_VERSION_HASH()

Git commit hash

dnnl_primitive_desc_iterator_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_iterator_create(@ByPtrPtr
                                                                                    dnnl_primitive_desc_iterator iterator,
                                                                                    const_dnnl_op_desc_t op_desc,
                                                                                    @Const
                                                                                    dnnl_primitive_attr attr,
                                                                                    dnnl_engine engine,
                                                                                    @Const
                                                                                    dnnl_primitive_desc hint_forward_primitive_desc)

\addtogroup dnnl_api \{

\addtogroup dnnl_api_primitives \{

\addtogroup dnnl_api_primitives_common \{

Creates a primitive descriptor iterator.

Parameters:: iterator - Output primitive descriptor iterator.; op_desc - Operation descriptor.; attr - Primitive attributes (can be NULL).; engine - Engine to use.; hint_forward_primitive_desc - For backward propagation: primitive descriptor for a respective forward propagation primitive. Pass NULL for forward propagation.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_iterator_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_iterator_create(@Cast(value="dnnl_primitive_desc_iterator_t*")
                                                                                    PointerPointer iterator,
                                                                                    const_dnnl_op_desc_t op_desc,
                                                                                    @Const
                                                                                    dnnl_primitive_attr attr,
                                                                                    dnnl_engine engine,
                                                                                    @Const
                                                                                    dnnl_primitive_desc hint_forward_primitive_desc)

dnnl_primitive_desc_iterator_next
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_iterator_next(dnnl_primitive_desc_iterator iterator)
```
Advances the primitive descriptor iterator to point to the next available implementation.

Parameters:

iterator - A primitive descriptor iterator to advance.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_iterator_fetch
```
public static dnnl_primitive_desc dnnl_primitive_desc_iterator_fetch(@Const
                                                                     dnnl_primitive_desc_iterator iterator)
```
Fetches the current primitive descriptor from a primitive descriptor iterator. \note The user is responsible for deleting the resulting primitive descriptor using dnnl_primitive_desc_destroy().

Parameters:

iterator - A primitive descriptor iterator.

Returns:

A primitive descriptor.

dnnl_primitive_desc_iterator_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_iterator_destroy(dnnl_primitive_desc_iterator iterator)
```
Destroys a primitive descriptor iterator.

Parameters:

iterator - Primitive descriptor iterator to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_create(@ByPtrPtr
                                                                           dnnl_primitive_desc primitive_desc,
                                                                           const_dnnl_op_desc_t op_desc,
                                                                           @Const
                                                                           dnnl_primitive_attr attr,
                                                                           dnnl_engine engine,
                                                                           @Const
                                                                           dnnl_primitive_desc hint_forward_primitive_desc)

Creates a primitive descriptor. This function is equivalent to a sequence of #dnnl_primitive_desc_iterator_create() and #dnnl_primitive_desc_iterator_fetch(). In other words, the library will pick the first suitable implementation.

Parameters:: primitive_desc - Output primitive descriptor.; op_desc - Operation descriptor.; attr - Primitive attributes (can be NULL).; engine - Engine to use.; hint_forward_primitive_desc - For backward propagation: primitive descriptor for a respective forward propagation primitive. Pass NULL for forward propagation.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_create(@Cast(value="dnnl_primitive_desc_t*")
                                                                           PointerPointer primitive_desc,
                                                                           const_dnnl_op_desc_t op_desc,
                                                                           @Const
                                                                           dnnl_primitive_attr attr,
                                                                           dnnl_engine engine,
                                                                           @Const
                                                                           dnnl_primitive_desc hint_forward_primitive_desc)

dnnl_primitive_desc_clone

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_clone(@ByPtrPtr
                                                                          dnnl_primitive_desc primitive_desc,
                                                                          @Const
                                                                          dnnl_primitive_desc existing_primitive_desc)

Clones a primitive descriptor. The resulting primitive descriptor must be destroyed separately.

Parameters:: primitive_desc - Output primitive descriptor.; existing_primitive_desc - Primitive descriptor to clone.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_clone

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_clone(@Cast(value="dnnl_primitive_desc_t*")
                                                                          PointerPointer primitive_desc,
                                                                          @Const
                                                                          dnnl_primitive_desc existing_primitive_desc)

dnnl_primitive_desc_get_attr

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_get_attr(@Const
                                                                             dnnl_primitive_desc primitive_desc,
                                                                             @Const @ByPtrPtr
                                                                             dnnl_primitive_attr attr)

Returns a constant reference to the attributes of a primitive descriptor. \warning It is an error to destroy the resulting \p attr. \warning The lifetime of an \p attr is the same as that of a \p primitive_desc, so it is an error to use the \p attr once the \p primitive_desc has been destroyed.

Parameters:: primitive_desc - Primitive descriptor.; attr - Output primitive attributes.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_get_attr

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_get_attr(@Const
                                                                             dnnl_primitive_desc primitive_desc,
                                                                             @Cast(value="const_dnnl_primitive_attr_t*")
                                                                             PointerPointer attr)

dnnl_primitive_desc_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_destroy(dnnl_primitive_desc primitive_desc)
```
Destroys a primitive descriptor.

Parameters:

primitive_desc - Primitive descriptor to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_desc_query
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_desc_query(@Const
                                                                          dnnl_primitive_desc primitive_desc,
                                                                          @Cast(value="dnnl_query_t")
                                                                          int what,
                                                                          int index,
                                                                          Pointer result)
```
Queries a primitive descriptor for various pieces of information. The most common use case is to query a primitive descriptor, created with source, weights, and destination memory descriptors with format tags set to #dnnl_format_tag_any, for the corresponding memory descriptors (in this case the \p what is set to #dnnl_query_src_md, #dnnl_query_weights_md, and #dnnl_query_dst_md respectively) so that it is possible to create memory objects and reorder primitives if necessary. Another typical use case is to query a primitive descriptor for workspace memory descriptor (with \p what set to #dnnl_query_workspace_md). If this query returns #dnnl_not_required status, then workspace memory is not required. \note When querying for a memory descriptor for a scratchpad, a workspace, or an optional parameter, the query will return a pointer to a zero memory descriptor if the parameter is not needed. A few other use cases: - query a primitive descriptor for the underlying operation descriptor (#dnnl_query_convolution_d, #dnnl_query_eltwise_d, #dnnl_query_rnn_d, etc.) - query a primitive descriptor for the implementation information string (#dnnl_query_impl_info_str) - query a primitive descriptor for the number of inputs and outputs (#dnnl_query_num_of_inputs_s32 and #dnnl_query_num_of_outputs_s32 respectively)

Parameters:

primitive_desc - Primitive descriptor.

what - Parameter to query.

index - Index of the parameter to query for.

result - Output result. The type depends on the query. For example, it must be a \c dnnl_memory_desc_t* if querying for a memory descriptor.

Returns:

#dnnl_success on success and a status describing the error otherwise.

See Also:

for more options

dnnl_primitive_desc_query_md

@Const
public static dnnl_memory_desc_t dnnl_primitive_desc_query_md(@Const
                                                                      dnnl_primitive_desc primitive_desc,
                                                                      @Cast(value="dnnl_query_t")
                                                                      int what,
                                                                      int index)

Queries primitive descriptor for a memory descriptor. \note This function is a convenience version of #dnnl_primitive_desc_query().

Parameters:: primitive_desc - Primitive descriptor.; what - Kind of memory descriptor parameter to query for.; index - Index of the parameter to query.
Returns:: A pointer to the requested memory descriptor.

dnnl_primitive_desc_query_s32

public static int dnnl_primitive_desc_query_s32(@Const
                                                dnnl_primitive_desc primitive_desc,
                                                @Cast(value="dnnl_query_t")
                                                int what,
                                                int index)

Queries primitive descriptor for a signed 32bit int. \note This function is a convenience version of #dnnl_primitive_desc_query().

Parameters:: primitive_desc - Primitive descriptor.; what - Kind of the value to query for.; index - Index of the parameter to query.
Returns:: The requested value.

dnnl_primitive_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_create(@ByPtrPtr
                                                                      dnnl_primitive primitive,
                                                                      @Const
                                                                      dnnl_primitive_desc primitive_desc)

Creates a primitive.

Parameters:: primitive - Output primitive.; primitive_desc - Primitive descriptor used to create the primitive.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_create(@Cast(value="dnnl_primitive_t*")
                                                                      PointerPointer primitive,
                                                                      @Const
                                                                      dnnl_primitive_desc primitive_desc)

dnnl_primitive_execute

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_execute(@Const
                                                                       dnnl_primitive primitive,
                                                                       dnnl_stream stream,
                                                                       int nargs,
                                                                       @Const
                                                                       dnnl_exec_arg_t args)

Executes a primitive.

Parameters:: primitive - Primitive to execute.; stream - Stream to use.; nargs - Number of arguments.; args - Array of arguments. Each argument is an pair. The index is one of the DNNL_ARG_* values such as DNNL_ARG_SRC. Unless runtime shapes are used (see #DNNL_RUNTIME_DIM_VAL), the memory object must have the same memory descriptor as that returned by #dnnl_primitive_desc_query_md(#dnnl_query_exec_arg_md, index).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_get_primitive_desc

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_get_primitive_desc(@Const
                                                                                  dnnl_primitive primitive,
                                                                                  @Const @ByPtrPtr
                                                                                  dnnl_primitive_desc primitive_desc)

Retrieves a constant reference to the primitive descriptor of a given primitive. \warning It is an error to destroy the returned object. It is owned by the primitive. The \c const qualifier of the returned object prevents such attempts.

Parameters:: primitive - Primitive to query for the primitive descriptor.; primitive_desc - Output primitive descriptor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_get_primitive_desc

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_get_primitive_desc(@Const
                                                                                  dnnl_primitive primitive,
                                                                                  @Cast(value="const_dnnl_primitive_desc_t*")
                                                                                  PointerPointer primitive_desc)

dnnl_primitive_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_destroy(dnnl_primitive primitive)
```
Destroys a primitive.

Parameters:

primitive - The primitive to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_create
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_create(@ByPtrPtr
                                                                           dnnl_primitive_attr attr)
```
\} dnnl_api_primitives_common
\addtogroup dnnl_api_attributes \{
Creates an empty (default) primitive attributes with all the parameters set to their default values. Empty attributes are implied whenever the respective argument is NULL.

Parameters:

attr - Output primitive attributes.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_create

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_create(@Cast(value="dnnl_primitive_attr_t*")
                                                                           PointerPointer attr)

dnnl_primitive_attr_clone

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_clone(@ByPtrPtr
                                                                          dnnl_primitive_attr attr,
                                                                          @Const
                                                                          dnnl_primitive_attr existing_attr)

Clones primitive attributes.

Parameters:: attr - Output primitive attributes.; existing_attr - Primitive attributes to clone.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_clone

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_clone(@Cast(value="dnnl_primitive_attr_t*")
                                                                          PointerPointer attr,
                                                                          @Const
                                                                          dnnl_primitive_attr existing_attr)

dnnl_primitive_attr_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_destroy(dnnl_primitive_attr attr)
```
Destroys primitive attributes.

Parameters:

attr - Primitive attributes to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_scratchpad_mode

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scratchpad_mode(@Const
                                                                                        dnnl_primitive_attr attr,
                                                                                        @Cast(value="dnnl_scratchpad_mode_t*")
                                                                                        IntPointer mode)

Returns the primitive attributes scratchpad mode.

Parameters:: attr - Primitive attributes.; mode - Output scratchpad mode.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_scratchpad_mode

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scratchpad_mode(@Const
                                                                                        dnnl_primitive_attr attr,
                                                                                        @Cast(value="dnnl_scratchpad_mode_t*")
                                                                                        IntBuffer mode)

dnnl_primitive_attr_get_scratchpad_mode

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scratchpad_mode(@Const
                                                                                        dnnl_primitive_attr attr,
                                                                                        @Cast(value="dnnl_scratchpad_mode_t*")
                                                                                        int[] mode)

dnnl_primitive_attr_set_scratchpad_mode

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_scratchpad_mode(dnnl_primitive_attr attr,
                                                                                        @Cast(value="dnnl_scratchpad_mode_t")
                                                                                        int mode)

Sets primitive attributes scratchpad mode.

Parameters:: attr - Primitive attributes.; mode - Scratchpad mode. The possible values are: #dnnl_scratchpad_mode_library (default) and #dnnl_scratchpad_mode_user.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_output_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_output_scales(@Const
                                                                                      dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t*")
                                                                                      LongPointer count,
                                                                                      IntPointer mask,
                                                                                      @Cast(value="const float**")
                                                                                      PointerPointer scales)

Returns primitive attributes output scaling factors correspondence mask and values. \warning The \p scales array is an internal part of the primitive attributes \p attr, so it is an error to modify or destroy the \p scales array. \warning The lifetime of \p scales array is the same as that of the primitive attributes \p attr to which it belongs, so it is an error to use \p scales after \p attr is destroyed.

Parameters:: attr - Primitive attributes.; count - Output length of the array of scaling factors \p scales.; mask - Output scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales vector. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common output scaling factor for the whole output tensor.; scales - Output pointer to a constant array of scaling factors.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_output_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_output_scales(@Const
                                                                                      dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t*")
                                                                                      LongPointer count,
                                                                                      IntPointer mask,
                                                                                      @Const @ByPtrPtr
                                                                                      FloatPointer scales)

dnnl_primitive_attr_get_output_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_output_scales(@Const
                                                                                      dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t*")
                                                                                      LongBuffer count,
                                                                                      IntBuffer mask,
                                                                                      @Const @ByPtrPtr
                                                                                      FloatBuffer scales)

dnnl_primitive_attr_get_output_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_output_scales(@Const
                                                                                      dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t*")
                                                                                      long[] count,
                                                                                      int[] mask,
                                                                                      @Const @ByPtrPtr
                                                                                      float[] scales)

dnnl_primitive_attr_set_output_scales
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_output_scales(dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t")
                                                                                      long count,
                                                                                      int mask,
                                                                                      @Const
                                                                                      FloatPointer scales)
```
Sets output scaling factors correspondence mask and values. \note The order of dimensions does not depend on how elements are laid out in memory. For example: - for a 2D CNN activations tensor the order is always (n, c) - for a 4D CNN activations tensor the order is always (n, c, h, w) - for a 5D CNN weights tensor the order is always (g, oc, ic, kh, kw) Example usage:
```
      int mb = 32, oc = 32, oh = 14, ow = 14; // convolution output params
      float scales[oc] = { ... }; // unique output scales per output channel
      int oc_dim = 1; // mb_dim = 0, channel_dim = 1, height_dim = 2, ...
 
      dnnl_convolution_desc_t conv_d; // create a convolution descriptor
 
      dnnl_primitive_attr_t attr;
      dnnl_primitive_attr_create(&attr); // create primitive attributes
      dnnl_primitive_attr_set_output_scales(attr, oc, 1 << oc_dim, scales);
 
      dnnl_primitive_desc_t conv_pd;
      dnnl_primitive_desc_create(&conv_pd, &conv_d, attr, engine, NULL);
  
```
Parameters:

attr - Primitive attributes.

count - Length of the array of scaling factors \p scales.

mask - Scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common output scaling factor for the whole output tensor.
scales - Array of output scaling factors. If the output scaling factors are known at the time of this call, this array must contain \p count values and the following equality must hold:
```
 \[count = \prod\limits_{d \in mask} output.dims[d].\]
```
Violations can only be detected when the attributes are used to create a primitive descriptor. If the output scaling factors are not known at the time of the call, this array must contain a single #DNNL_RUNTIME_F32_VAL value and the output scaling factors must be passed at execution time as an argument with index #DNNL_ARG_ATTR_OUTPUT_SCALES.
Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_set_output_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_output_scales(dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t")
                                                                                      long count,
                                                                                      int mask,
                                                                                      @Const
                                                                                      FloatBuffer scales)

dnnl_primitive_attr_set_output_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_output_scales(dnnl_primitive_attr attr,
                                                                                      @Cast(value="dnnl_dim_t")
                                                                                      long count,
                                                                                      int mask,
                                                                                      @Const
                                                                                      float[] scales)

dnnl_primitive_attr_get_scales
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t*")
                                                                               LongPointer count,
                                                                               IntPointer mask,
                                                                               @Cast(value="const float**")
                                                                               PointerPointer scales)
```
Returns primitive attributes scaling factors correspondence mask and values for a given memory argument. \warning The output \p scales array is an internal part of the primitive attributes \p attr, so it is an error to modify or destroy the \p scales array. \warning The lifetime of the \p scales array is the same as that of the primitive attributes \p attr to which it belongs, so it is an error to use \p scales after \p attr is destroyed.

Parameters:

attr - Primitive attributes.

arg - Parameter argument index as passed to the dnnl_primitive_execute() call.

count - Output length of the array of scaling factors \p scales.

mask - Output scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common scaling factor for the whole output tensor.

scales - Output pointer to a constant array of float scaling factors.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t*")
                                                                               LongPointer count,
                                                                               IntPointer mask,
                                                                               @Const @ByPtrPtr
                                                                               FloatPointer scales)

dnnl_primitive_attr_get_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t*")
                                                                               LongBuffer count,
                                                                               IntBuffer mask,
                                                                               @Const @ByPtrPtr
                                                                               FloatBuffer scales)

dnnl_primitive_attr_get_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t*")
                                                                               long[] count,
                                                                               int[] mask,
                                                                               @Const @ByPtrPtr
                                                                               float[] scales)

dnnl_primitive_attr_set_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               FloatPointer scales)

Sets primitive attributes scaling factors for primitive operations for a given memory argument.

Parameters:

attr - Primitive attributes.

arg - Parameter argument index as passed to the dnnl_primitive_execute() call.

count - Length of the array of scaling factors \p scales.

mask - Scaling factors correspondence mask that defines the correspondence between the tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated scaling factor is used for each index along that dimension. Set the mask to 0 to use a common scaling factor for the whole output tensor.

scales - Constant array of float scaling factors. This array must contain \p count scales and the following equality must hold:

 \[count = \prod\limits_{d \in mask} output.dims[d].\]

Returns:

#dnnl_success on success and a status describing the error otherwise.

See Also:

dnnl_primitive_attr_set_output_scales

dnnl_primitive_attr_set_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               FloatBuffer scales)

dnnl_primitive_attr_set_scales

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_scales(dnnl_primitive_attr attr,
                                                                               int arg,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               float[] scales)

dnnl_primitive_attr_get_zero_points

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_zero_points(@Const
                                                                                    dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t*")
                                                                                    LongPointer count,
                                                                                    IntPointer mask,
                                                                                    @Cast(value="const int32_t**")
                                                                                    PointerPointer zero_points)

Returns \p count, correspondence zero point \p mask, and a pointer to a constant int32_t array of \p zero_points for given \p attr and memory argument (index), previously set by dnnl_primitive_attr_set_zero_points. \warning The output \p zero_points array is an internal part of the primitive attributes \p attr, so it is an error to modify or destroy the \p zero_points array. \warning The lifetime of \p zero_points array is the same as that of the primitive attributes \p attr to which it belongs, so it is an error to use \p zero_points after \p attr is destroyed.

Parameters:: attr - Primitive attributes.; arg - Parameter argument index as passed to the dnnl_primitive_execute() call.; count - Output length of the array of zero points \p zero_points.; mask - Output zero points correspondence mask that defines the correspondence between the output tensor dimensions and the \p zero_points array. The set i-th bit indicates that a dedicated output zero point is used for each index along that dimension. The mask value of 0 implies a common zero point for the whole output tensor.; zero_points - Output pointer to a constant array of int32_t zero points.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_zero_points

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_zero_points(@Const
                                                                                    dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t*")
                                                                                    LongPointer count,
                                                                                    IntPointer mask,
                                                                                    @Const @ByPtrPtr
                                                                                    IntPointer zero_points)

dnnl_primitive_attr_get_zero_points

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_zero_points(@Const
                                                                                    dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t*")
                                                                                    LongBuffer count,
                                                                                    IntBuffer mask,
                                                                                    @Const @ByPtrPtr
                                                                                    IntBuffer zero_points)

dnnl_primitive_attr_get_zero_points

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_zero_points(@Const
                                                                                    dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t*")
                                                                                    long[] count,
                                                                                    int[] mask,
                                                                                    @Const @ByPtrPtr
                                                                                    int[] zero_points)

dnnl_primitive_attr_set_zero_points
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_zero_points(dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t")
                                                                                    long count,
                                                                                    int mask,
                                                                                    @Const
                                                                                    IntPointer zero_points)
```
Sets primitive attributes zero points for primitive operations for a given memory argument.
Parameters:

attr - Primitive attributes.

arg - Parameter argument index as passed to the dnnl_primitive_execute() call.

count - Length of the array of zero points \p zero_points.

mask - Zero point correspondence mask that defines the correspondence between the tensor dimensions and the \p zero_points array. The set i-th bit indicates that a dedicated zero point is used for each index along that dimension. Set the mask to 0 to use a common zero point for the whole output tensor.
zero_points - Constant array of int32_t zero points. If the zero points are known at the time of this call, this array must contain \p count zero points and the following equality must hold:
```
 \[count = \prod\limits_{d \in mask} output.dims[d].\]
```
If the zero points are not known at the time of the call, this array must contain a single #DNNL_RUNTIME_S32_VAL and the zero points must be passed at execution time as an argument with index #DNNL_ARG_ATTR_ZERO_POINTS.
Returns:

#dnnl_success on success and a status describing the error otherwise.

See Also:

dnnl_primitive_attr_set_output_scales

dnnl_primitive_attr_set_zero_points

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_zero_points(dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t")
                                                                                    long count,
                                                                                    int mask,
                                                                                    @Const
                                                                                    IntBuffer zero_points)

dnnl_primitive_attr_set_zero_points

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_zero_points(dnnl_primitive_attr attr,
                                                                                    int arg,
                                                                                    @Cast(value="dnnl_dim_t")
                                                                                    long count,
                                                                                    int mask,
                                                                                    @Const
                                                                                    int[] zero_points)

dnnl_primitive_attr_get_post_ops

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_post_ops(@Const
                                                                                 dnnl_primitive_attr attr,
                                                                                 @Const @ByPtrPtr
                                                                                 dnnl_post_ops post_ops)

Returns primitive attributes post-ops. \warning The output \p post_ops points to the internal \p attr field, so it is an error to modify or destroy them. The lifetime of \p post_ops is the same as that of the \p attr it belongs to, so it is an error to use \p post_ops after \p attr has been destroyed.

Parameters:: attr - Primitive attributes.; post_ops - Output post-ops.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_get_post_ops

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_get_post_ops(@Const
                                                                                 dnnl_primitive_attr attr,
                                                                                 @Cast(value="const_dnnl_post_ops_t*")
                                                                                 PointerPointer post_ops)

dnnl_primitive_attr_set_post_ops

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_post_ops(dnnl_primitive_attr attr,
                                                                                 @Const
                                                                                 dnnl_post_ops post_ops)

Sets primitive attributes post-ops. \note There is no way to check whether the post-ops would be supported by the target primitive. Any error will be reported by the dnnl_primitive_desc_create() function call.

Parameters:: attr - Primitive attributes.; post_ops - Post-ops to set.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_create

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_create(@ByPtrPtr
                                                                     dnnl_post_ops post_ops)

Creates empty post-ops sequence.

Parameters:: post_ops - Output post-ops.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_create

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_create(@Cast(value="dnnl_post_ops_t*")
                                                                     PointerPointer post_ops)

dnnl_post_ops_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_destroy(dnnl_post_ops post_ops)
```
Destroys post-ops.

Parameters:

post_ops - Post-ops to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_len

public static int dnnl_post_ops_len(@Const
                                    dnnl_post_ops post_ops)

Returns the length of post-ops.

Parameters:: post_ops - Post-ops.
Returns:: The number of post-ops entries.

dnnl_post_ops_get_kind

@Cast(value="dnnl_primitive_kind_t")
public static int dnnl_post_ops_get_kind(@Const
                                                                               dnnl_post_ops post_ops,
                                                                               int index)

Returns the kind of a post-op entry.

Parameters:: post_ops - Post-ops.; index - Post-op entry index.
Returns:: The kind of the post-op with the specified index.

dnnl_post_ops_append_sum
```
@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_sum(dnnl_post_ops post_ops,
                                                                         float scale)
```
Appends an accumulation (sum) to post-ops. Prior to accumulating the result, the previous value is multiplied by a scale. The kind of this post-op is #dnnl_sum. This feature may improve performance for cases like residual learning blocks, where the result of convolution is accumulated to the previously computed activations. The parameter \p scale may be used for the integer-based computations when the result and previous activations have different logical scaling factors. In the simplest case when the accumulation is the only post-op, the computations would be: dst[:] <- scale * dst[:] + op(...) // instead of dst[:] <- op(...) \note This post-op executes in-place and does not change the destination layout.

Parameters:

post_ops - Post-ops.

scale - Accumulation scaling factor.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_append_sum_v2
```
@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_sum_v2(dnnl_post_ops post_ops,
                                                                            float scale,
                                                                            @Cast(value="dnnl_data_type_t")
                                                                            int data_type)
```
Appends an accumulation v2 (sum) to post-ops. Prior to accumulating the result, the previous value is multiplied by a scale. The kind of this post-op is #dnnl_sum. This feature may improve performance for cases like residual learning blocks, where the result of convolution is accumulated to the previously computed activations. The parameter \p scale may be used for the integer-based computations when the result and previous activations have different logical scaling factors. In the simplest case when the accumulation is the only post-op, the computations would be: dst[:] <- scale * dst[:] + op(...) // instead of dst[:] <- op(...) If \p data_type is specified, original dst tensor will be reinterpreted as a tensor with provided data type. Since it is reinterpretation, data_type and dst data type should have same size. As a result, computations would be: dst[:] <- scale * as_data_type(dst[:]) + op(...) // instead of dst[:] <- op(...) \note This post-op executes in-place and does not change the destination layout.

Parameters:

post_ops - Post-ops.

scale - Accumulation scaling factor.

data_type - Accumulation data_type.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_get_params_sum

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_sum(@Const
                                                                             dnnl_post_ops post_ops,
                                                                             int index,
                                                                             FloatPointer scale)

Returns the parameters of an accumulation (sum) post-op.

Parameters:: post_ops - Post-ops.; index - Index of the sum post-op.; scale - Output accumulation scaling factor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_get_params_sum

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_sum(@Const
                                                                             dnnl_post_ops post_ops,
                                                                             int index,
                                                                             FloatBuffer scale)

dnnl_post_ops_get_params_sum

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_sum(@Const
                                                                             dnnl_post_ops post_ops,
                                                                             int index,
                                                                             float[] scale)

dnnl_post_ops_get_params_sum_v2

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_sum_v2(@Const
                                                                                dnnl_post_ops post_ops,
                                                                                int index,
                                                                                FloatPointer scale,
                                                                                @Cast(value="dnnl_data_type_t*")
                                                                                IntPointer data_type)

Returns the parameters of an accumulation (sum) post-op with a data type parameter.

Parameters:: post_ops - Post-ops.; index - Index of the sum post-op.; scale - Output accumulation scaling factor.; data_type - Data type for accumulation.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_get_params_sum_v2

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_sum_v2(@Const
                                                                                dnnl_post_ops post_ops,
                                                                                int index,
                                                                                FloatBuffer scale,
                                                                                @Cast(value="dnnl_data_type_t*")
                                                                                IntBuffer data_type)

dnnl_post_ops_get_params_sum_v2

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_sum_v2(@Const
                                                                                dnnl_post_ops post_ops,
                                                                                int index,
                                                                                float[] scale,
                                                                                @Cast(value="dnnl_data_type_t*")
                                                                                int[] data_type)

dnnl_post_ops_append_eltwise

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_eltwise(dnnl_post_ops post_ops,
                                                                             float scale,
                                                                             @Cast(value="dnnl_alg_kind_t")
                                                                             int alg_kind,
                                                                             float alpha,
                                                                             float beta)

Appends an elementwise post-op. The kind of this post operation is #dnnl_eltwise. In the simplest case when the elementwise is the only post operation, the computations would be: dst[:] <- scale * eltwise_op (op(...)) // instead of dst[:] <- op(...) where eltwise_op is configured with the given parameters.

Parameters:: post_ops - Post-ops.; scale - Scaling factor.; alg_kind - Elementwise algorithm for the post-op.; alpha - Alpha parameter for the elementwise algorithm.; beta - Beta parameter for the elementwise algorithm.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_get_params_eltwise

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_eltwise(@Const
                                                                                 dnnl_post_ops post_ops,
                                                                                 int index,
                                                                                 FloatPointer scale,
                                                                                 @Cast(value="dnnl_alg_kind_t*")
                                                                                 IntPointer alg_kind,
                                                                                 FloatPointer alpha,
                                                                                 FloatPointer beta)

Returns the parameters of an elementwise post-up.

Parameters:: post_ops - Post-ops.; index - Index of the elementwise post-op.; scale - Output scaling factor.; alg_kind - Output elementwise algorithm kind.; alpha - Output alpha parameter for the elementwise algorithm.; beta - Output beta parameter for the elementwise algorithm.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_post_ops_get_params_eltwise

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_eltwise(@Const
                                                                                 dnnl_post_ops post_ops,
                                                                                 int index,
                                                                                 FloatBuffer scale,
                                                                                 @Cast(value="dnnl_alg_kind_t*")
                                                                                 IntBuffer alg_kind,
                                                                                 FloatBuffer alpha,
                                                                                 FloatBuffer beta)

dnnl_post_ops_get_params_eltwise

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_eltwise(@Const
                                                                                 dnnl_post_ops post_ops,
                                                                                 int index,
                                                                                 float[] scale,
                                                                                 @Cast(value="dnnl_alg_kind_t*")
                                                                                 int[] alg_kind,
                                                                                 float[] alpha,
                                                                                 float[] beta)

dnnl_post_ops_append_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_dw_k3s1p1(dnnl_post_ops post_ops,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int weights_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int bias_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int dst_data_type,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               FloatPointer scales)

Appends a depthwise post-op convolution with stride 1. This post-op can only be fused with a 2D 1x1 convolution (convolution with weights spatial dimension equal to 1 i.e., kh=kw=1). The kind of this post-op is #dnnl_convolution. The number of outputs for primitive remain same as before. The output size remain same as the original primitive due to stride=1. The Post-op can be defined as: dst[:] <- scales * (conv_dw(conv_1x1)) See \ref dev_guide_attributes_post_ops_depthwise and \ref dev_guide_attributes_post_ops_depthwise_fusion for more info.

Parameters:: post_ops - Post-ops.; weights_data_type - Weights data type of depthwise post-op; bias_data_type - Bias data type of depthwise post-op; dst_data_type - Output data type of depthwise post-op; count - Output length of the array of scaling factors \p scales.; mask - Output scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common scaling factor for the whole output tensor.; scales - Output pointer to a constant array of float scaling factors.
Returns:: #dnnl_success on success and a status describing the error otherwise

dnnl_post_ops_append_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_dw_k3s1p1(dnnl_post_ops post_ops,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int weights_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int bias_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int dst_data_type,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               FloatBuffer scales)

dnnl_post_ops_append_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_dw_k3s1p1(dnnl_post_ops post_ops,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int weights_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int bias_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int dst_data_type,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               float[] scales)

dnnl_post_ops_get_params_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s1p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   LongPointer count,
                                                                                   IntPointer mask,
                                                                                   @Cast(value="const float**")
                                                                                   PointerPointer scales)

Returns the parameters of an depthwise post-op with stride 1.

Parameters:: post_ops - Post-ops.; index - Index of the elementwise post-op.; weights_data_type - Weights data type of depthwise post-op; bias_data_type - Bias data type of depthwise post-op; dst_data_type - Output data type of depthwise post-op; count - Output length of the array of scaling factors \p scales.; mask - Output scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common scaling factor for the whole output tensor.; scales - Output pointer to a constant array of float scaling factors.
Returns:: #dnnl_success on success and a status describing the error otherwise

dnnl_post_ops_get_params_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s1p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   LongPointer count,
                                                                                   IntPointer mask,
                                                                                   @Const @ByPtrPtr
                                                                                   FloatPointer scales)

dnnl_post_ops_get_params_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s1p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntBuffer weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntBuffer bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntBuffer dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   LongBuffer count,
                                                                                   IntBuffer mask,
                                                                                   @Const @ByPtrPtr
                                                                                   FloatBuffer scales)

dnnl_post_ops_get_params_dw_k3s1p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s1p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   int[] weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   int[] bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   int[] dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   long[] count,
                                                                                   int[] mask,
                                                                                   @Const @ByPtrPtr
                                                                                   float[] scales)

dnnl_post_ops_append_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_dw_k3s2p1(dnnl_post_ops post_ops,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int weights_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int bias_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int dst_data_type,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               FloatPointer scales)

Appends a depthwise post-op convolution with stride 2. This post-op can only be fused with a 2D 1x1 convolution (convolution with weights spatial dimension equal to 1 i.e., kh=kw=1). The kind of this post-op is #dnnl_convolution. The number of outputs for primitive remain same as before. The output spatial size can be derived as below: output_height = ceil(output_height_1x1_convolution, stride) output_width = ceil(output_width_1x1_convolution, stride) The Post-op can be defined as: dst[:] <- scales * (conv_dw(conv_1x1)) See \ref dev_guide_attributes_post_ops_depthwise and \ref dev_guide_attributes_post_ops_depthwise_fusion for more info.

Parameters:: post_ops - Post-ops.; weights_data_type - Weights data type of depthwise post-op; bias_data_type - Bias data type of depthwise post-op; dst_data_type - Output data type of depthwise post-op; count - Output length of the array of scaling factors \p scales.; mask - Output scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common scaling factor for the whole output tensor.; scales - Output pointer to a constant array of float scaling factors.
Returns:: #dnnl_success on success and a status describing the error otherwise

dnnl_post_ops_append_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_dw_k3s2p1(dnnl_post_ops post_ops,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int weights_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int bias_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int dst_data_type,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               FloatBuffer scales)

dnnl_post_ops_append_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_append_dw_k3s2p1(dnnl_post_ops post_ops,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int weights_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int bias_data_type,
                                                                               @Cast(value="dnnl_data_type_t")
                                                                               int dst_data_type,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long count,
                                                                               int mask,
                                                                               @Const
                                                                               float[] scales)

dnnl_post_ops_get_params_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s2p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   LongPointer count,
                                                                                   IntPointer mask,
                                                                                   @Cast(value="const float**")
                                                                                   PointerPointer scales)

Returns the parameters of an depthwise post-op with stride 2.

Parameters:: post_ops - Post-ops.; index - Index of the elementwise post-op.; weights_data_type - Weights data type of depthwise post-op; bias_data_type - Bias data type of depthwise post-op; dst_data_type - Output data type of depthwise post-op; count - Output length of the array of scaling factors \p scales.; mask - Output scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales array. The set i-th bit indicates that a dedicated output scaling factor is used for each index along that dimension. The mask value of 0 implies a common scaling factor for the whole output tensor.; scales - Output pointer to a constant array of float scaling factors.
Returns:: #dnnl_success on success and a status describing the error otherwise

dnnl_post_ops_get_params_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s2p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntPointer dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   LongPointer count,
                                                                                   IntPointer mask,
                                                                                   @Const @ByPtrPtr
                                                                                   FloatPointer scales)

dnnl_post_ops_get_params_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s2p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntBuffer weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntBuffer bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   IntBuffer dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   LongBuffer count,
                                                                                   IntBuffer mask,
                                                                                   @Const @ByPtrPtr
                                                                                   FloatBuffer scales)

dnnl_post_ops_get_params_dw_k3s2p1

@Cast(value="dnnl_status_t")
public static int dnnl_post_ops_get_params_dw_k3s2p1(@Const
                                                                                   dnnl_post_ops post_ops,
                                                                                   int index,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   int[] weights_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   int[] bias_data_type,
                                                                                   @Cast(value="dnnl_data_type_t*")
                                                                                   int[] dst_data_type,
                                                                                   @Cast(value="dnnl_dim_t*")
                                                                                   long[] count,
                                                                                   int[] mask,
                                                                                   @Const @ByPtrPtr
                                                                                   float[] scales)

dnnl_memory_desc_init_by_strides

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_by_strides(dnnl_memory_desc_t memory_desc,
                                                                                 int ndims,
                                                                                 @Cast(value="const int64_t*")
                                                                                 LongPointer dims,
                                                                                 @Cast(value="dnnl_data_type_t")
                                                                                 int data_type,
                                                                                 @Cast(value="const int64_t*")
                                                                                 LongPointer strides)

\} dnnl_api_attributes

\} dnnl_api_primitives

\addtogroup dnnl_api_memory \{

Initializes a memory descriptor using dimensions and strides. \note As always, the logical order of dimensions corresponds to the abc... format tag, and the physical meaning of the dimensions depends on both the primitive that consumes the memory and the context of that consumption.

Parameters:: memory_desc - Output memory descriptor.; ndims - Number of dimensions; dims - Array of dimensions.; data_type - Elements data type.; strides - Strides in each dimension.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_memory_desc_init_by_strides

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_by_strides(dnnl_memory_desc_t memory_desc,
                                                                                 int ndims,
                                                                                 @Cast(value="const int64_t*")
                                                                                 LongBuffer dims,
                                                                                 @Cast(value="dnnl_data_type_t")
                                                                                 int data_type,
                                                                                 @Cast(value="const int64_t*")
                                                                                 LongBuffer strides)

dnnl_memory_desc_init_by_strides

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_by_strides(dnnl_memory_desc_t memory_desc,
                                                                                 int ndims,
                                                                                 @Cast(value="const int64_t*")
                                                                                 long[] dims,
                                                                                 @Cast(value="dnnl_data_type_t")
                                                                                 int data_type,
                                                                                 @Cast(value="const int64_t*")
                                                                                 long[] strides)

dnnl_memory_desc_init_by_tag

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_by_tag(dnnl_memory_desc_t memory_desc,
                                                                             int ndims,
                                                                             @Cast(value="const int64_t*")
                                                                             LongPointer dims,
                                                                             @Cast(value="dnnl_data_type_t")
                                                                             int data_type,
                                                                             @Cast(value="dnnl_format_tag_t")
                                                                             int tag)

Initializes a memory descriptor using dimensions and memory format tag. \note As always, the logical order of dimensions corresponds to the abc... format tag, and the physical meaning of the dimensions depends on both the primitive that consumes the memory and the context of that consumption.

Parameters:: memory_desc - Output memory descriptor.; ndims - Number of dimensions; dims - Array of dimensions.; data_type - Elements data type.; tag - Memory format tag. Can be #dnnl_format_tag_any which would allow a primitive to chose the final memory format. In this case the format_kind field of the memory descriptor would be set to #dnnl_format_kind_any.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_memory_desc_init_by_tag

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_by_tag(dnnl_memory_desc_t memory_desc,
                                                                             int ndims,
                                                                             @Cast(value="const int64_t*")
                                                                             LongBuffer dims,
                                                                             @Cast(value="dnnl_data_type_t")
                                                                             int data_type,
                                                                             @Cast(value="dnnl_format_tag_t")
                                                                             int tag)

dnnl_memory_desc_init_by_tag

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_by_tag(dnnl_memory_desc_t memory_desc,
                                                                             int ndims,
                                                                             @Cast(value="const int64_t*")
                                                                             long[] dims,
                                                                             @Cast(value="dnnl_data_type_t")
                                                                             int data_type,
                                                                             @Cast(value="dnnl_format_tag_t")
                                                                             int tag)

dnnl_memory_desc_init_submemory

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_submemory(dnnl_memory_desc_t memory_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t parent_memory_desc,
                                                                                @Cast(value="const int64_t*")
                                                                                LongPointer dims,
                                                                                @Cast(value="const int64_t*")
                                                                                LongPointer offsets)

Parameters:: memory_desc - Output memory descriptor. /** @param parent_memory_desc An existing memory descriptor. /** @param dims Sizes of the region. /** @param offsets Offsets to the region from the encompassing /** memory object in each dimension /** @return #dnnl_success on success and a status describing the error /** otherwise.

dnnl_memory_desc_init_submemory

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_submemory(dnnl_memory_desc_t memory_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t parent_memory_desc,
                                                                                @Cast(value="const int64_t*")
                                                                                LongBuffer dims,
                                                                                @Cast(value="const int64_t*")
                                                                                LongBuffer offsets)

dnnl_memory_desc_init_submemory

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_init_submemory(dnnl_memory_desc_t memory_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t parent_memory_desc,
                                                                                @Cast(value="const int64_t*")
                                                                                long[] dims,
                                                                                @Cast(value="const int64_t*")
                                                                                long[] offsets)

dnnl_memory_desc_reshape
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_reshape(dnnl_memory_desc_t out_memory_desc,
                                                                         @Const
                                                                         dnnl_memory_desc_t in_memory_desc,
                                                                         int ndims,
                                                                         @Cast(value="const int64_t*")
                                                                         LongPointer dims)
```
Initializes a memory descriptor by reshaping an existing one. The new memory descriptor inherits the data type. This operation is valid only for memory descriptors that have format_kind set to #dnnl_blocked or #dnnl_format_kind_any. The operation ensures the transformation of the physical memory format corresponds to the transformation of the logical dimensions. If such transformation is impossible, the function returns #dnnl_invalid_arguments. The reshape operation can be described as a combination of the following basic operations: 1. Add a dimension of size 1. This is always possible. 2. Remove a dimension of size 1. This is possible only if the dimension has no padding (i.e. padded_dims[dim] == dims[dim] && dims[dim] == 1). 3. Split a dimension into multiple ones. This is possible only if the size of the dimension is exactly equal to the product of the split ones and the dimension does not have padding (i.e. padded_dims[dim] = dims[dim]). 4. Joining multiple consecutive dimensions into a single one. As in the cases above, this requires that the dimensions do not have padding and that the memory format is such that in physical memory these dimensions are dense and have the same order as their logical counterparts. This also assumes that these dimensions are not blocked. - Here, dense means: stride for dim[i] == (stride for dim[i + 1]) * dim[i + 1]; - And same order means: i < j if and only if stride for dim[j] <= stride for dim[i]. \warning Some combinations of physical memory layout and/or offsets or dimensions may result in a failure to make a reshape.

Parameters:

out_memory_desc - Output memory descriptor.

in_memory_desc - An existing memory descriptor. Must have format_kind set to #dnnl_blocked or #dnnl_format_kind_any.

ndims - Number of dimensions for the output memory descriptor.

dims - Dimensions for the output memory descriptor.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_memory_desc_reshape

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_reshape(dnnl_memory_desc_t out_memory_desc,
                                                                         @Const
                                                                         dnnl_memory_desc_t in_memory_desc,
                                                                         int ndims,
                                                                         @Cast(value="const int64_t*")
                                                                         LongBuffer dims)

dnnl_memory_desc_reshape

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_reshape(dnnl_memory_desc_t out_memory_desc,
                                                                         @Const
                                                                         dnnl_memory_desc_t in_memory_desc,
                                                                         int ndims,
                                                                         @Cast(value="const int64_t*")
                                                                         long[] dims)

dnnl_memory_desc_permute_axes

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_permute_axes(dnnl_memory_desc_t out_memory_desc,
                                                                              @Const
                                                                              dnnl_memory_desc_t in_memory_desc,
                                                                              @Const
                                                                              IntPointer permutation)

Initializes a memory descriptor by permuting axes in an existing one. The physical memory layout representation is adjusted accordingly to maintain the consistency between the logical and physical parts of the memory descriptor. The new memory descriptor inherits the data type. This operation is valid only for memory descriptors that have format_kind set to #dnnl_blocked or #dnnl_format_kind_any. The logical axes will be permuted in the following manner:


  for (i: 0 .. in_memory_desc->ndims)
      out_memory_desc->dims[permutation[i]] = in_memory_desc->dims[i];

Example:


      dnnl_memory_desc_t in_md, out_md, expect_out_md;
 
      const int permutation[] = {1, 0}; // swap the first and the second axes
 
      dnnl_dims_t in_dims = {2, 3}, out_dims = {3, 2};
      dnnl_format_tag_t in_tag = dnnl_ab, out_tag = dnnl_ba;
 
      dnnl_memory_desc_init_by_tag(
              &in_md, 2, in_dims, data_type, in_tag);
      dnnl_memory_desc_init_by_tag(
              &expect_out_md, 2, out_dims, data_type, out_tag);
 
      dnnl_memory_desc_permute_axes(&out_md, in_md, permutation);
      assert(dnnl_memory_desc_equal(&out_md, &expect_out_md));

Parameters:: out_memory_desc - Output memory descriptor.; in_memory_desc - An existing memory descriptor. Must have format_kind set to #dnnl_blocked or #dnnl_format_kind_any.; permutation - Axes permutation (of size in_memory_desc->ndims).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_memory_desc_permute_axes

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_permute_axes(dnnl_memory_desc_t out_memory_desc,
                                                                              @Const
                                                                              dnnl_memory_desc_t in_memory_desc,
                                                                              @Const
                                                                              IntBuffer permutation)

dnnl_memory_desc_permute_axes

@Cast(value="dnnl_status_t")
public static int dnnl_memory_desc_permute_axes(dnnl_memory_desc_t out_memory_desc,
                                                                              @Const
                                                                              dnnl_memory_desc_t in_memory_desc,
                                                                              @Const
                                                                              int[] permutation)

dnnl_memory_desc_equal

public static int dnnl_memory_desc_equal(@Const
                                         dnnl_memory_desc_t lhs,
                                         @Const
                                         dnnl_memory_desc_t rhs)

Compares two memory descriptors. Use this function to identify whether a reorder is required between the two memories

Parameters:: lhs - Left-hand side of the comparison.; rhs - Right-hand side of the comparison.
Returns:: 1 if the descriptors are the same.

dnnl_memory_desc_get_size

@Cast(value="size_t")
public static long dnnl_memory_desc_get_size(@Const
                                                                    dnnl_memory_desc_t memory_desc)

Returns the size of a memory descriptor.

Parameters:: memory_desc - Memory descriptor.
Returns:: The number of bytes required for memory described by a memory descriptor.

dnnl_memory_create
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_create(@ByPtrPtr
                                                                   dnnl_memory memory,
                                                                   @Const
                                                                   dnnl_memory_desc_t memory_desc,
                                                                   dnnl_engine engine,
                                                                   Pointer handle)
```
Creates a memory object. Unless \p handle is equal to DNNL_MEMORY_NONE, the constructed memory object will have the underlying buffer set. In this case, the buffer will be initialized as if dnnl_memory_set_data_handle() had been called.

Parameters:

memory - Output memory object.

memory_desc - Memory descriptor.

engine - Engine to use.

handle - Handle of the memory buffer to use as an underlying storage. - A pointer to the user-allocated buffer. In this case the library doesn't own the buffer. - The DNNL_MEMORY_ALLOCATE special value. Instructs the library to allocate the buffer for the memory object. In this case the library owns the buffer. - DNNL_MEMORY_NONE to create dnnl_memory without an underlying buffer.

Returns:

#dnnl_success on success and a status describing the error otherwise.

See Also:

dnnl_memory_set_data_handle()

dnnl_memory_create

@Cast(value="dnnl_status_t")
public static int dnnl_memory_create(@Cast(value="dnnl_memory_t*")
                                                                   PointerPointer memory,
                                                                   @Const
                                                                   dnnl_memory_desc_t memory_desc,
                                                                   dnnl_engine engine,
                                                                   Pointer handle)

dnnl_memory_get_memory_desc

@Cast(value="dnnl_status_t")
public static int dnnl_memory_get_memory_desc(@Const
                                                                            dnnl_memory memory,
                                                                            @Cast(value="const dnnl_memory_desc_t**")
                                                                            PointerPointer memory_desc)

Returns the memory descriptor for a memory object.

Parameters:: memory - Memory object.; memory_desc - Output memory descriptor (a copy).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_memory_get_memory_desc

@Cast(value="dnnl_status_t")
public static int dnnl_memory_get_memory_desc(@Const
                                                                            dnnl_memory memory,
                                                                            @Const @ByPtrPtr
                                                                            dnnl_memory_desc_t memory_desc)

dnnl_memory_get_engine

@Cast(value="dnnl_status_t")
public static int dnnl_memory_get_engine(@Const
                                                                       dnnl_memory memory,
                                                                       @ByPtrPtr
                                                                       dnnl_engine engine)

Returns the engine of a memory object.

Parameters:: memory - Memory object.; engine - Output engine on which the memory is located.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_memory_get_engine

@Cast(value="dnnl_status_t")
public static int dnnl_memory_get_engine(@Const
                                                                       dnnl_memory memory,
                                                                       @Cast(value="dnnl_engine_t*")
                                                                       PointerPointer engine)

dnnl_memory_map_data
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_map_data(@Const
                                                                     dnnl_memory memory,
                                                                     @Cast(value="void**")
                                                                     PointerPointer mapped_ptr)
```
Maps a memory object and returns a host-side pointer to a memory buffer with a copy of its contents. Mapping enables explicit direct access to memory contents for the engines that do not support it implicitly. Mapping is an exclusive operation - a memory object cannot be used in other operations until this memory object is unmapped. \note Any primitives working with \p memory should be completed before the memory is mapped. Use dnnl_stream_wait to synchronize the corresponding execution stream. \note The dnnl_memory_map_data() and dnnl_memory_unmap_data() functions are mainly provided for debug and testing purposes, and their performance may be suboptimal.

Parameters:

memory - Memory object.

mapped_ptr - Output pointer to the mapped buffer.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_memory_map_data

@Cast(value="dnnl_status_t")
public static int dnnl_memory_map_data(@Const
                                                                     dnnl_memory memory,
                                                                     @Cast(value="void**") @ByPtrPtr
                                                                     Pointer mapped_ptr)

dnnl_memory_unmap_data
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_unmap_data(@Const
                                                                       dnnl_memory memory,
                                                                       Pointer mapped_ptr)
```
Unmaps a memory object and writes back any changes made to the previously mapped memory buffer. The pointer to the mapped buffer must be obtained via the dnnl_memory_map_data() call. \note The dnnl_memory_map_data() and dnnl_memory_unmap_data() functions are mainly provided for debug and testing purposes, and their performance may be suboptimal.

Parameters:

memory - Memory object.

mapped_ptr - Pointer to the mapped buffer that must have been obtained using the dnnl_memory_map_data() function.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_memory_get_data_handle

@Cast(value="dnnl_status_t")
public static int dnnl_memory_get_data_handle(@Const
                                                                            dnnl_memory memory,
                                                                            @Cast(value="void**")
                                                                            PointerPointer handle)

Returns memory object's data handle.

Parameters:: memory - Memory object.; handle - Output data handle. For the CPU engine, the data handle is a pointer to the actual data. For OpenCL it is a cl_mem.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_memory_get_data_handle

@Cast(value="dnnl_status_t")
public static int dnnl_memory_get_data_handle(@Const
                                                                            dnnl_memory memory,
                                                                            @Cast(value="void**") @ByPtrPtr
                                                                            Pointer handle)

dnnl_memory_set_data_handle
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_set_data_handle(dnnl_memory memory,
                                                                            Pointer handle)
```
Sets the underlying memory buffer. See the description of dnnl_memory_set_data_handle_v2() for more details.

Parameters:

memory - Memory object.

handle - Data handle. For the CPU engine, the data handle is a pointer to the actual data. For OpenCL it is a cl_mem.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_memory_set_data_handle_v2
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_set_data_handle_v2(dnnl_memory memory,
                                                                               Pointer handle,
                                                                               dnnl_stream stream)
```
Sets the underlying memory buffer. This function may write zero values to the memory specified by the \p handle if the memory object has a zero padding area. This may be time consuming and happens each time this function is called. The operation is always blocking and the stream parameter is a hint. \note The zero padding is required by memory objects created with blocked memory format tags like #dnnl_aBcd8b when any of the dimensions is not a multiple of the corresponding block size. For "plain" formats like #dnnl_nchw or #dnnl_nhwc zero padding area needs to be set up explicitly when creating the corresponding memory descriptors. See \ref dev_guide_understanding_memory_formats for more details. \note Even when the memory object is used to hold values that stay constant during the execution of the program (pre-packed weights during inference, for example), the function will still write zeroes to the padding area if it exists. Hence, the \p handle parameter cannot and does not have a const qualifier.

Parameters:

memory - Memory object.

handle - Data handle. For the CPU engine, the data handle is a pointer to the actual data. For OpenCL it is a cl_mem.

stream - Stream to use to execute padding in.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_memory_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_memory_destroy(dnnl_memory memory)
```
Destroys a memory object.

Parameters:

memory - Memory object to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_reorder_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_reorder_primitive_desc_create(@ByPtrPtr
                                                                                   dnnl_primitive_desc reorder_primitive_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_desc,
                                                                                   dnnl_engine src_engine,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_desc,
                                                                                   dnnl_engine dst_engine,
                                                                                   @Const
                                                                                   dnnl_primitive_attr attr)

\} dnnl_api_memory

\addtogroup dnnl_api_primitives \{

\addtogroup dnnl_api_reorder \{

Creates a primitive descriptor for a reorder primitive.

Parameters:: reorder_primitive_desc - Output primitive descriptor.; src_desc - Source memory descriptor.; src_engine - Engine on which the source memory object will be located.; dst_desc - Destination memory descriptor.; dst_engine - Engine on which the destination memory object will be located.; attr - Primitive attributes to use (can be NULL).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_reorder_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_reorder_primitive_desc_create(@Cast(value="dnnl_primitive_desc_t*")
                                                                                   PointerPointer reorder_primitive_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_desc,
                                                                                   dnnl_engine src_engine,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_desc,
                                                                                   dnnl_engine dst_engine,
                                                                                   @Const
                                                                                   dnnl_primitive_attr attr)

dnnl_concat_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_concat_primitive_desc_create(@ByPtrPtr
                                                                                  dnnl_primitive_desc concat_primitive_desc,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t dst_desc,
                                                                                  int n,
                                                                                  int concat_dimension,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t src_descs,
                                                                                  @Const
                                                                                  dnnl_primitive_attr attr,
                                                                                  dnnl_engine engine)

\} dnnl_api_reorder

\addtogroup dnnl_api_concat \{

Creates a primitive descriptor for an out-of-place concatenation primitive.

Parameters:: concat_primitive_desc - Output primitive descriptor.; dst_desc - Destination memory descriptor.; n - Number of source parameters.; concat_dimension - Source tensors will be concatenated over dimension with this index. Note that order of dimensions does not depend on memory format.; src_descs - Array of source memory descriptors with \p n elements.; attr - Primitive attributes to use (can be NULL).; engine - Engine to use.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_concat_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_concat_primitive_desc_create(@Cast(value="dnnl_primitive_desc_t*")
                                                                                  PointerPointer concat_primitive_desc,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t dst_desc,
                                                                                  int n,
                                                                                  int concat_dimension,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t src_descs,
                                                                                  @Const
                                                                                  dnnl_primitive_attr attr,
                                                                                  dnnl_engine engine)

dnnl_sum_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_sum_primitive_desc_create(@ByPtrPtr
                                                                               dnnl_primitive_desc sum_primitive_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               int n,
                                                                               @Const
                                                                               FloatPointer scales,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_descs,
                                                                               @Const
                                                                               dnnl_primitive_attr attr,
                                                                               dnnl_engine engine)

\} dnnl_api_concat

\addtogroup dnnl_api_sum \{

Creates a primitive descriptor for an (out-of-place) sum primitive.

Parameters:: sum_primitive_desc - Output primitive descriptor.; dst_desc - Destination memory descriptor.; n - Number of source parameters.; scales - Vector of scales to multiply data in each source memory by.; src_descs - Array of source memory descriptors having \p n elements.; attr - Primitive attributes to use (can be NULL).; engine - Engine to use.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_sum_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_sum_primitive_desc_create(@Cast(value="dnnl_primitive_desc_t*")
                                                                               PointerPointer sum_primitive_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               int n,
                                                                               @Const
                                                                               FloatBuffer scales,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_descs,
                                                                               @Const
                                                                               dnnl_primitive_attr attr,
                                                                               dnnl_engine engine)

dnnl_sum_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_sum_primitive_desc_create(@ByPtrPtr
                                                                               dnnl_primitive_desc sum_primitive_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               int n,
                                                                               @Const
                                                                               float[] scales,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_descs,
                                                                               @Const
                                                                               dnnl_primitive_attr attr,
                                                                               dnnl_engine engine)

dnnl_sum_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_sum_primitive_desc_create(@Cast(value="dnnl_primitive_desc_t*")
                                                                               PointerPointer sum_primitive_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               int n,
                                                                               @Const
                                                                               FloatPointer scales,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_descs,
                                                                               @Const
                                                                               dnnl_primitive_attr attr,
                                                                               dnnl_engine engine)

dnnl_sum_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_sum_primitive_desc_create(@ByPtrPtr
                                                                               dnnl_primitive_desc sum_primitive_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               int n,
                                                                               @Const
                                                                               FloatBuffer scales,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_descs,
                                                                               @Const
                                                                               dnnl_primitive_attr attr,
                                                                               dnnl_engine engine)

dnnl_sum_primitive_desc_create

@Cast(value="dnnl_status_t")
public static int dnnl_sum_primitive_desc_create(@Cast(value="dnnl_primitive_desc_t*")
                                                                               PointerPointer sum_primitive_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               int n,
                                                                               @Const
                                                                               float[] scales,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_descs,
                                                                               @Const
                                                                               dnnl_primitive_attr attr,
                                                                               dnnl_engine engine)

dnnl_binary_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_binary_desc_init(dnnl_binary_desc_t binary_desc,
                                                                      @Cast(value="dnnl_alg_kind_t")
                                                                      int alg_kind,
                                                                      @Const
                                                                      dnnl_memory_desc_t src0_desc,
                                                                      @Const
                                                                      dnnl_memory_desc_t src1_desc,
                                                                      @Const
                                                                      dnnl_memory_desc_t dst_desc)

\} dnnl_api_sum

\addtogroup dnnl_api_binary \{

Initializes a descriptor for a binary primitive. \note Memory descriptor \p dst_desc is allowed to be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. \note Both memory descriptors must have the same number of dimensions. Element broadcasting is supported for memory descriptor \p src1_desc and are applied to \ src1_desc dimensions that have size equal to 1.

Parameters:: binary_desc - Output descriptor for a binary primitive.; alg_kind - Algorithm kind. Valid values are #dnnl_binary_add, #dnnl_binary_mul, #dnnl_binary_max and #dnnl_binary_min.; src0_desc - Source 0 memory descriptor.; src1_desc - Source 1 memory descriptor.; dst_desc - Destination memory descriptor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_convolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                   @Cast(value="dnnl_prop_kind_t")
                                                                                   int prop_kind,
                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                   int alg_kind,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t weights_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t bias_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_desc,
                                                                                   @Cast(value="const int64_t*")
                                                                                   LongPointer strides,
                                                                                   @Cast(value="const int64_t*")
                                                                                   LongPointer padding_l,
                                                                                   @Cast(value="const int64_t*")
                                                                                   LongPointer padding_r)

\} dnnl_api_binary

\addtogroup dnnl_api_convolution \{

Initializes a descriptor for a convolution forward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: conv_desc - Output descriptor for a convolution primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - Convolution algorithm. Possible values are #dnnl_convolution_direct, #dnnl_convolution_winograd, #dnnl_convolution_auto.; src_desc - Source memory descriptor.; weights_desc - Weights memory descriptor.; bias_desc - Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; dst_desc - Destination memory descriptor.; strides - Array of strides for spatial dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is assumed to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_convolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                   @Cast(value="dnnl_prop_kind_t")
                                                                                   int prop_kind,
                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                   int alg_kind,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t weights_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t bias_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_desc,
                                                                                   @Cast(value="const int64_t*")
                                                                                   LongBuffer strides,
                                                                                   @Cast(value="const int64_t*")
                                                                                   LongBuffer padding_l,
                                                                                   @Cast(value="const int64_t*")
                                                                                   LongBuffer padding_r)

dnnl_convolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                   @Cast(value="dnnl_prop_kind_t")
                                                                                   int prop_kind,
                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                   int alg_kind,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t weights_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t bias_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_desc,
                                                                                   @Cast(value="const int64_t*")
                                                                                   long[] strides,
                                                                                   @Cast(value="const int64_t*")
                                                                                   long[] padding_l,
                                                                                   @Cast(value="const int64_t*")
                                                                                   long[] padding_r)

dnnl_dilated_convolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                                           int prop_kind,
                                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                                           int alg_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t bias_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t dst_desc,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer strides,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer dilates,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer padding_l,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer padding_r)

Initializes a descriptor for a dilated convolution forward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p dilates, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: conv_desc - Output descriptor for a convolution primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - Convolution algorithm. Possible values are #dnnl_convolution_direct, #dnnl_convolution_winograd, #dnnl_convolution_auto.; src_desc - Source memory descriptor.; weights_desc - Weights memory descriptor.; bias_desc - Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; dst_desc - Destination memory descriptor.; strides - Array of strides for spatial dimension.; dilates - Array of dilations for spatial dimension. A zero value means no dilation in the corresponding dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_dilated_convolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                                           int prop_kind,
                                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                                           int alg_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t bias_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t dst_desc,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer strides,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer dilates,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer padding_l,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer padding_r)

dnnl_dilated_convolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_forward_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                                           int prop_kind,
                                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                                           int alg_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t bias_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t dst_desc,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] strides,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] dilates,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] padding_l,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] padding_r)

dnnl_convolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                         @Cast(value="dnnl_alg_kind_t")
                                                                                         int alg_kind,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t diff_src_desc,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t weights_desc,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t diff_dst_desc,
                                                                                         @Cast(value="const int64_t*")
                                                                                         LongPointer strides,
                                                                                         @Cast(value="const int64_t*")
                                                                                         LongPointer padding_l,
                                                                                         @Cast(value="const int64_t*")
                                                                                         LongPointer padding_r)

Initializes a descriptor for a convolution backward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: conv_desc - Output descriptor for a convolution primitive.; alg_kind - Convolution algorithm. Possible values are #dnnl_convolution_direct, #dnnl_convolution_winograd, #dnnl_convolution_auto.; diff_src_desc - Diff source memory descriptor.; weights_desc - Weights memory descriptor.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is assumed to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_convolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                         @Cast(value="dnnl_alg_kind_t")
                                                                                         int alg_kind,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t diff_src_desc,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t weights_desc,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t diff_dst_desc,
                                                                                         @Cast(value="const int64_t*")
                                                                                         LongBuffer strides,
                                                                                         @Cast(value="const int64_t*")
                                                                                         LongBuffer padding_l,
                                                                                         @Cast(value="const int64_t*")
                                                                                         LongBuffer padding_r)

dnnl_convolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                         @Cast(value="dnnl_alg_kind_t")
                                                                                         int alg_kind,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t diff_src_desc,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t weights_desc,
                                                                                         @Const
                                                                                         dnnl_memory_desc_t diff_dst_desc,
                                                                                         @Cast(value="const int64_t*")
                                                                                         long[] strides,
                                                                                         @Cast(value="const int64_t*")
                                                                                         long[] padding_l,
                                                                                         @Cast(value="const int64_t*")
                                                                                         long[] padding_r)

dnnl_dilated_convolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                                 @Cast(value="dnnl_alg_kind_t")
                                                                                                 int alg_kind,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t diff_src_desc,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t weights_desc,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t diff_dst_desc,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongPointer strides,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongPointer dilates,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongPointer padding_l,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongPointer padding_r)

Initializes a descriptor for a dilated convolution backward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p dilates, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: conv_desc - Output descriptor for a convolution primitive.; alg_kind - Convolution algorithm. Possible values are #dnnl_convolution_direct, #dnnl_convolution_winograd, #dnnl_convolution_auto.; diff_src_desc - Diff source memory descriptor.; weights_desc - Weights memory descriptor.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; dilates - Array of dilations for spatial dimension. A zero value means no dilation in the corresponding dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_dilated_convolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                                 @Cast(value="dnnl_alg_kind_t")
                                                                                                 int alg_kind,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t diff_src_desc,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t weights_desc,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t diff_dst_desc,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongBuffer strides,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongBuffer dilates,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongBuffer padding_l,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 LongBuffer padding_r)

dnnl_dilated_convolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_backward_data_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                                 @Cast(value="dnnl_alg_kind_t")
                                                                                                 int alg_kind,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t diff_src_desc,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t weights_desc,
                                                                                                 @Const
                                                                                                 dnnl_memory_desc_t diff_dst_desc,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 long[] strides,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 long[] dilates,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 long[] padding_l,
                                                                                                 @Cast(value="const int64_t*")
                                                                                                 long[] padding_r)

dnnl_convolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                            @Cast(value="dnnl_alg_kind_t")
                                                                                            int alg_kind,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t src_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_weights_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_bias_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_dst_desc,
                                                                                            @Cast(value="const int64_t*")
                                                                                            LongPointer strides,
                                                                                            @Cast(value="const int64_t*")
                                                                                            LongPointer padding_l,
                                                                                            @Cast(value="const int64_t*")
                                                                                            LongPointer padding_r)

Initializes a descriptor for a convolution weights gradient primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: conv_desc - Output descriptor for a convolution primitive.; alg_kind - Convolution algorithm. Possible values are #dnnl_convolution_direct, #dnnl_convolution_winograd, #dnnl_convolution_auto.; src_desc - Source memory descriptor.; diff_weights_desc - Diff weights memory descriptor.; diff_bias_desc - Diff bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_convolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                            @Cast(value="dnnl_alg_kind_t")
                                                                                            int alg_kind,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t src_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_weights_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_bias_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_dst_desc,
                                                                                            @Cast(value="const int64_t*")
                                                                                            LongBuffer strides,
                                                                                            @Cast(value="const int64_t*")
                                                                                            LongBuffer padding_l,
                                                                                            @Cast(value="const int64_t*")
                                                                                            LongBuffer padding_r)

dnnl_convolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                            @Cast(value="dnnl_alg_kind_t")
                                                                                            int alg_kind,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t src_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_weights_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_bias_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_dst_desc,
                                                                                            @Cast(value="const int64_t*")
                                                                                            long[] strides,
                                                                                            @Cast(value="const int64_t*")
                                                                                            long[] padding_l,
                                                                                            @Cast(value="const int64_t*")
                                                                                            long[] padding_r)

dnnl_dilated_convolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                                    @Cast(value="dnnl_alg_kind_t")
                                                                                                    int alg_kind,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t src_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_weights_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_bias_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_dst_desc,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongPointer strides,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongPointer dilates,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongPointer padding_l,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongPointer padding_r)

Initializes a descriptor for a dilated convolution weights gradient primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p dilates, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: conv_desc - Output descriptor for a convolution primitive.; alg_kind - Convolution algorithm. Possible values are #dnnl_convolution_direct, #dnnl_convolution_winograd, #dnnl_convolution_auto.; src_desc - Source memory descriptor.; diff_weights_desc - Diff weights memory descriptor.; diff_bias_desc - Diff bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; dilates - Array of dilations for spatial dimension. A zero value means no dilation in the corresponding dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_dilated_convolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                                    @Cast(value="dnnl_alg_kind_t")
                                                                                                    int alg_kind,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t src_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_weights_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_bias_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_dst_desc,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongBuffer strides,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongBuffer dilates,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongBuffer padding_l,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    LongBuffer padding_r)

dnnl_dilated_convolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_convolution_backward_weights_desc_init(dnnl_convolution_desc_t conv_desc,
                                                                                                    @Cast(value="dnnl_alg_kind_t")
                                                                                                    int alg_kind,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t src_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_weights_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_bias_desc,
                                                                                                    @Const
                                                                                                    dnnl_memory_desc_t diff_dst_desc,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    long[] strides,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    long[] dilates,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    long[] padding_l,
                                                                                                    @Cast(value="const int64_t*")
                                                                                                    long[] padding_r)

dnnl_deconvolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_forward_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                     dnnl_convolution_desc_t deconv_desc,
                                                                                     @Cast(value="dnnl_prop_kind_t")
                                                                                     int prop_kind,
                                                                                     @Cast(value="dnnl_alg_kind_t")
                                                                                     int alg_kind,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t src_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t weights_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t bias_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t dst_desc,
                                                                                     @Cast(value="const int64_t*")
                                                                                     LongPointer strides,
                                                                                     @Cast(value="const int64_t*")
                                                                                     LongPointer padding_l,
                                                                                     @Cast(value="const int64_t*")
                                                                                     LongPointer padding_r)

\} dnnl_api_convolution

\addtogroup dnnl_api_deconvolution \{

Initializes a descriptor for a deconvolution forward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: deconv_desc - Output descriptor for a deconvolution primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - Deconvolution algorithm. Possible values are #dnnl_deconvolution_direct, #dnnl_deconvolution_winograd.; src_desc - Source memory descriptor.; weights_desc - Weights memory descriptor.; bias_desc - Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; dst_desc - Destination memory descriptor.; strides - Array of strides for spatial dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_deconvolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_forward_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                     dnnl_convolution_desc_t deconv_desc,
                                                                                     @Cast(value="dnnl_prop_kind_t")
                                                                                     int prop_kind,
                                                                                     @Cast(value="dnnl_alg_kind_t")
                                                                                     int alg_kind,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t src_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t weights_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t bias_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t dst_desc,
                                                                                     @Cast(value="const int64_t*")
                                                                                     LongBuffer strides,
                                                                                     @Cast(value="const int64_t*")
                                                                                     LongBuffer padding_l,
                                                                                     @Cast(value="const int64_t*")
                                                                                     LongBuffer padding_r)

dnnl_deconvolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_forward_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                     dnnl_convolution_desc_t deconv_desc,
                                                                                     @Cast(value="dnnl_prop_kind_t")
                                                                                     int prop_kind,
                                                                                     @Cast(value="dnnl_alg_kind_t")
                                                                                     int alg_kind,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t src_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t weights_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t bias_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t dst_desc,
                                                                                     @Cast(value="const int64_t*")
                                                                                     long[] strides,
                                                                                     @Cast(value="const int64_t*")
                                                                                     long[] padding_l,
                                                                                     @Cast(value="const int64_t*")
                                                                                     long[] padding_r)

dnnl_dilated_deconvolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_forward_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                             dnnl_convolution_desc_t deconv_desc,
                                                                                             @Cast(value="dnnl_prop_kind_t")
                                                                                             int prop_kind,
                                                                                             @Cast(value="dnnl_alg_kind_t")
                                                                                             int alg_kind,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t src_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t weights_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t bias_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t dst_desc,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongPointer strides,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongPointer dilates,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongPointer padding_l,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongPointer padding_r)

Initializes a descriptor for a dilated deconvolution forward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p dilates, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: deconv_desc - Output descriptor for a deconvolution primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - Deconvolution algorithm. Possible values are #dnnl_deconvolution_direct, #dnnl_deconvolution_winograd.; src_desc - Source memory descriptor.; weights_desc - Weights memory descriptor.; bias_desc - Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; dst_desc - Destination memory descriptor.; strides - Array of strides for spatial dimension.; dilates - Array of dilations for spatial dimension. A zero value means no dilation in the corresponding dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_dilated_deconvolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_forward_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                             dnnl_convolution_desc_t deconv_desc,
                                                                                             @Cast(value="dnnl_prop_kind_t")
                                                                                             int prop_kind,
                                                                                             @Cast(value="dnnl_alg_kind_t")
                                                                                             int alg_kind,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t src_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t weights_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t bias_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t dst_desc,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongBuffer strides,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongBuffer dilates,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongBuffer padding_l,
                                                                                             @Cast(value="const int64_t*")
                                                                                             LongBuffer padding_r)

dnnl_dilated_deconvolution_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_forward_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                             dnnl_convolution_desc_t deconv_desc,
                                                                                             @Cast(value="dnnl_prop_kind_t")
                                                                                             int prop_kind,
                                                                                             @Cast(value="dnnl_alg_kind_t")
                                                                                             int alg_kind,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t src_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t weights_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t bias_desc,
                                                                                             @Const
                                                                                             dnnl_memory_desc_t dst_desc,
                                                                                             @Cast(value="const int64_t*")
                                                                                             long[] strides,
                                                                                             @Cast(value="const int64_t*")
                                                                                             long[] dilates,
                                                                                             @Cast(value="const int64_t*")
                                                                                             long[] padding_l,
                                                                                             @Cast(value="const int64_t*")
                                                                                             long[] padding_r)

dnnl_deconvolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_backward_data_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                           dnnl_convolution_desc_t deconv_desc,
                                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                                           int alg_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_dst_desc,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer strides,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer padding_l,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongPointer padding_r)

Initializes a descriptor for a deconvolution backward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: deconv_desc - Output descriptor for a deconvolution primitive.; alg_kind - Deconvolution algorithm. Possible values are #dnnl_deconvolution_direct, #dnnl_deconvolution_winograd.; diff_src_desc - Diff source memory descriptor.; weights_desc - Weights memory descriptor.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_deconvolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_backward_data_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                           dnnl_convolution_desc_t deconv_desc,
                                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                                           int alg_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_dst_desc,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer strides,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer padding_l,
                                                                                           @Cast(value="const int64_t*")
                                                                                           LongBuffer padding_r)

dnnl_deconvolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_backward_data_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                           dnnl_convolution_desc_t deconv_desc,
                                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                                           int alg_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_dst_desc,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] strides,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] padding_l,
                                                                                           @Cast(value="const int64_t*")
                                                                                           long[] padding_r)

dnnl_dilated_deconvolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_backward_data_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                                   dnnl_convolution_desc_t deconv_desc,
                                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                                   int alg_kind,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t diff_src_desc,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t weights_desc,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t diff_dst_desc,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongPointer strides,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongPointer dilates,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongPointer padding_l,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongPointer padding_r)

Initializes a descriptor for a dilated deconvolution backward propagation primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p dilates, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: deconv_desc - Output descriptor for a deconvolution primitive.; alg_kind - Deconvolution algorithm. Possible values are #dnnl_deconvolution_direct, #dnnl_deconvolution_winograd.; diff_src_desc - Diff source memory descriptor.; weights_desc - Weights memory descriptor.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; dilates - Array of dilations for spatial dimension. A zero value means no dilation in the corresponding dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_dilated_deconvolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_backward_data_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                                   dnnl_convolution_desc_t deconv_desc,
                                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                                   int alg_kind,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t diff_src_desc,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t weights_desc,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t diff_dst_desc,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongBuffer strides,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongBuffer dilates,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongBuffer padding_l,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   LongBuffer padding_r)

dnnl_dilated_deconvolution_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_backward_data_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                                   dnnl_convolution_desc_t deconv_desc,
                                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                                   int alg_kind,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t diff_src_desc,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t weights_desc,
                                                                                                   @Const
                                                                                                   dnnl_memory_desc_t diff_dst_desc,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   long[] strides,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   long[] dilates,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   long[] padding_l,
                                                                                                   @Cast(value="const int64_t*")
                                                                                                   long[] padding_r)

dnnl_deconvolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_backward_weights_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                              dnnl_convolution_desc_t deconv_desc,
                                                                                              @Cast(value="dnnl_alg_kind_t")
                                                                                              int alg_kind,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t src_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_weights_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_bias_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_dst_desc,
                                                                                              @Cast(value="const int64_t*")
                                                                                              LongPointer strides,
                                                                                              @Cast(value="const int64_t*")
                                                                                              LongPointer padding_l,
                                                                                              @Cast(value="const int64_t*")
                                                                                              LongPointer padding_r)

Initializes a descriptor for a deconvolution weights gradient primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: deconv_desc - Output descriptor for a deconvolution primitive.; alg_kind - Deconvolution algorithm. Possible values are #dnnl_deconvolution_direct, #dnnl_deconvolution_winograd.; src_desc - Source memory descriptor.; diff_weights_desc - Diff weights memory descriptor.; diff_bias_desc - Diff bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_deconvolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_backward_weights_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                              dnnl_convolution_desc_t deconv_desc,
                                                                                              @Cast(value="dnnl_alg_kind_t")
                                                                                              int alg_kind,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t src_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_weights_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_bias_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_dst_desc,
                                                                                              @Cast(value="const int64_t*")
                                                                                              LongBuffer strides,
                                                                                              @Cast(value="const int64_t*")
                                                                                              LongBuffer padding_l,
                                                                                              @Cast(value="const int64_t*")
                                                                                              LongBuffer padding_r)

dnnl_deconvolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_deconvolution_backward_weights_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                              dnnl_convolution_desc_t deconv_desc,
                                                                                              @Cast(value="dnnl_alg_kind_t")
                                                                                              int alg_kind,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t src_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_weights_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_bias_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_dst_desc,
                                                                                              @Cast(value="const int64_t*")
                                                                                              long[] strides,
                                                                                              @Cast(value="const int64_t*")
                                                                                              long[] padding_l,
                                                                                              @Cast(value="const int64_t*")
                                                                                              long[] padding_r)

dnnl_dilated_deconvolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_backward_weights_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                                      dnnl_convolution_desc_t deconv_desc,
                                                                                                      @Cast(value="dnnl_alg_kind_t")
                                                                                                      int alg_kind,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t src_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_weights_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_bias_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_dst_desc,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongPointer strides,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongPointer dilates,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongPointer padding_l,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongPointer padding_r)

Initializes a descriptor for a dilated deconvolution weights gradient primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any. Arrays \p strides, \p dilates, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: deconv_desc - Output descriptor for a deconvolution primitive.; alg_kind - Deconvolution algorithm. Possible values are #dnnl_deconvolution_direct, #dnnl_deconvolution_winograd.; src_desc - Source memory descriptor.; diff_weights_desc - Diff weights memory descriptor.; diff_bias_desc - Diff bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; dilates - Array of dilations for spatial dimension. A zero value means no dilation in the corresponding dimension.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_dilated_deconvolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_backward_weights_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                                      dnnl_convolution_desc_t deconv_desc,
                                                                                                      @Cast(value="dnnl_alg_kind_t")
                                                                                                      int alg_kind,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t src_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_weights_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_bias_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_dst_desc,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongBuffer strides,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongBuffer dilates,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongBuffer padding_l,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      LongBuffer padding_r)

dnnl_dilated_deconvolution_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_dilated_deconvolution_backward_weights_desc_init(@Cast(value="dnnl_deconvolution_desc_t*")
                                                                                                      dnnl_convolution_desc_t deconv_desc,
                                                                                                      @Cast(value="dnnl_alg_kind_t")
                                                                                                      int alg_kind,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t src_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_weights_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_bias_desc,
                                                                                                      @Const
                                                                                                      dnnl_memory_desc_t diff_dst_desc,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      long[] strides,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      long[] dilates,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      long[] padding_l,
                                                                                                      @Cast(value="const int64_t*")
                                                                                                      long[] padding_r)

dnnl_shuffle_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_shuffle_forward_desc_init(dnnl_shuffle_desc_t shuffle_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Const
                                                                               dnnl_memory_desc_t data_desc,
                                                                               int axis,
                                                                               @Cast(value="dnnl_dim_t")
                                                                               long group_size)

\} dnnl_api_deconvolution

\addtogroup dnnl_api_shuffle \{

Initializes a descriptor for shuffle forward propagation primitive.

Parameters:: shuffle_desc - Output descriptor for a shuffle primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; data_desc - Source and destination memory descriptor.; axis - The axis along which the data is shuffled.; group_size - Shuffle group size.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_shuffle_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_shuffle_backward_desc_init(dnnl_shuffle_desc_t shuffle_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_data_desc,
                                                                                int axis,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long group_size)

Initializes a descriptor for shuffle backward propagation primitive.

Parameters:: shuffle_desc - Output descriptor for a shuffle primitive.; diff_data_desc - Diff source and diff destination memory descriptor.; axis - The axis along which the data is shuffled.; group_size - Shuffle group size.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_eltwise_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_eltwise_forward_desc_init(dnnl_eltwise_desc_t eltwise_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_alg_kind_t")
                                                                               int alg_kind,
                                                                               @Const
                                                                               dnnl_memory_desc_t data_desc,
                                                                               float alpha,
                                                                               float beta)

\} dnnl_api_shuffle

\addtogroup dnnl_api_eltwise \{

Initializes a descriptor for eltwise forward propagation primitive.

Parameters:: eltwise_desc - Output descriptor for an eltwise primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - Elementwise algorithm kind.; data_desc - Source and destination memory descriptor.; alpha - The alpha parameter for the elementwise operation. Specific meaning depends on the algorithm.; beta - The beta parameter for the elementwise operation. Specific meaning depends on the algorithm.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_eltwise_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_eltwise_backward_desc_init(dnnl_eltwise_desc_t eltwise_desc,
                                                                                @Cast(value="dnnl_alg_kind_t")
                                                                                int alg_kind,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_data_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t data_desc,
                                                                                float alpha,
                                                                                float beta)

Initializes a descriptor for eltwise backward propagation primitive.

Parameters:: eltwise_desc - Output descriptor for an eltwise primitive.; alg_kind - Elementwise algorithm kind.; diff_data_desc - Diff source and diff destination memory descriptors.; data_desc - Source and destination memory descriptor.; alpha - The alpha parameter for the elementwise operation. Specific meaning depends on the algorithm.; beta - The beta parameter for the elementwise operation. Specific meaning depends on the algorithm.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_softmax_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_softmax_forward_desc_init(dnnl_softmax_desc_t softmax_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Const
                                                                               dnnl_memory_desc_t data_desc,
                                                                               int softmax_axis)

\} dnnl_api_eltwise

\addtogroup dnnl_api_softmax \{

Initializes a descriptor for softmax forward propagation primitive.

Parameters:: softmax_desc - Output descriptor for a softmax primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; data_desc - Source and destination memory descriptor.; softmax_axis - Axis over which softmax is computed.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_softmax_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_softmax_backward_desc_init(dnnl_softmax_desc_t softmax_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_data_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t data_desc,
                                                                                int softmax_axis)

Initializes a descriptor for softmax backward propagation primitive.

Parameters:: softmax_desc - Output descriptor for a softmax primitive.; diff_data_desc - Diff source and diff destination memory descriptors.; data_desc - Destination memory descriptor.; softmax_axis - Axis over which softmax is computed.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_logsoftmax_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_logsoftmax_forward_desc_init(@Cast(value="dnnl_logsoftmax_desc_t*")
                                                                                  dnnl_softmax_desc_t logsoftmax_desc,
                                                                                  @Cast(value="dnnl_prop_kind_t")
                                                                                  int prop_kind,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t data_desc,
                                                                                  int logsoftmax_axis)

\} dnnl_api_softmax

\addtogroup dnnl_api_logsoftmax \{

Initializes a descriptor for logsoftmax forward propagation primitive.

Parameters:: logsoftmax_desc - Output descriptor for a logsoftmax primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; data_desc - Source and destination memory descriptor.; logsoftmax_axis - Axis over which logsoftmax is computed.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_logsoftmax_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_logsoftmax_backward_desc_init(@Cast(value="dnnl_logsoftmax_desc_t*")
                                                                                   dnnl_softmax_desc_t logsoftmax_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_data_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t data_desc,
                                                                                   int logsoftmax_axis)

Initializes a descriptor for logsoftmax backward propagation primitive.

Parameters:: logsoftmax_desc - Output descriptor for a logsoftmax primitive.; diff_data_desc - Diff source and diff destination memory descriptors.; data_desc - Destination memory descriptor.; logsoftmax_axis - Axis over which softmax is computed.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_pooling_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_pooling_forward_desc_init(dnnl_pooling_desc_t pool_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_alg_kind_t")
                                                                               int alg_kind,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               @Cast(value="const int64_t*")
                                                                               LongPointer strides,
                                                                               @Cast(value="const int64_t*")
                                                                               LongPointer kernel,
                                                                               @Cast(value="const int64_t*")
                                                                               LongPointer padding_l,
                                                                               @Cast(value="const int64_t*")
                                                                               LongPointer padding_r)

\} dnnl_api_logsoftmax

\addtogroup dnnl_api_pooling \{

Initializes a descriptor for pooling forward propagation primitive. Arrays \p strides, \p kernel, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: pool_desc - Output descriptor for a pooling primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - Pooling algorithm kind: either #dnnl_pooling_max, #dnnl_pooling_avg_include_padding, or #dnnl_pooling_avg (same as #dnnl_pooling_avg_exclude_padding).; src_desc - Source memory descriptor.; dst_desc - Destination memory descriptor.; strides - Array of strides for spatial dimension.; kernel - Array of kernel spatial dimensions.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_pooling_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_pooling_forward_desc_init(dnnl_pooling_desc_t pool_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_alg_kind_t")
                                                                               int alg_kind,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               @Cast(value="const int64_t*")
                                                                               LongBuffer strides,
                                                                               @Cast(value="const int64_t*")
                                                                               LongBuffer kernel,
                                                                               @Cast(value="const int64_t*")
                                                                               LongBuffer padding_l,
                                                                               @Cast(value="const int64_t*")
                                                                               LongBuffer padding_r)

dnnl_pooling_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_pooling_forward_desc_init(dnnl_pooling_desc_t pool_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_alg_kind_t")
                                                                               int alg_kind,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_desc,
                                                                               @Cast(value="const int64_t*")
                                                                               long[] strides,
                                                                               @Cast(value="const int64_t*")
                                                                               long[] kernel,
                                                                               @Cast(value="const int64_t*")
                                                                               long[] padding_l,
                                                                               @Cast(value="const int64_t*")
                                                                               long[] padding_r)

dnnl_pooling_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_pooling_backward_desc_init(dnnl_pooling_desc_t pool_desc,
                                                                                @Cast(value="dnnl_alg_kind_t")
                                                                                int alg_kind,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_desc,
                                                                                @Cast(value="const int64_t*")
                                                                                LongPointer strides,
                                                                                @Cast(value="const int64_t*")
                                                                                LongPointer kernel,
                                                                                @Cast(value="const int64_t*")
                                                                                LongPointer padding_l,
                                                                                @Cast(value="const int64_t*")
                                                                                LongPointer padding_r)

Initializes a descriptor for pooling backward propagation primitive. Arrays \p strides, \p kernel, \p padding_l, and \p padding_r contain values for spatial dimensions only and hence must have the same number of elements as there are spatial dimensions. The order of values is the same as in the tensor: depth (for 3D tensors), height (for 3D and 2D tensors), and width.

Parameters:: pool_desc - Output descriptor for a pooling primitive.; alg_kind - Pooling algorithm kind: either #dnnl_pooling_max, #dnnl_pooling_avg_include_padding, or #dnnl_pooling_avg (same as #dnnl_pooling_avg_exclude_padding).; diff_src_desc - Diff source memory descriptor.; diff_dst_desc - Diff destination memory descriptor.; strides - Array of strides for spatial dimension.; kernel - Array of kernel spatial dimensions.; padding_l - Array of padding values for low indices for each spatial dimension ([[front,] top,] left).; padding_r - Array of padding values for high indices for each spatial dimension ([[back,] bottom,] right). Can be NULL in which case padding is considered to be symmetrical.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_pooling_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_pooling_backward_desc_init(dnnl_pooling_desc_t pool_desc,
                                                                                @Cast(value="dnnl_alg_kind_t")
                                                                                int alg_kind,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_desc,
                                                                                @Cast(value="const int64_t*")
                                                                                LongBuffer strides,
                                                                                @Cast(value="const int64_t*")
                                                                                LongBuffer kernel,
                                                                                @Cast(value="const int64_t*")
                                                                                LongBuffer padding_l,
                                                                                @Cast(value="const int64_t*")
                                                                                LongBuffer padding_r)

dnnl_pooling_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_pooling_backward_desc_init(dnnl_pooling_desc_t pool_desc,
                                                                                @Cast(value="dnnl_alg_kind_t")
                                                                                int alg_kind,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_desc,
                                                                                @Cast(value="const int64_t*")
                                                                                long[] strides,
                                                                                @Cast(value="const int64_t*")
                                                                                long[] kernel,
                                                                                @Cast(value="const int64_t*")
                                                                                long[] padding_l,
                                                                                @Cast(value="const int64_t*")
                                                                                long[] padding_r)

dnnl_lrn_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_lrn_forward_desc_init(dnnl_lrn_desc_t lrn_desc,
                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                           int prop_kind,
                                                                           @Cast(value="dnnl_alg_kind_t")
                                                                           int alg_kind,
                                                                           @Const
                                                                           dnnl_memory_desc_t data_desc,
                                                                           @Cast(value="dnnl_dim_t")
                                                                           long local_size,
                                                                           float alpha,
                                                                           float beta,
                                                                           float k)

\} dnnl_api_pooling

\addtogroup dnnl_api_lrn \{

Initializes a descriptor for LRN forward propagation primitive.

Parameters:: lrn_desc - Output descriptor for a LRN primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - LRN algorithm kind: either #dnnl_lrn_across_channels or #dnnl_lrn_within_channel.; data_desc - Source and destination memory descriptor.; local_size - Regularization local size.; alpha - The alpha regularization parameter.; beta - The beta regularization parameter.; k - The k regularization parameter.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_lrn_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_lrn_backward_desc_init(dnnl_lrn_desc_t lrn_desc,
                                                                            @Cast(value="dnnl_alg_kind_t")
                                                                            int alg_kind,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_data_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t data_desc,
                                                                            @Cast(value="dnnl_dim_t")
                                                                            long local_size,
                                                                            float alpha,
                                                                            float beta,
                                                                            float k)

Initializes a descriptor for LRN backward propagation primitive.

Parameters:: lrn_desc - Output descriptor for a LRN primitive.; alg_kind - LRN algorithm kind: either #dnnl_lrn_across_channels or #dnnl_lrn_within_channel.; diff_data_desc - Diff source and diff destination memory descriptor.; data_desc - Source memory descriptor.; local_size - Regularization local size.; alpha - The alpha regularization parameter.; beta - The beta regularization parameter.; k - The k regularization parameter.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_batch_normalization_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_batch_normalization_forward_desc_init(dnnl_batch_normalization_desc_t bnrm_desc,
                                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                                           int prop_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t data_desc,
                                                                                           float epsilon,
                                                                                           @Cast(value="unsigned")
                                                                                           int flags)

\} dnnl_api_lrn

\addtogroup dnnl_api_batch_normalization \{

Initializes a descriptor for a batch normalization forward propagation primitive. \note In-place operation is supported: the dst can refer to the same memory as the src.

Parameters:: bnrm_desc - Output descriptor for batch normalization primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; data_desc - Source and destination memory descriptor.; epsilon - Batch normalization epsilon parameter.; flags - Batch normalization flags (\ref dnnl_normalization_flags_t).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_batch_normalization_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_batch_normalization_backward_desc_init(dnnl_batch_normalization_desc_t bnrm_desc,
                                                                                            @Cast(value="dnnl_prop_kind_t")
                                                                                            int prop_kind,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_data_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t data_desc,
                                                                                            float epsilon,
                                                                                            @Cast(value="unsigned")
                                                                                            int flags)

Initializes a descriptor for a batch normalization backward propagation primitive. \note In-place operation is supported: the diff_dst can refer to the same memory as the diff_src.

Parameters:: bnrm_desc - Output descriptor for batch normalization primitive.; prop_kind - Propagation kind. Possible values are #dnnl_backward_data and #dnnl_backward (diffs for all parameters are computed in this case).; diff_data_desc - Diff source and diff destination memory descriptor.; data_desc - Source memory descriptor.; epsilon - Batch normalization epsilon parameter.; flags - Batch normalization flags (\ref dnnl_normalization_flags_t).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_layer_normalization_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_layer_normalization_forward_desc_init(dnnl_layer_normalization_desc_t lnrm_desc,
                                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                                           int prop_kind,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t data_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t stat_desc,
                                                                                           float epsilon,
                                                                                           @Cast(value="unsigned")
                                                                                           int flags)

\} dnnl_api_batch_normalization

\addtogroup dnnl_api_layer_normalization \{

Initializes a descriptor for layer normalization forward propagation primitive. \note In-place operation is supported: the dst can refer to the same memory as the src.

Parameters:: lnrm_desc - Output descriptor for layer normalization primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; data_desc - Source and destination memory descriptor.; stat_desc - Memory descriptor for mean and variance. If this parameter is NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef, then the memory descriptor for stats is derived from \p data_desc by removing the last dimension.; epsilon - Layer normalization epsilon parameter.; flags - Layer normalization flags (\ref dnnl_normalization_flags_t).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_layer_normalization_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_layer_normalization_backward_desc_init(dnnl_layer_normalization_desc_t lnrm_desc,
                                                                                            @Cast(value="dnnl_prop_kind_t")
                                                                                            int prop_kind,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t diff_data_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t data_desc,
                                                                                            @Const
                                                                                            dnnl_memory_desc_t stat_desc,
                                                                                            float epsilon,
                                                                                            @Cast(value="unsigned")
                                                                                            int flags)

Initializes a descriptor for a layer normalization backward propagation primitive. \note In-place operation is supported: the diff_dst can refer to the same memory as the diff_src.

Parameters:: lnrm_desc - Output descriptor for layer normalization primitive.; prop_kind - Propagation kind. Possible values are #dnnl_backward_data and #dnnl_backward (diffs for all parameters are computed in this case).; diff_data_desc - Diff source and diff destination memory descriptor.; data_desc - Source memory descriptor.; stat_desc - Memory descriptor for mean and variance. If this parameter is NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef, then the memory descriptor for stats is derived from \p data_desc by removing the last dimension.; epsilon - Layer normalization epsilon parameter.; flags - Layer normalization flags (\ref dnnl_normalization_flags_t).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_inner_product_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_inner_product_forward_desc_init(dnnl_inner_product_desc_t ip_desc,
                                                                                     @Cast(value="dnnl_prop_kind_t")
                                                                                     int prop_kind,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t src_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t weights_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t bias_desc,
                                                                                     @Const
                                                                                     dnnl_memory_desc_t dst_desc)

\} dnnl_api_layer_normalization

\addtogroup dnnl_api_inner_product \{

Initializes descriptor for inner product forward propagation. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: ip_desc - Output descriptor for inner product primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; src_desc - Source memory descriptor.; weights_desc - Weights memory descriptor.; bias_desc - Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; dst_desc - Destination memory descriptor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_inner_product_backward_data_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_inner_product_backward_data_desc_init(dnnl_inner_product_desc_t ip_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_src_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t weights_desc,
                                                                                           @Const
                                                                                           dnnl_memory_desc_t diff_dst_desc)

Initializes descriptor for inner product backward propagation. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: ip_desc - Output descriptor for inner product primitive.; diff_src_desc - Diff source memory descriptor.; weights_desc - Weights memory descriptor.; diff_dst_desc - Diff destination memory descriptor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_inner_product_backward_weights_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_inner_product_backward_weights_desc_init(dnnl_inner_product_desc_t ip_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t src_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_weights_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_bias_desc,
                                                                                              @Const
                                                                                              dnnl_memory_desc_t diff_dst_desc)

Initializes descriptor for inner product weights gradient primitive. \note Memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: ip_desc - Output descriptor for inner product primitive.; src_desc - Source memory descriptor.; diff_weights_desc - Diff weights memory descriptor.; diff_bias_desc - Diff bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; diff_dst_desc - Diff destination memory descriptor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_set_rnn_data_qparams

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_rnn_data_qparams(dnnl_primitive_attr attr,
                                                                                         float scale,
                                                                                         float shift)

\} dnnl_api_inner_product

\addtogroup dnnl_api_attributes \{

Set quantization scale and shift parameters for RNN data tensors. For performance reasons, the low-precision configuration of the RNN primitives expects input activations to have the unsigned 8-bit integer data type. The scale and shift parameters are used to quantize floating-point data to unsigned integer and must be passed to the RNN primitive using attributes. The quantization formula is scale * (data + shift). \note Quantization scale and shift are common for src_layer, src_iter, dst_iter, and dst_layer. Example usage:


      // RNN parameters
      int l = 2, t = 2, mb = 32, sic = 32, slc = 32, dic = 32, dlc = 32;
      // Activations quantization parameters
      float scale = ..., shift = ..;
 
      dnnl_primitive_attr_t rnn_attr;
      // Create default attributes
      dnnl_primitive_attr_create(&rnn_attr);
 
      // Set scale and shift for int8 quantization of activation
      dnnl_primitive_attr_set_rnn_data_qparams(rnn_attr, scale, shift);
 
      // Create and configure rnn op_desc
      dnnl_rnn_desc_t rnn_d;
      dnnl_primitive_desc_t rnn_pd;
      dnnl_primitive_desc_create(&rnn_pd, &rnn_d, attr, engine, NULL);

Parameters:: attr - Primitive attributes.; scale - The value to scale the data by.; shift - The value to shift the data by.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_set_rnn_weights_qparams
```
@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_rnn_weights_qparams(dnnl_primitive_attr attr,
                                                                                            @Cast(value="dnnl_dim_t")
                                                                                            long count,
                                                                                            int mask,
                                                                                            @Const
                                                                                            FloatPointer scales)
```
Sets quantization scaling factors for RNN weights tensors. The low-precision configuration of the RNN primitives expects input weights to use the signed 8-bit integer data type. The scaling factors are used to quantize floating-point data to signed integer and must be passed to RNN primitives using attributes. \note The dimension order is always native and does not depend on the actual layout used. For example, five-dimensional weights always have (l, d, i, g, o) logical dimension ordering. \note Quantization scales are common for weights_layer and weights_iteration
Parameters:

attr - Primitive attributes.

count - Number of elements in the \p scales array.

mask - Scaling factors correspondence mask that defines the correspondence between the output tensor dimensions and the \p scales vector. The set i-th bit indicates that a dedicated scaling factor should be used for each index along that dimension. Set the mask to 0 to use a common scaling factor for the whole output tensor.
scales - Array of output scaling factors that must contain \p count values and the following equality must hold:
```
 \[count = \prod\limits_{d \in mask} weights.dims[d].\]
```
Violations can only be detected when the attributes are used to create a primitive descriptor.
Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_primitive_attr_set_rnn_weights_qparams

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_rnn_weights_qparams(dnnl_primitive_attr attr,
                                                                                            @Cast(value="dnnl_dim_t")
                                                                                            long count,
                                                                                            int mask,
                                                                                            @Const
                                                                                            FloatBuffer scales)

dnnl_primitive_attr_set_rnn_weights_qparams

@Cast(value="dnnl_status_t")
public static int dnnl_primitive_attr_set_rnn_weights_qparams(dnnl_primitive_attr attr,
                                                                                            @Cast(value="dnnl_dim_t")
                                                                                            long count,
                                                                                            int mask,
                                                                                            @Const
                                                                                            float[] scales)

dnnl_vanilla_rnn_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_vanilla_rnn_forward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                                   @Cast(value="dnnl_prop_kind_t")
                                                                                   int prop_kind,
                                                                                   @Cast(value="const dnnl_alg_kind_t")
                                                                                   int activation,
                                                                                   @Cast(value="const dnnl_rnn_direction_t")
                                                                                   int direction,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_layer_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t src_iter_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t weights_layer_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t weights_iter_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t bias_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_layer_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t dst_iter_desc,
                                                                                   @Cast(value="unsigned")
                                                                                   int flags,
                                                                                   float alpha,
                                                                                   float beta)

\} dnnl_api_attributes

\addtogroup dnnl_api_rnn \{

Initializes a descriptor for vanilla RNN forward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc, - \p bias_desc, - \p dst_iter_desc. This would then indicate that the RNN forward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for vanilla RNN primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; activation - Activation kind. Possible values are #dnnl_eltwise_relu, #dnnl_eltwise_tanh or #dnnl_eltwise_logistic.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; flags - Unused.; alpha - Negative slope if activation is #dnnl_eltwise_relu.; beta - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_vanilla_rnn_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_vanilla_rnn_backward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                                    @Cast(value="dnnl_prop_kind_t")
                                                                                    int prop_kind,
                                                                                    @Cast(value="const dnnl_alg_kind_t")
                                                                                    int activation,
                                                                                    @Cast(value="const dnnl_rnn_direction_t")
                                                                                    int direction,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t src_layer_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t src_iter_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t weights_layer_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t weights_iter_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t bias_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t dst_layer_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t dst_iter_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_src_layer_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_src_iter_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_weights_layer_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_weights_iter_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_bias_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_dst_layer_desc,
                                                                                    @Const
                                                                                    dnnl_memory_desc_t diff_dst_iter_desc,
                                                                                    @Cast(value="unsigned")
                                                                                    int flags,
                                                                                    float alpha,
                                                                                    float beta)

Initializes a descriptor for vanilla RNN backward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p diff_src_iter_desc, - \p bias_desc together with \p diff_bias_desc, - \p dst_iter_desc together with \p diff_dst_iter_desc. This would then indicate that the RNN backward propagation primitive should not use the respective data and should use zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for vanilla RNN primitive.; prop_kind - Propagation kind. Must be #dnnl_backward.; activation - Activation kind. Possible values are #dnnl_eltwise_relu, #dnnl_eltwise_tanh or #dnnl_eltwise_logistic.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; diff_src_layer_desc - Memory descriptor for the diff of input vector.; diff_src_iter_desc - Memory descriptor for the diff of input recurrent hidden state vector.; diff_weights_layer_desc - Memory descriptor for the diff of weights applied to the layer input.; diff_weights_iter_desc - Memory descriptor for the diff of weights applied to the recurrent input.; diff_bias_desc - Diff bias memory descriptor.; diff_dst_layer_desc - Memory descriptor for the diff of output vector.; diff_dst_iter_desc - Memory descriptor for the diff of output recurrent hidden state vector.; flags - Unused.; alpha - Negative slope if activation is #dnnl_eltwise_relu.; beta - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_lstm_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_lstm_forward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                            @Cast(value="dnnl_prop_kind_t")
                                                                            int prop_kind,
                                                                            @Cast(value="dnnl_rnn_direction_t")
                                                                            int direction,
                                                                            @Const
                                                                            dnnl_memory_desc_t src_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t src_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t src_iter_c_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t weights_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t weights_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t bias_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t dst_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t dst_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t dst_iter_c_desc,
                                                                            @Cast(value="unsigned")
                                                                            int flags)

Initializes a descriptor for LSTM forward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p src_iter_c_desc, - \p bias_desc, - \p dst_iter_desc together with \p dst_iter_c_desc. This would then indicate that the LSTM forward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LSTM primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; src_iter_c_desc - Memory descriptor for the input recurrent cell state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; dst_iter_c_desc - Memory descriptor for the output recurrent cell state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.
See Also:: to initialize forward LSTM with and without peephole, to initialize forward LSTM with and without peephole / recurrent projection layer

dnnl_lstm_forward_desc_init_v2

@Cast(value="dnnl_status_t")
public static int dnnl_lstm_forward_desc_init_v2(dnnl_rnn_desc_t rnn_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_rnn_direction_t")
                                                                               int direction,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_iter_c_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_peephole_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t bias_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_iter_c_desc,
                                                                               @Cast(value="unsigned")
                                                                               int flags)

Initializes a descriptor for an LSTM (with or without peephole) forward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p src_iter_c_desc, - \p weights_peephole_desc, - \p bias_desc, - \p dst_iter_desc together with \p dst_iter_c_desc. This would then indicate that the LSTM forward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LSTM primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; src_iter_c_desc - Memory descriptor for the input recurrent cell state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; weights_peephole_desc - Memory descriptor for the weights applied to the cell states (according to the Peephole LSTM formula).; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; dst_iter_c_desc - Memory descriptor for the output recurrent cell state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.
See Also:: to initialize forward LSTM with and without peephole / recurrent projection layer

dnnl_lstm_forward_desc_init_v3

@Cast(value="dnnl_status_t")
public static int dnnl_lstm_forward_desc_init_v3(dnnl_rnn_desc_t rnn_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_rnn_direction_t")
                                                                               int direction,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_iter_c_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_peephole_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_projection_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t bias_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_iter_c_desc,
                                                                               @Cast(value="unsigned")
                                                                               int flags)

Initializes a descriptor for an LSTM (with or without peephole and with or without recurrent projection layer) forward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p src_iter_c_desc, - \p weights_peephole_desc, - \p bias_desc, - \p dst_iter_desc together with \p dst_iter_c_desc. This would then indicate that the LSTM forward propagation primitive should not use them and should default to zero values instead. The \p weights_projection_desc could either be \c NULL or point to a zero memory descriptor. This would then indicate that the LSTM doesn't have recurrent projection layer. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LSTM primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; src_iter_c_desc - Memory descriptor for the input recurrent cell state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; weights_peephole_desc - Memory descriptor for the weights applied to the cell states (according to the Peephole LSTM formula).; weights_projection_desc - Memory descriptor for the weights applied to the hidden states to get the recurrent projection (according to the Projection LSTM formula).; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; dst_iter_c_desc - Memory descriptor for the output recurrent cell state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_lstm_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_lstm_backward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                             @Cast(value="dnnl_prop_kind_t")
                                                                             int prop_kind,
                                                                             @Cast(value="dnnl_rnn_direction_t")
                                                                             int direction,
                                                                             @Const
                                                                             dnnl_memory_desc_t src_layer_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t src_iter_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t src_iter_c_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t weights_layer_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t weights_iter_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t bias_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t dst_layer_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t dst_iter_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t dst_iter_c_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_src_layer_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_src_iter_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_src_iter_c_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_weights_layer_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_weights_iter_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_bias_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_dst_layer_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_dst_iter_desc,
                                                                             @Const
                                                                             dnnl_memory_desc_t diff_dst_iter_c_desc,
                                                                             @Cast(value="unsigned")
                                                                             int flags)

Initializes a descriptor for an LSTM backward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p src_iter_c_desc, diff_src_iter_desc, and \p diff_src_iter_c_desc, - \p bias_desc together with \p diff_bias_desc, - \p dst_iter_desc together with \p dst_iter_c_desc, diff_dst_iter_desc, and \p diff_dst_iter_c_desc. This would then indicate that the LSTM backward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LSTM primitive.; prop_kind - Propagation kind. Must be #dnnl_backward.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; src_iter_c_desc - Memory descriptor for the input recurrent cell state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; dst_iter_c_desc - Memory descriptor for the output recurrent cell state vector.; diff_src_layer_desc - Memory descriptor for the diff of input vector.; diff_src_iter_desc - Memory descriptor for the diff of input recurrent hidden state vector.; diff_src_iter_c_desc - Memory descriptor for the diff of input recurrent cell state vector.; diff_weights_layer_desc - Memory descriptor for the diff of weights applied to the layer input.; diff_weights_iter_desc - Memory descriptor for the diff of weights applied to the recurrent input.; diff_bias_desc - Diff bias memory descriptor.; diff_dst_layer_desc - Memory descriptor for the diff of output vector.; diff_dst_iter_desc - Memory descriptor for the diff of output recurrent hidden state vector.; diff_dst_iter_c_desc - Memory descriptor for the diff of output recurrent cell state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.
See Also:: to initialize backward LSTM with and without peephole, to initialize backward LSTM with and without peephole / recurrent projection layer

dnnl_lstm_backward_desc_init_v2

@Cast(value="dnnl_status_t")
public static int dnnl_lstm_backward_desc_init_v2(dnnl_rnn_desc_t rnn_desc,
                                                                                @Cast(value="dnnl_prop_kind_t")
                                                                                int prop_kind,
                                                                                @Cast(value="dnnl_rnn_direction_t")
                                                                                int direction,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_iter_c_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_peephole_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t bias_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_iter_c_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_iter_c_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_peephole_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_bias_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_iter_c_desc,
                                                                                @Cast(value="unsigned")
                                                                                int flags)

Initializes a descriptor for an LSTM (with or without peephole) backward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p src_iter_c_desc, diff_src_iter_desc, and \p diff_src_iter_c_desc, - \p weights_peephole_desc together with \p diff_weights_peephole_desc, - \p bias_desc together with \p diff_bias_desc, - \p dst_iter_desc together with \p dst_iter_c_desc, diff_dst_iter_desc, and \p diff_dst_iter_c_desc. This would then indicate that the LSTM backward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LSTM primitive.; prop_kind - Propagation kind. Must be #dnnl_backward.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; src_iter_c_desc - Memory descriptor for the input recurrent cell state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; weights_peephole_desc - Memory descriptor for the weights applied to the cell states (according to the Peephole LSTM formula).; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; dst_iter_c_desc - Memory descriptor for the output recurrent cell state vector.; diff_src_layer_desc - Memory descriptor for the diff of input vector.; diff_src_iter_desc - Memory descriptor for the diff of input recurrent hidden state vector.; diff_src_iter_c_desc - Memory descriptor for the diff of input recurrent cell state vector.; diff_weights_layer_desc - Memory descriptor for the diff of weights applied to the layer input.; diff_weights_iter_desc - Memory descriptor for the diff of weights applied to the recurrent input.; diff_weights_peephole_desc - Memory descriptor for the diff of weights applied to the cell states (according to the Peephole LSTM formula).; diff_bias_desc - Diff bias memory descriptor.; diff_dst_layer_desc - Memory descriptor for the diff of output vector.; diff_dst_iter_desc - Memory descriptor for the diff of output recurrent hidden state vector.; diff_dst_iter_c_desc - Memory descriptor for the diff of output recurrent cell state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.
See Also:: to initialize backward LSTM with and without peephole / recurrent projection layer

dnnl_lstm_backward_desc_init_v3

@Cast(value="dnnl_status_t")
public static int dnnl_lstm_backward_desc_init_v3(dnnl_rnn_desc_t rnn_desc,
                                                                                @Cast(value="dnnl_prop_kind_t")
                                                                                int prop_kind,
                                                                                @Cast(value="dnnl_rnn_direction_t")
                                                                                int direction,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_iter_c_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_peephole_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_projection_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t bias_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_iter_c_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_iter_c_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_peephole_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_projection_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_bias_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_iter_c_desc,
                                                                                @Cast(value="unsigned")
                                                                                int flags)

Initializes a descriptor for an LSTM (with or without peephole and with or with out recurrent projection layer) backward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p src_iter_c_desc, diff_src_iter_desc, and \p diff_src_iter_c_desc, - \p weights_peephole_desc together with \p diff_weights_peephole_desc, - \p bias_desc together with \p diff_bias_desc, - \p dst_iter_desc together with \p dst_iter_c_desc, diff_dst_iter_desc, and \p diff_dst_iter_c_desc. This would then indicate that the LSTM backward propagation primitive should not use them and should default to zero values instead. The \p weights_projection_desc together with \p diff_weights_projection_desc could either be \c NULL or point to a zero memory descriptor. This would then indicate that the LSTM doesn't have recurrent projection layer. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LSTM primitive.; prop_kind - Propagation kind. Must be #dnnl_backward.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; src_iter_c_desc - Memory descriptor for the input recurrent cell state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; weights_peephole_desc - Memory descriptor for the weights applied to the cell states (according to the Peephole LSTM formula).; weights_projection_desc - Memory descriptor for the weights applied to the hidden states to get the recurrent projection (according to the Projection LSTM formula).; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; dst_iter_c_desc - Memory descriptor for the output recurrent cell state vector.; diff_src_layer_desc - Memory descriptor for the diff of input vector.; diff_src_iter_desc - Memory descriptor for the diff of input recurrent hidden state vector.; diff_src_iter_c_desc - Memory descriptor for the diff of input recurrent cell state vector.; diff_weights_layer_desc - Memory descriptor for the diff of weights applied to the layer input.; diff_weights_iter_desc - Memory descriptor for the diff of weights applied to the recurrent input.; diff_weights_peephole_desc - Memory descriptor for the diff of weights applied to the cell states (according to the Peephole LSTM formula).; diff_weights_projection_desc - Memory descriptor for the diff of weights applied to the hidden states to get the recurrent projection (according to the Projection LSTM formula).; diff_bias_desc - Diff bias memory descriptor.; diff_dst_layer_desc - Memory descriptor for the diff of output vector.; diff_dst_iter_desc - Memory descriptor for the diff of output recurrent hidden state vector.; diff_dst_iter_c_desc - Memory descriptor for the diff of output recurrent cell state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_gru_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_gru_forward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                           @Cast(value="dnnl_prop_kind_t")
                                                                           int prop_kind,
                                                                           @Cast(value="dnnl_rnn_direction_t")
                                                                           int direction,
                                                                           @Const
                                                                           dnnl_memory_desc_t src_layer_desc,
                                                                           @Const
                                                                           dnnl_memory_desc_t src_iter_desc,
                                                                           @Const
                                                                           dnnl_memory_desc_t weights_layer_desc,
                                                                           @Const
                                                                           dnnl_memory_desc_t weights_iter_desc,
                                                                           @Const
                                                                           dnnl_memory_desc_t bias_desc,
                                                                           @Const
                                                                           dnnl_memory_desc_t dst_layer_desc,
                                                                           @Const
                                                                           dnnl_memory_desc_t dst_iter_desc,
                                                                           @Cast(value="unsigned")
                                                                           int flags)

Initializes a descriptor for GRU forward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc, - \p bias_desc, - \p dst_iter_desc. This would then indicate that the GRU forward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for GRU primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_gru_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_gru_backward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                            @Cast(value="dnnl_prop_kind_t")
                                                                            int prop_kind,
                                                                            @Cast(value="dnnl_rnn_direction_t")
                                                                            int direction,
                                                                            @Const
                                                                            dnnl_memory_desc_t src_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t src_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t weights_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t weights_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t bias_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t dst_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t dst_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_src_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_src_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_weights_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_weights_iter_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_bias_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_dst_layer_desc,
                                                                            @Const
                                                                            dnnl_memory_desc_t diff_dst_iter_desc,
                                                                            @Cast(value="unsigned")
                                                                            int flags)

Initializes a descriptor for GRU backward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p diff_src_iter_desc, - \p bias_desc together with \p diff_bias_desc, - \p dst_iter_desc together with \p diff_dst_iter_desc. This would then indicate that the GRU backward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for GRU primitive.; prop_kind - Propagation kind. Must be #dnnl_backward.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; diff_src_layer_desc - Memory descriptor for the diff of input vector.; diff_src_iter_desc - Memory descriptor for the diff of input recurrent hidden state vector.; diff_weights_layer_desc - Memory descriptor for the diff of weights applied to the layer input.; diff_weights_iter_desc - Memory descriptor for the diff of weights applied to the recurrent input.; diff_bias_desc - Diff bias memory descriptor.; diff_dst_layer_desc - Memory descriptor for the diff of output vector.; diff_dst_iter_desc - Memory descriptor for the diff of output recurrent hidden state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_lbr_gru_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_lbr_gru_forward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                               @Cast(value="dnnl_prop_kind_t")
                                                                               int prop_kind,
                                                                               @Cast(value="dnnl_rnn_direction_t")
                                                                               int direction,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t src_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t weights_iter_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t bias_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_layer_desc,
                                                                               @Const
                                                                               dnnl_memory_desc_t dst_iter_desc,
                                                                               @Cast(value="unsigned")
                                                                               int flags)

Initializes a descriptor for LBR GRU forward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc, - \p bias_desc, - \p dst_iter_desc. This would then indicate that the LBR GRU forward propagation primitive should not use them and should default to zero values instead.

Parameters:: rnn_desc - Output descriptor for LBR GRU primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_lbr_gru_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_lbr_gru_backward_desc_init(dnnl_rnn_desc_t rnn_desc,
                                                                                @Cast(value="dnnl_prop_kind_t")
                                                                                int prop_kind,
                                                                                @Cast(value="dnnl_rnn_direction_t")
                                                                                int direction,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t src_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t weights_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t bias_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t dst_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_src_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_weights_iter_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_bias_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_layer_desc,
                                                                                @Const
                                                                                dnnl_memory_desc_t diff_dst_iter_desc,
                                                                                @Cast(value="unsigned")
                                                                                int flags)

Initializes a descriptor for LBR GRU backward propagation primitive. The following arguments may either be \c NULL or point to a zero memory descriptor: - \p src_iter_desc together with \p diff_src_iter_desc, - \p bias_desc together with \p diff_bias_desc, - \p dst_iter_desc together with \p diff_dst_iter_desc. This would then indicate that the LBR GRU backward propagation primitive should not use them and should default to zero values instead. \note All memory descriptors can be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: rnn_desc - Output descriptor for LBR GRU primitive.; prop_kind - Propagation kind. Must be #dnnl_backward.; direction - RNN direction. See \ref dnnl_rnn_direction_t for more info.; src_layer_desc - Memory descriptor for the input vector.; src_iter_desc - Memory descriptor for the input recurrent hidden state vector.; weights_layer_desc - Memory descriptor for the weights applied to the layer input.; weights_iter_desc - Memory descriptor for the weights applied to the recurrent input.; bias_desc - Bias memory descriptor.; dst_layer_desc - Memory descriptor for the output vector.; dst_iter_desc - Memory descriptor for the output recurrent hidden state vector.; diff_src_layer_desc - Memory descriptor for the diff of input vector.; diff_src_iter_desc - Memory descriptor for the diff of input recurrent hidden state vector.; diff_weights_layer_desc - Memory descriptor for the diff of weights applied to the layer input.; diff_weights_iter_desc - Memory descriptor for the diff of weights applied to the recurrent input.; diff_bias_desc - Diff bias memory descriptor.; diff_dst_layer_desc - Memory descriptor for the diff of output vector.; diff_dst_iter_desc - Memory descriptor for the diff of output recurrent hidden state vector.; flags - Unused.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_matmul_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_matmul_desc_init(dnnl_matmul_desc_t matmul_desc,
                                                                      @Const
                                                                      dnnl_memory_desc_t src_desc,
                                                                      @Const
                                                                      dnnl_memory_desc_t weights_desc,
                                                                      @Const
                                                                      dnnl_memory_desc_t bias_desc,
                                                                      @Const
                                                                      dnnl_memory_desc_t dst_desc)

\} dnnl_api_rnn

\addtogroup dnnl_api_matmul \{

Initializes a matrix multiplication descriptor.

Parameters:: matmul_desc - Output descriptor for matmul primitive.; src_desc - Source memory descriptor (matrix A); weights_desc - Weights memory descriptor (matrix B); bias_desc - Bias memory descriptor. Passing NULL, a zero memory descriptor, or a memory descriptor with format_kind set to #dnnl_format_kind_undef disables the bias term.; dst_desc - Destination memory descriptor (matrix C).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_resampling_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_resampling_forward_desc_init(dnnl_resampling_desc_t resampling_desc,
                                                                                  @Cast(value="dnnl_prop_kind_t")
                                                                                  int prop_kind,
                                                                                  @Cast(value="dnnl_alg_kind_t")
                                                                                  int alg_kind,
                                                                                  @Const
                                                                                  FloatPointer factors,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t src_desc,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t dst_desc)

\} dnnl_api_matmul

\addtogroup dnnl_api_resampling Resampling \{

Initializes a descriptor for a resampling forward propagation primitive. \note Destination memory descriptor is allowed to be initialized with #dnnl_format_tag_any or with format_kind set to #dnnl_format_kind_any.

Parameters:: resampling_desc - Output descriptor for a resampling primitive.; prop_kind - Propagation kind. Possible values are #dnnl_forward_training and #dnnl_forward_inference.; alg_kind - resampling algorithm kind: either #dnnl_resampling_nearest, or #dnnl_resampling_linear.; factors - Array of scaling factors for spatial dimension.; src_desc - Source memory descriptor.; dst_desc - Destination memory descriptor.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_resampling_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_resampling_forward_desc_init(dnnl_resampling_desc_t resampling_desc,
                                                                                  @Cast(value="dnnl_prop_kind_t")
                                                                                  int prop_kind,
                                                                                  @Cast(value="dnnl_alg_kind_t")
                                                                                  int alg_kind,
                                                                                  @Const
                                                                                  FloatBuffer factors,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t src_desc,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t dst_desc)

dnnl_resampling_forward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_resampling_forward_desc_init(dnnl_resampling_desc_t resampling_desc,
                                                                                  @Cast(value="dnnl_prop_kind_t")
                                                                                  int prop_kind,
                                                                                  @Cast(value="dnnl_alg_kind_t")
                                                                                  int alg_kind,
                                                                                  @Const
                                                                                  float[] factors,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t src_desc,
                                                                                  @Const
                                                                                  dnnl_memory_desc_t dst_desc)

dnnl_resampling_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_resampling_backward_desc_init(dnnl_resampling_desc_t resampling_desc,
                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                   int alg_kind,
                                                                                   @Const
                                                                                   FloatPointer factors,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_src_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_dst_desc)

Initializes a descriptor for resampling backward propagation primitive.

Parameters:: resampling_desc - Output descriptor for a resampling primitive.; alg_kind - resamplinging algorithm kind: either #dnnl_resampling_nearest, or #dnnl_resampling_linear.; diff_src_desc - Diff source memory descriptor.; diff_dst_desc - Diff destination memory descriptor.; factors - Array of scaling factors for spatial dimension.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_resampling_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_resampling_backward_desc_init(dnnl_resampling_desc_t resampling_desc,
                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                   int alg_kind,
                                                                                   @Const
                                                                                   FloatBuffer factors,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_src_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_dst_desc)

dnnl_resampling_backward_desc_init

@Cast(value="dnnl_status_t")
public static int dnnl_resampling_backward_desc_init(dnnl_resampling_desc_t resampling_desc,
                                                                                   @Cast(value="dnnl_alg_kind_t")
                                                                                   int alg_kind,
                                                                                   @Const
                                                                                   float[] factors,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_src_desc,
                                                                                   @Const
                                                                                   dnnl_memory_desc_t diff_dst_desc)

dnnl_engine_get_count
```
@Cast(value="size_t")
public static long dnnl_engine_get_count(@Cast(value="dnnl_engine_kind_t")
                                                                int kind)
```
\} dnnl_api_resampling
\} dnnl_api_primitives
\addtogroup dnnl_api_engine \{
Returns the number of engines of a particular kind.

Parameters:

kind - Kind of engines to count.

Returns:

Count of the engines.

dnnl_engine_create

@Cast(value="dnnl_status_t")
public static int dnnl_engine_create(@ByPtrPtr
                                                                   dnnl_engine engine,
                                                                   @Cast(value="dnnl_engine_kind_t")
                                                                   int kind,
                                                                   @Cast(value="size_t")
                                                                   long index)

Creates an engine.

Parameters:: engine - Output engine.; kind - Engine kind.; index - Engine index that should be between 0 and the count of engines of the requested kind.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_engine_create

@Cast(value="dnnl_status_t")
public static int dnnl_engine_create(@Cast(value="dnnl_engine_t*")
                                                                   PointerPointer engine,
                                                                   @Cast(value="dnnl_engine_kind_t")
                                                                   int kind,
                                                                   @Cast(value="size_t")
                                                                   long index)

dnnl_engine_get_kind

@Cast(value="dnnl_status_t")
public static int dnnl_engine_get_kind(dnnl_engine engine,
                                                                     @Cast(value="dnnl_engine_kind_t*")
                                                                     IntPointer kind)

Returns the kind of an engine.

Parameters:: engine - Engine to query.; kind - Output engine kind.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_engine_get_kind

@Cast(value="dnnl_status_t")
public static int dnnl_engine_get_kind(dnnl_engine engine,
                                                                     @Cast(value="dnnl_engine_kind_t*")
                                                                     IntBuffer kind)

dnnl_engine_get_kind

@Cast(value="dnnl_status_t")
public static int dnnl_engine_get_kind(dnnl_engine engine,
                                                                     @Cast(value="dnnl_engine_kind_t*")
                                                                     int[] kind)

dnnl_engine_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_engine_destroy(dnnl_engine engine)
```
Destroys an engine.

Parameters:

engine - Engine to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_stream_attr_create

@Cast(value="dnnl_status_t")
public static int dnnl_stream_attr_create(@ByPtrPtr
                                                                        dnnl_stream_attr attr,
                                                                        @Cast(value="dnnl_engine_kind_t")
                                                                        int kind)

\} dnnl_api_engine

\addtogroup dnnl_api_stream \{

Creates execution stream attributes for a stream that runs on an engine of a particular kind.

Parameters:: attr - Output execution stream attributes.; kind - Target engine kind.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_stream_attr_create

@Cast(value="dnnl_status_t")
public static int dnnl_stream_attr_create(@Cast(value="dnnl_stream_attr_t*")
                                                                        PointerPointer attr,
                                                                        @Cast(value="dnnl_engine_kind_t")
                                                                        int kind)

dnnl_stream_attr_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_stream_attr_destroy(dnnl_stream_attr attr)
```
Destroys execution stream attributes.

Parameters:

attr - Execution stream attributes to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_stream_create

@Cast(value="dnnl_status_t")
public static int dnnl_stream_create(@ByPtrPtr
                                                                   dnnl_stream stream,
                                                                   dnnl_engine engine,
                                                                   @Cast(value="unsigned")
                                                                   int flags)

Creates an execution stream.

Parameters:: stream - Output execution stream.; engine - Engine to create the execution stream on.; flags - Stream behavior flags (@see dnnl_stream_flags_t).
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_stream_create

@Cast(value="dnnl_status_t")
public static int dnnl_stream_create(@Cast(value="dnnl_stream_t*")
                                                                   PointerPointer stream,
                                                                   dnnl_engine engine,
                                                                   @Cast(value="unsigned")
                                                                   int flags)

dnnl_stream_create_v2

@Cast(value="dnnl_status_t")
public static int dnnl_stream_create_v2(@ByPtrPtr
                                                                      dnnl_stream stream,
                                                                      dnnl_engine engine,
                                                                      @Cast(value="unsigned")
                                                                      int flags,
                                                                      @Const
                                                                      dnnl_stream_attr attr)

Creates an execution stream.

Parameters:: stream - Output execution stream.; engine - Engine to create the execution stream on.; flags - Stream behavior flags (@see dnnl_stream_flags_t).; attr - Stream attributes.
Returns:: #dnnl_success on success and a status describing the error otherwise.

dnnl_stream_create_v2

@Cast(value="dnnl_status_t")
public static int dnnl_stream_create_v2(@Cast(value="dnnl_stream_t*")
                                                                      PointerPointer stream,
                                                                      dnnl_engine engine,
                                                                      @Cast(value="unsigned")
                                                                      int flags,
                                                                      @Const
                                                                      dnnl_stream_attr attr)

dnnl_stream_wait
```
@Cast(value="dnnl_status_t")
public static int dnnl_stream_wait(dnnl_stream stream)
```
Waits for all primitives in the execution stream to finish computations.

Parameters:

stream - Execution stream.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_stream_destroy
```
@Cast(value="dnnl_status_t")
public static int dnnl_stream_destroy(dnnl_stream stream)
```
Destroys an execution stream.

Parameters:

stream - Execution stream to destroy.

Returns:

#dnnl_success on success and a status describing the error otherwise.

dnnl_get_primitive_cache_capacity
```
@Cast(value="dnnl_status_t")
public static int dnnl_get_primitive_cache_capacity(IntPointer _capacity)
```
\} dnnl_api_stream
\addtogroup dnnl_api_primitive_cache \{
Returns the number of primitives that can be held in the primitive cache at the same time.

Parameters:

capacity - Primitive cache capacity to query. Concurrently accessing \p capacity is safe.

Returns:

#dnnl_invalid_arguments/#dnnl::status::invalid_arguments if the \p capacity value is invalid, and #dnnl_success/#dnnl::status::success on success.

dnnl_get_primitive_cache_capacity

@Cast(value="dnnl_status_t")
public static int dnnl_get_primitive_cache_capacity(IntBuffer _capacity)

dnnl_get_primitive_cache_capacity

@Cast(value="dnnl_status_t")
public static int dnnl_get_primitive_cache_capacity(int[] _capacity)

dnnl_set_primitive_cache_capacity
```
@Cast(value="dnnl_status_t")
public static int dnnl_set_primitive_cache_capacity(int _capacity)
```
Sets a number of primitives that can be held in the primitive cache at a time.

Parameters:

capacity - Primitive cache capacity to set. If a new \p capacity is less than a number of primitives that the primitive cache already has then the excess entries will be evicted. Setting the \p capacity to 0 clears the primitive cache and disables it. Concurrently modifying \p capacity is safe.

Returns:

#dnnl_invalid_arguments/#dnnl::status::invalid_arguments if the \p capacity value is invalid, and #dnnl_success/#dnnl::status::success on success.

dnnl_set_verbose
```
@Cast(value="dnnl_status_t")
public static int dnnl_set_verbose(int level)
```
\} dnnl_api_primitive_cache
\addtogroup dnnl_api_service \{
Configures verbose output to stdout. \note Enabling verbose output affects performance. This setting overrides the DNNL_VERBOSE environment variable.

Parameters:

level - Verbosity level: - 0: no verbose output (default), - 1: primitive information at execution, - 2: primitive information at creation and execution.

Returns:

#dnnl_invalid_arguments/#dnnl::status::invalid_arguments if the \p level value is invalid, and #dnnl_success/#dnnl::status::success on success.

dnnl_set_jit_dump
```
@Cast(value="dnnl_status_t")
public static int dnnl_set_jit_dump(int enable)
```
Configures dumping of JIT-generated code. \note This setting overrides the DNNL_JIT_DUMP environment variable.

Parameters:

enable - Flag value. Set to 0 to disable and set to 1 to enable.

Returns:

#dnnl_invalid_arguments/#dnnl::status::invalid_arguments if the \p flag value is invalid, and #dnnl_success/#dnnl::status::success on success.

dnnl_version
```
@Const
public static dnnl_version_t dnnl_version()
```
Returns library version information.

Returns:

Pointer to a constant structure containing - major: major version number, - minor: minor version number, - patch: patch release number, - hash: git commit hash.

dnnl_set_jit_profiling_flags
```
@Cast(value="dnnl_status_t")
public static int dnnl_set_jit_profiling_flags(@Cast(value="unsigned")
                                                                             int flags)
```
Sets library profiling flags. The flags define which profilers are supported. \note This setting overrides DNNL_JIT_PROFILE environment variable.

Parameters:

flags - Profiling flags that can contain the following bits: - \ref DNNL_JIT_PROFILE_VTUNE -- integration with VTune Amplifier (on by default) - \ref DNNL_JIT_PROFILE_LINUX_JITDUMP -- produce Linux-specific jit-pid.dump output (off by default). The location of the output is controlled via JITDUMPDIR environment variable or via dnnl_set_jit_profiling_jitdumpdir() function. - \ref DNNL_JIT_PROFILE_LINUX_PERFMAP -- produce Linux-specific perf-pid.map output (off by default). The output is always placed into /tmp. Passing \ref DNNL_JIT_PROFILE_NONE disables profiling completely.

Returns:

#dnnl_invalid_arguments/#dnnl::status::invalid_arguments if the \p flags value is invalid, and #dnnl_success/#dnnl::status::success on success.

See Also:

dev_guide_profilers

dnnl_set_jit_profiling_jitdumpdir
```
@Cast(value="dnnl_status_t")
public static int dnnl_set_jit_profiling_jitdumpdir(@Cast(value="const char*")
                                                                                  BytePointer dir)
```
Sets JIT dump output path. Only applicable to Linux and is only used when profiling flags have DNNL_JIT_PROFILE_LINUX_PERF bit set. After the first JIT kernel is generated, the jitdump output will be placed into temporary directory created using the mkdtemp template 'dir/.debug/jit/dnnl.XXXXXX'.

Parameters:

dir - JIT dump output path.

Returns:

#dnnl_success/#dnnl::status::success if the output directory was set correctly and an error status otherwise.

See Also:

dev_guide_profilers \note This setting overrides JITDUMPDIR environment variable. If JITDUMPDIR is not set, and this function is never called, the path defaults to HOME. Passing NULL reverts the value to default. \note The directory is accessed only when the first JIT kernel is being created. JIT profiling will be disabled in case of any errors accessing or creating this directory.

dnnl_set_jit_profiling_jitdumpdir

@Cast(value="dnnl_status_t")
public static int dnnl_set_jit_profiling_jitdumpdir(String dir)

dnnl_set_max_cpu_isa
```
@Cast(value="dnnl_status_t")
public static int dnnl_set_max_cpu_isa(@Cast(value="dnnl_cpu_isa_t")
                                                                     int isa)
```
Sets the maximal ISA the library can dispatch to on the CPU. See #dnnl_cpu_isa_t and #dnnl::cpu_isa for the list of the values accepted by the C and C++ API functions respectively. This function has effect only before the first JIT kernel is generated and will return an error afterwards. This function overrides the DNNL_MAX_CPU_ISA environment variable. The environment variable can be set to the desired maximal ISA name in upper case and with dnnl_cpu_isa prefix removed. For example: DNNL_MAX_CPU_ISA=AVX2. \note The ISAs are only partially ordered: - SSE41 < AVX < AVX2, - AVX2 < AVX512_MIC < AVX512_MIC_4OPS, - AVX2 < AVX512_CORE < AVX512_CORE_VNNI < AVX512_CORE_BF16 < AVX512_CORE_AMX.

Parameters:

isa - Maximal ISA the library should dispatch to. Pass #dnnl_cpu_isa_all/#dnnl::cpu_isa::all to remove ISA restrictions (except for ISAs with initial support in the library).

Returns:

#dnnl_success/#dnnl::status::success on success and a #dnnl_invalid_arguments/#dnnl::status::invalid_arguments if the \p isa parameter is invalid or the ISA cannot be changed at this time.

See Also:

dev_guide_cpu_dispatcher_control for more details

dnnl_get_effective_cpu_isa
```
@Cast(value="dnnl_cpu_isa_t")
public static int dnnl_get_effective_cpu_isa()
```
Gets the maximal ISA the library can dispatch to on the CPU. See #dnnl_cpu_isa_t and #dnnl::cpu_isa for the list of the values returned by the C and C++ API functions respectively.

Returns:

#dnnl_cpu_isa_t value reflecting the maximal ISA the library may dispatch to.

See Also:

dev_guide_cpu_dispatcher_control for more details

dnnl_sgemm

@Cast(value="dnnl_status_t")
public static int dnnl_sgemm(@Cast(value="char")
                                                           byte transa,
                                                           @Cast(value="char")
                                                           byte transb,
                                                           @Cast(value="dnnl_dim_t")
                                                           long M,
                                                           @Cast(value="dnnl_dim_t")
                                                           long N,
                                                           @Cast(value="dnnl_dim_t")
                                                           long K,
                                                           float alpha,
                                                           @Const
                                                           FloatPointer A,
                                                           @Cast(value="dnnl_dim_t")
                                                           long lda,
                                                           @Const
                                                           FloatPointer B,
                                                           @Cast(value="dnnl_dim_t")
                                                           long ldb,
                                                           float beta,
                                                           FloatPointer C,
                                                           @Cast(value="dnnl_dim_t")
                                                           long ldc)

\} dnnl_api_service

\addtogroup dnnl_api_blas \{

Performs single-precision matrix-matrix multiply. The operation is defined as: C := alpha * op( A ) * op( B ) + beta * C where - op( X ) = X or op( X ) = X**T, - alpha and beta are scalars, and - A, B, and C are matrices: - op( A ) is an MxK matrix, - op( B ) is an KxN matrix, - C is an MxN matrix. The matrices are assumed to be stored in row-major order (the elements in each of the matrix rows are contiguous in memory). \note This API does not support XERBLA. Instead, unlike the standard BLAS functions, this one returns a dnnl_status_t value to allow error handling.

Parameters:: transa - Transposition flag for matrix A: 'N' or 'n' means A is not transposed, and 'T' or 't' means that A is transposed.; transb - Transposition flag for matrix B: 'N' or 'n' means B is not transposed, and 'T' or 't' means that B is transposed.; M - The M dimension.; N - The N dimension.; K - The K dimension.; alpha - The alpha parameter that is used to scale the product of matrices A and B.; A - A pointer to the A matrix data.; lda - The leading dimension for the matrix A.; B - A pointer to the B matrix data.; ldb - The leading dimension for the matrix B.; beta - The beta parameter that is used to scale the matrix C.; C - A pointer to the C matrix data.; ldc - The leading dimension for the matrix C.
Returns:: #dnnl_success/#dnnl::status::success on success and a status describing the error otherwise.

dnnl_sgemm

@Cast(value="dnnl_status_t")
public static int dnnl_sgemm(@Cast(value="char")
                                                           byte transa,
                                                           @Cast(value="char")
                                                           byte transb,
                                                           @Cast(value="dnnl_dim_t")
                                                           long M,
                                                           @Cast(value="dnnl_dim_t")
                                                           long N,
                                                           @Cast(value="dnnl_dim_t")
                                                           long K,
                                                           float alpha,
                                                           @Const
                                                           FloatBuffer A,
                                                           @Cast(value="dnnl_dim_t")
                                                           long lda,
                                                           @Const
                                                           FloatBuffer B,
                                                           @Cast(value="dnnl_dim_t")
                                                           long ldb,
                                                           float beta,
                                                           FloatBuffer C,
                                                           @Cast(value="dnnl_dim_t")
                                                           long ldc)

dnnl_sgemm

@Cast(value="dnnl_status_t")
public static int dnnl_sgemm(@Cast(value="char")
                                                           byte transa,
                                                           @Cast(value="char")
                                                           byte transb,
                                                           @Cast(value="dnnl_dim_t")
                                                           long M,
                                                           @Cast(value="dnnl_dim_t")
                                                           long N,
                                                           @Cast(value="dnnl_dim_t")
                                                           long K,
                                                           float alpha,
                                                           @Const
                                                           float[] A,
                                                           @Cast(value="dnnl_dim_t")
                                                           long lda,
                                                           @Const
                                                           float[] B,
                                                           @Cast(value="dnnl_dim_t")
                                                           long ldb,
                                                           float beta,
                                                           float[] C,
                                                           @Cast(value="dnnl_dim_t")
                                                           long ldc)

dnnl_gemm_u8s8s32

@Cast(value="dnnl_status_t")
public static int dnnl_gemm_u8s8s32(@Cast(value="char")
                                                                  byte transa,
                                                                  @Cast(value="char")
                                                                  byte transb,
                                                                  @Cast(value="char")
                                                                  byte offsetc,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long M,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long N,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long K,
                                                                  float alpha,
                                                                  @Cast(value="const uint8_t*")
                                                                  BytePointer A,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long lda,
                                                                  @Cast(value="uint8_t")
                                                                  byte ao,
                                                                  @Const
                                                                  BytePointer B,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldb,
                                                                  byte bo,
                                                                  float beta,
                                                                  IntPointer C,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldc,
                                                                  @Const
                                                                  IntPointer co)

Performs integer matrix-matrix multiply on 8-bit unsigned matrix A, 8-bit signed matrix B, and 32-bit signed resulting matrix C. The operation is defined as: C := alpha * (op(A) - A_offset) * (op(B) - B_offset) + beta * C + C_offset where - op( X ) = X or op( X ) = X**T, - alpha and beta are scalars, and - A, B, and C are matrices: - op( A ) is an MxK matrix, - op( B ) is an KxN matrix, - C is an MxN matrix. - A_offset is an MxK matrix with every element equal the ao value, - B_offset is an KxN matrix with every element equal the bo value, - C_offset is an MxN matrix which is defined by the co array of size len: - if offsetc = F: the len must be at least 1, - if offsetc = C: the len must be at least max(1, m), - if offsetc = R: the len must be at least max(1, n), The matrices are assumed to be stored in row-major order (the elements in each of the matrix rows are contiguous in memory). \note This API does not support XERBLA. Instead, unlike the standard BLAS functions, this one returns a dnnl_status_t value to allow error handling. \warning On some architectures saturation may happen during intermediate computations, which would lead to unexpected results. For more details, refer to \ref dev_guide_int8_computations.

Parameters:: transa - Transposition flag for matrix A: 'N' or 'n' means A is not transposed, and 'T' or 't' means that A is transposed.; transb - Transposition flag for matrix B: 'N' or 'n' means B is not transposed, and 'T' or 't' means that B is transposed.; offsetc - Flag specifying how offsets should be applied to matrix C: - 'F' means that the same offset will be applied to each element of the matrix C, - 'C' means that individual offset will be applied to each element within each column, - 'R' means that individual offset will be applied to each element within each row.; M - The M dimension.; N - The N dimension.; K - The K dimension.; alpha - The alpha parameter that is used to scale the product of matrices A and B.; A - A pointer to the A matrix data.; lda - The leading dimension for the matrix A.; ao - The offset value for the matrix A.; B - A pointer to the B matrix data.; ldb - The leading dimension for the matrix B.; bo - The offset value for the matrix B.; beta - The beta parameter that is used to scale the matrix C.; C - A pointer to the C matrix data.; ldc - The leading dimension for the matrix C.; co - An array of offset values for the matrix C. The number of elements in the array depends on the value of \p offsetc.
Returns:: #dnnl_success/#dnnl::status::success on success and a status describing the error otherwise.

dnnl_gemm_u8s8s32

@Cast(value="dnnl_status_t")
public static int dnnl_gemm_u8s8s32(@Cast(value="char")
                                                                  byte transa,
                                                                  @Cast(value="char")
                                                                  byte transb,
                                                                  @Cast(value="char")
                                                                  byte offsetc,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long M,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long N,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long K,
                                                                  float alpha,
                                                                  @Cast(value="const uint8_t*")
                                                                  ByteBuffer A,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long lda,
                                                                  @Cast(value="uint8_t")
                                                                  byte ao,
                                                                  @Const
                                                                  ByteBuffer B,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldb,
                                                                  byte bo,
                                                                  float beta,
                                                                  IntBuffer C,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldc,
                                                                  @Const
                                                                  IntBuffer co)

dnnl_gemm_u8s8s32

@Cast(value="dnnl_status_t")
public static int dnnl_gemm_u8s8s32(@Cast(value="char")
                                                                  byte transa,
                                                                  @Cast(value="char")
                                                                  byte transb,
                                                                  @Cast(value="char")
                                                                  byte offsetc,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long M,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long N,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long K,
                                                                  float alpha,
                                                                  @Cast(value="const uint8_t*")
                                                                  byte[] A,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long lda,
                                                                  @Cast(value="uint8_t")
                                                                  byte ao,
                                                                  @Const
                                                                  byte[] B,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldb,
                                                                  byte bo,
                                                                  float beta,
                                                                  int[] C,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldc,
                                                                  @Const
                                                                  int[] co)

dnnl_gemm_s8s8s32

@Cast(value="dnnl_status_t")
public static int dnnl_gemm_s8s8s32(@Cast(value="char")
                                                                  byte transa,
                                                                  @Cast(value="char")
                                                                  byte transb,
                                                                  @Cast(value="char")
                                                                  byte offsetc,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long M,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long N,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long K,
                                                                  float alpha,
                                                                  @Const
                                                                  BytePointer A,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long lda,
                                                                  byte ao,
                                                                  @Const
                                                                  BytePointer B,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldb,
                                                                  byte bo,
                                                                  float beta,
                                                                  IntPointer C,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldc,
                                                                  @Const
                                                                  IntPointer co)

Performs integer matrix-matrix multiply on 8-bit signed matrix A, 8-bit signed matrix B, and 32-bit signed resulting matrix C. The operation is defined as: C := alpha * (op(A) - A_offset) * (op(B) - B_offset) + beta * C + C_offset where - op( X ) = X or op( X ) = X**T, - alpha and beta are scalars, and - A, B, and C are matrices: - op( A ) is an MxK matrix, - op( B ) is an KxN matrix, - C is an MxN matrix. - A_offset is an MxK matrix with every element equal the ao value, - B_offset is an KxN matrix with every element equal the bo value, - C_offset is an MxN matrix which is defined by the co array of size len: - if offsetc = F: the len must be at least 1, - if offsetc = C: the len must be at least max(1, m), - if offsetc = R: the len must be at least max(1, n), The matrices are assumed to be stored in row-major order (the elements in each of the matrix rows are contiguous in memory). \note This API does not support XERBLA. Instead, unlike the standard BLAS functions, this one returns a dnnl_status_t value to allow error handling. \warning On some architectures saturation may happen during intermediate computations, which would lead to unexpected results. For more details, refer to \ref dev_guide_int8_computations.

Parameters:: transa - Transposition flag for matrix A: 'N' or 'n' means A is not transposed, and 'T' or 't' means that A is transposed.; transb - Transposition flag for matrix B: 'N' or 'n' means B is not transposed, and 'T' or 't' means that B is transposed.; offsetc - Flag specifying how offsets should be applied to matrix C: - 'F' means that the same offset will be applied to each element of the matrix C, - 'C' means that individual offset will be applied to each element within each column, - 'R' means that individual offset will be applied to each element within each row.; M - The M dimension.; N - The N dimension.; K - The K dimension.; alpha - The alpha parameter that is used to scale the product of matrices A and B.; A - A pointer to the A matrix data.; lda - The leading dimension for the matrix A.; ao - The offset value for the matrix A.; B - A pointer to the B matrix data.; ldb - The leading dimension for the matrix B.; bo - The offset value for the matrix B.; beta - The beta parameter that is used to scale the matrix C.; C - A pointer to the C matrix data.; ldc - The leading dimension for the matrix C.; co - An array of offset values for the matrix C. The number of elements in the array depends on the value of \p offsetc.
Returns:: #dnnl_success/#dnnl::status::success on success and a status describing the error otherwise.

dnnl_gemm_s8s8s32

@Cast(value="dnnl_status_t")
public static int dnnl_gemm_s8s8s32(@Cast(value="char")
                                                                  byte transa,
                                                                  @Cast(value="char")
                                                                  byte transb,
                                                                  @Cast(value="char")
                                                                  byte offsetc,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long M,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long N,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long K,
                                                                  float alpha,
                                                                  @Const
                                                                  ByteBuffer A,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long lda,
                                                                  byte ao,
                                                                  @Const
                                                                  ByteBuffer B,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldb,
                                                                  byte bo,
                                                                  float beta,
                                                                  IntBuffer C,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldc,
                                                                  @Const
                                                                  IntBuffer co)

dnnl_gemm_s8s8s32

@Cast(value="dnnl_status_t")
public static int dnnl_gemm_s8s8s32(@Cast(value="char")
                                                                  byte transa,
                                                                  @Cast(value="char")
                                                                  byte transb,
                                                                  @Cast(value="char")
                                                                  byte offsetc,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long M,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long N,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long K,
                                                                  float alpha,
                                                                  @Const
                                                                  byte[] A,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long lda,
                                                                  byte ao,
                                                                  @Const
                                                                  byte[] B,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldb,
                                                                  byte bo,
                                                                  float beta,
                                                                  int[] C,
                                                                  @Cast(value="dnnl_dim_t")
                                                                  long ldc,
                                                                  @Const
                                                                  int[] co)

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_primitive_kind_t")
public static int convert_to_c(primitive.kind akind)
```
Converts primitive kind enum value from C++ API to C API type.

Parameters:

akind - C++ API primitive kind enum value.

Returns:

Corresponding C API primitive kind enum value.

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_scratchpad_mode_t")
public static int convert_to_c(dnnl.scratchpad_mode mode)
```
Converts a scratchpad mode enum value from C++ API to C API type.

Parameters:

mode - C++ API scratchpad mode enum value.

Returns:

Corresponding C API scratchpad mode enum value.

convert_to_c

@Namespace(value="dnnl")
 @Cast(value="dnnl_scratchpad_mode_t")
public static int convert_to_c(@Cast(value="dnnl::scratchpad_mode")
                                                                                                 int mode)

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_prop_kind_t")
public static int convert_to_c(dnnl.prop_kind akind)
```
Converts propagation kind enum value from C++ API to C API type.

Parameters:

akind - C++ API propagation kind enum value.

Returns:

Corresponding C API propagation kind enum value.

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_alg_kind_t")
public static int convert_to_c(dnnl.algorithm aalgorithm)
```
Converts algorithm kind enum value from C++ API to C API type.

Parameters:

aalgorithm - C++ API algorithm kind enum value.

Returns:

Corresponding C API algorithm kind enum value.

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_normalization_flags_t")
public static int convert_to_c(dnnl.normalization_flags flags)
```
Converts normalization flags enum value from C++ API to C API type.

Parameters:

flags - C++ API normalization flags enum value.

Returns:

Corresponding C API normalization flags enum value.

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_rnn_flags_t")
public static int convert_to_c(dnnl.rnn_flags flags)
```
Converts RNN cell flags enum value from C++ API to C API type.

Parameters:

flags - C++ API RNN cell flags enum value.

Returns:

Corresponding C API RNN cell flags enum value.

or

@Namespace(value="dnnl")
 @Name(value="operator |")
public static dnnl.normalization_flags or(dnnl.normalization_flags lhs,
                                                                                                dnnl.normalization_flags rhs)

or

@Namespace(value="dnnl")
 @Name(value="operator |")
 @Cast(value="dnnl::normalization_flags")
public static int or(@Cast(value="dnnl::normalization_flags")
                                                                                                                      int lhs,
                                                                                                                      @Cast(value="dnnl::normalization_flags")
                                                                                                                      int rhs)

and

@Namespace(value="dnnl")
 @Name(value="operator &")
public static dnnl.normalization_flags and(dnnl.normalization_flags lhs,
                                                                                                 dnnl.normalization_flags rhs)

and

@Namespace(value="dnnl")
 @Name(value="operator &")
 @Cast(value="dnnl::normalization_flags")
public static int and(@Cast(value="dnnl::normalization_flags")
                                                                                                                       int lhs,
                                                                                                                       @Cast(value="dnnl::normalization_flags")
                                                                                                                       int rhs)

xor

@Namespace(value="dnnl")
 @Name(value="operator ^")
public static dnnl.normalization_flags xor(dnnl.normalization_flags lhs,
                                                                                                 dnnl.normalization_flags rhs)

xor

@Namespace(value="dnnl")
 @Name(value="operator ^")
 @Cast(value="dnnl::normalization_flags")
public static int xor(@Cast(value="dnnl::normalization_flags")
                                                                                                                       int lhs,
                                                                                                                       @Cast(value="dnnl::normalization_flags")
                                                                                                                       int rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::normalization_flags*")
public static IntPointer orPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                           IntPointer lhs,
                                                                                                                                           dnnl.normalization_flags rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::normalization_flags*")
public static IntBuffer orPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                          IntBuffer lhs,
                                                                                                                                          @Cast(value="dnnl::normalization_flags")
                                                                                                                                          int rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::normalization_flags*")
public static int[] orPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                      int[] lhs,
                                                                                                                                      dnnl.normalization_flags rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::normalization_flags*")
public static IntPointer orPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                           IntPointer lhs,
                                                                                                                                           @Cast(value="dnnl::normalization_flags")
                                                                                                                                           int rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::normalization_flags*")
public static IntBuffer orPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                          IntBuffer lhs,
                                                                                                                                          dnnl.normalization_flags rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::normalization_flags*")
public static int[] orPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                      int[] lhs,
                                                                                                                                      @Cast(value="dnnl::normalization_flags")
                                                                                                                                      int rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::normalization_flags*")
public static IntPointer andPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                            IntPointer lhs,
                                                                                                                                            dnnl.normalization_flags rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::normalization_flags*")
public static IntBuffer andPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                           IntBuffer lhs,
                                                                                                                                           @Cast(value="dnnl::normalization_flags")
                                                                                                                                           int rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::normalization_flags*")
public static int[] andPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                       int[] lhs,
                                                                                                                                       dnnl.normalization_flags rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::normalization_flags*")
public static IntPointer andPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                            IntPointer lhs,
                                                                                                                                            @Cast(value="dnnl::normalization_flags")
                                                                                                                                            int rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::normalization_flags*")
public static IntBuffer andPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                           IntBuffer lhs,
                                                                                                                                           dnnl.normalization_flags rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::normalization_flags*")
public static int[] andPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                       int[] lhs,
                                                                                                                                       @Cast(value="dnnl::normalization_flags")
                                                                                                                                       int rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::normalization_flags*")
public static IntPointer xorPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                            IntPointer lhs,
                                                                                                                                            dnnl.normalization_flags rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::normalization_flags*")
public static IntBuffer xorPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                           IntBuffer lhs,
                                                                                                                                           @Cast(value="dnnl::normalization_flags")
                                                                                                                                           int rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::normalization_flags*")
public static int[] xorPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                       int[] lhs,
                                                                                                                                       dnnl.normalization_flags rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::normalization_flags*")
public static IntPointer xorPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                            IntPointer lhs,
                                                                                                                                            @Cast(value="dnnl::normalization_flags")
                                                                                                                                            int rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::normalization_flags*")
public static IntBuffer xorPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                           IntBuffer lhs,
                                                                                                                                           dnnl.normalization_flags rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::normalization_flags*")
public static int[] xorPut(@ByRef @Cast(value="dnnl::normalization_flags*")
                                                                                                                                       int[] lhs,
                                                                                                                                       @Cast(value="dnnl::normalization_flags")
                                                                                                                                       int rhs)

not

@Namespace(value="dnnl")
 @Name(value="operator ~")
public static dnnl.normalization_flags not(dnnl.normalization_flags rhs)

not

@Namespace(value="dnnl")
 @Name(value="operator ~")
 @Cast(value="dnnl::normalization_flags")
public static int not(@Cast(value="dnnl::normalization_flags")
                                                                                                                       int rhs)

or

@Namespace(value="dnnl")
 @Name(value="operator |")
public static dnnl.rnn_flags or(dnnl.rnn_flags lhs,
                                                                                      dnnl.rnn_flags rhs)

and

@Namespace(value="dnnl")
 @Name(value="operator &")
public static dnnl.rnn_flags and(dnnl.rnn_flags lhs,
                                                                                       dnnl.rnn_flags rhs)

xor

@Namespace(value="dnnl")
 @Name(value="operator ^")
public static dnnl.rnn_flags xor(dnnl.rnn_flags lhs,
                                                                                       dnnl.rnn_flags rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::rnn_flags*")
public static IntPointer orPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                                 IntPointer lhs,
                                                                                                                                 dnnl.rnn_flags rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::rnn_flags*")
public static int[] orPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                            int[] lhs,
                                                                                                                            dnnl.rnn_flags rhs)

orPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator |=")
 @Cast(value="dnnl::rnn_flags*")
public static IntBuffer orPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                                IntBuffer lhs,
                                                                                                                                dnnl.rnn_flags rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::rnn_flags*")
public static IntPointer andPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                                  IntPointer lhs,
                                                                                                                                  dnnl.rnn_flags rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::rnn_flags*")
public static int[] andPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                             int[] lhs,
                                                                                                                             dnnl.rnn_flags rhs)

andPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator &=")
 @Cast(value="dnnl::rnn_flags*")
public static IntBuffer andPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                                 IntBuffer lhs,
                                                                                                                                 dnnl.rnn_flags rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::rnn_flags*")
public static IntPointer xorPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                                  IntPointer lhs,
                                                                                                                                  dnnl.rnn_flags rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::rnn_flags*")
public static int[] xorPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                             int[] lhs,
                                                                                                                             dnnl.rnn_flags rhs)

xorPut

@Namespace(value="dnnl")
 @ByRef
 @Name(value="operator ^=")
 @Cast(value="dnnl::rnn_flags*")
public static IntBuffer xorPut(@ByRef @Cast(value="dnnl::rnn_flags*")
                                                                                                                                 IntBuffer lhs,
                                                                                                                                 dnnl.rnn_flags rhs)

not

@Namespace(value="dnnl")
 @Name(value="operator ~")
public static dnnl.rnn_flags not(dnnl.rnn_flags rhs)

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_rnn_direction_t")
public static int convert_to_c(dnnl.rnn_direction dir)
```
Converts RNN direction enum value from C++ API to C API type.

Parameters:

dir - C++ API RNN direction enum value.

Returns:

Corresponding C API RNN direction enum value.

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_query_t")
public static int convert_to_c(dnnl.query aquery)
```
Converts query enum value from C++ API to C API type.

Parameters:

aquery - C++ API query enum value.

Returns:

Corresponding C API query enum value.

convert_to_c
```
@Namespace(value="dnnl")
 @Cast(value="dnnl_engine_kind_t")
public static int convert_to_c(engine.kind akind)
```
Converts engine kind enum value from C++ API to C API type.

Parameters:

akind - C++ API engine kind enum value.

Returns:

Corresponding C API engine kind enum value.

or

@Namespace(value="dnnl")
 @Name(value="operator |")
public static stream.flags or(stream.flags lhs,
                                                                                    stream.flags rhs)

\} dnnl_api_engine

\addtogroup dnnl_api_stream Stream An encapsulation of execution context tied to a particular engine.

See Also:: dev_guide_basic_concepts \{
\cond DO_NOT_DOCUMENT_THIS

and

@Namespace(value="dnnl")
 @Name(value="operator &")
public static stream.flags and(stream.flags lhs,
                                                                                     stream.flags rhs)

xor

@Namespace(value="dnnl")
 @Name(value="operator ^")
public static stream.flags xor(stream.flags lhs,
                                                                                     stream.flags rhs)

orPut

@Namespace(value="dnnl")
 @Name(value="operator |=")
public static stream.flags orPut(stream.flags lhs,
                                                                                        stream.flags rhs)

andPut

@Namespace(value="dnnl")
 @Name(value="operator &=")
public static stream.flags andPut(stream.flags lhs,
                                                                                         stream.flags rhs)

xorPut

@Namespace(value="dnnl")
 @Name(value="operator ^=")
public static stream.flags xorPut(stream.flags lhs,
                                                                                         stream.flags rhs)

not

@Namespace(value="dnnl")
 @Name(value="operator ~")
public static stream.flags not(stream.flags rhs)

equals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator ==")
public static boolean equals(@Cast(value="dnnl_data_type_t")
                                                                                                          int a,
                                                                                                          memory.data_type b)

notEquals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator !=")
public static boolean notEquals(@Cast(value="dnnl_data_type_t")
                                                                                                             int a,
                                                                                                             memory.data_type b)

equals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator ==")
public static boolean equals(memory.data_type a,
                                                                                                          @Cast(value="dnnl_data_type_t")
                                                                                                          int b)

notEquals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator !=")
public static boolean notEquals(memory.data_type a,
                                                                                                             @Cast(value="dnnl_data_type_t")
                                                                                                             int b)

equals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator ==")
public static boolean equals(@Cast(value="dnnl_format_tag_t")
                                                                                                          int a,
                                                                                                          memory.format_tag b)

notEquals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator !=")
public static boolean notEquals(@Cast(value="dnnl_format_tag_t")
                                                                                                             int a,
                                                                                                             memory.format_tag b)

equals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator ==")
public static boolean equals(memory.format_tag a,
                                                                                                          @Cast(value="dnnl_format_tag_t")
                                                                                                          int b)

notEquals

@Namespace(value="dnnl")
 @Cast(value="bool")
 @Name(value="operator !=")
public static boolean notEquals(memory.format_tag a,
                                                                                                             @Cast(value="dnnl_format_tag_t")
                                                                                                             int b)

convert_to_c

@Namespace(value="dnnl")
 @StdVector
public static dnnl_memory_desc_t convert_to_c(@StdVector
                                                                                     memory.desc mems)

\} dnnl_api_reorder

\addtogroup dnnl_api_concat Concat A primitive to concatenate data by arbitrary dimension.

See Also:: dev_guide_concat in developer guide \{
\cond DO_NOT_DOCUMENT_THIS

set_verbose

@Namespace(value="dnnl")
public static dnnl.status set_verbose(int level)

\copydoc dnnl_set_verbose()

version

@Namespace(value="dnnl")
 @Cast(value="const dnnl::version_t*")
public static dnnl_version_t version()

\copydoc dnnl_version()

set_jit_dump

@Namespace(value="dnnl")
public static dnnl.status set_jit_dump(int enable)

\copydoc dnnl_set_jit_dump()

set_jit_profiling_flags

@Namespace(value="dnnl")
public static dnnl.status set_jit_profiling_flags(@Cast(value="unsigned")
                                                                            int flags)

\copydoc dnnl_set_jit_profiling_flags()

set_jit_profiling_jitdumpdir

@Namespace(value="dnnl")
public static dnnl.status set_jit_profiling_jitdumpdir(@StdString
                                                                                 BytePointer dir)

\copydoc dnnl_set_jit_profiling_jitdumpdir()

set_jit_profiling_jitdumpdir

@Namespace(value="dnnl")
 @Cast(value="dnnl::status")
public static int set_jit_profiling_jitdumpdir(@StdString
                                                                                                       String dir)

set_max_cpu_isa

@Namespace(value="dnnl")
public static dnnl.status set_max_cpu_isa(dnnl.cpu_isa isa)

\copydoc dnnl_set_max_cpu_isa()

set_max_cpu_isa

@Namespace(value="dnnl")
 @Cast(value="dnnl::status")
public static int set_max_cpu_isa(@Cast(value="dnnl::cpu_isa")
                                                                                          int isa)

get_effective_cpu_isa

@Namespace(value="dnnl")
public static dnnl.cpu_isa get_effective_cpu_isa()

\copydoc dnnl_get_effective_cpu_isa()

get_primitive_cache_capacity
```
@Namespace(value="dnnl")
public static int get_primitive_cache_capacity()
```
\} dnnl_api_service
\addtogroup dnnl_api_primitive_cache Primitive Cache A set of functions that provide primitive cache control. \{
Returns the number of primitives that can be held in the primitive cache at the same time.

set_primitive_cache_capacity

@Namespace(value="dnnl")
public static void set_primitive_cache_capacity(int _capacity)

\copydoc dnnl_set_primitive_cache_capacity(int capacity)

sgemm

@Namespace(value="dnnl")
public static dnnl.status sgemm(@Cast(value="char")
                                                          byte transa,
                                                          @Cast(value="char")
                                                          byte transb,
                                                          @Cast(value="dnnl_dim_t")
                                                          long M,
                                                          @Cast(value="dnnl_dim_t")
                                                          long N,
                                                          @Cast(value="dnnl_dim_t")
                                                          long K,
                                                          float alpha,
                                                          @Const
                                                          FloatPointer A,
                                                          @Cast(value="dnnl_dim_t")
                                                          long lda,
                                                          @Const
                                                          FloatPointer B,
                                                          @Cast(value="dnnl_dim_t")
                                                          long ldb,
                                                          float beta,
                                                          FloatPointer C,
                                                          @Cast(value="dnnl_dim_t")
                                                          long ldc)

\} dnnl_api_primitive_cache

\addtogroup dnnl_api_blas BLAS functions A subset of Basic Linear Algebra (BLAS) functions that perform matrix-matrix multiplication. \{

\copydoc dnnl_sgemm()

sgemm

@Namespace(value="dnnl")
 @Cast(value="dnnl::status")
public static int sgemm(@Cast(value="char")
                                                                                byte transa,
                                                                                @Cast(value="char")
                                                                                byte transb,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long M,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long N,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long K,
                                                                                float alpha,
                                                                                @Const
                                                                                FloatBuffer A,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long lda,
                                                                                @Const
                                                                                FloatBuffer B,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long ldb,
                                                                                float beta,
                                                                                FloatBuffer C,
                                                                                @Cast(value="dnnl_dim_t")
                                                                                long ldc)

sgemm

@Namespace(value="dnnl")
public static dnnl.status sgemm(@Cast(value="char")
                                                          byte transa,
                                                          @Cast(value="char")
                                                          byte transb,
                                                          @Cast(value="dnnl_dim_t")
                                                          long M,
                                                          @Cast(value="dnnl_dim_t")
                                                          long N,
                                                          @Cast(value="dnnl_dim_t")
                                                          long K,
                                                          float alpha,
                                                          @Const
                                                          float[] A,
                                                          @Cast(value="dnnl_dim_t")
                                                          long lda,
                                                          @Const
                                                          float[] B,
                                                          @Cast(value="dnnl_dim_t")
                                                          long ldb,
                                                          float beta,
                                                          float[] C,
                                                          @Cast(value="dnnl_dim_t")
                                                          long ldc)

gemm_u8s8s32

@Namespace(value="dnnl")
public static dnnl.status gemm_u8s8s32(@Cast(value="char")
                                                                 byte transa,
                                                                 @Cast(value="char")
                                                                 byte transb,
                                                                 @Cast(value="char")
                                                                 byte offsetc,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long M,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long N,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long K,
                                                                 float alpha,
                                                                 @Cast(value="const uint8_t*")
                                                                 BytePointer A,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long lda,
                                                                 @Cast(value="uint8_t")
                                                                 byte ao,
                                                                 @Const
                                                                 BytePointer B,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldb,
                                                                 byte bo,
                                                                 float beta,
                                                                 IntPointer C,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldc,
                                                                 @Const
                                                                 IntPointer co)

\copydoc dnnl_gemm_u8s8s32()

gemm_u8s8s32

@Namespace(value="dnnl")
 @Cast(value="dnnl::status")
public static int gemm_u8s8s32(@Cast(value="char")
                                                                                       byte transa,
                                                                                       @Cast(value="char")
                                                                                       byte transb,
                                                                                       @Cast(value="char")
                                                                                       byte offsetc,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long M,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long N,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long K,
                                                                                       float alpha,
                                                                                       @Cast(value="const uint8_t*")
                                                                                       ByteBuffer A,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long lda,
                                                                                       @Cast(value="uint8_t")
                                                                                       byte ao,
                                                                                       @Const
                                                                                       ByteBuffer B,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long ldb,
                                                                                       byte bo,
                                                                                       float beta,
                                                                                       IntBuffer C,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long ldc,
                                                                                       @Const
                                                                                       IntBuffer co)

gemm_u8s8s32

@Namespace(value="dnnl")
public static dnnl.status gemm_u8s8s32(@Cast(value="char")
                                                                 byte transa,
                                                                 @Cast(value="char")
                                                                 byte transb,
                                                                 @Cast(value="char")
                                                                 byte offsetc,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long M,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long N,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long K,
                                                                 float alpha,
                                                                 @Cast(value="const uint8_t*")
                                                                 byte[] A,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long lda,
                                                                 @Cast(value="uint8_t")
                                                                 byte ao,
                                                                 @Const
                                                                 byte[] B,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldb,
                                                                 byte bo,
                                                                 float beta,
                                                                 int[] C,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldc,
                                                                 @Const
                                                                 int[] co)

gemm_s8s8s32

@Namespace(value="dnnl")
public static dnnl.status gemm_s8s8s32(@Cast(value="char")
                                                                 byte transa,
                                                                 @Cast(value="char")
                                                                 byte transb,
                                                                 @Cast(value="char")
                                                                 byte offsetc,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long M,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long N,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long K,
                                                                 float alpha,
                                                                 @Const
                                                                 BytePointer A,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long lda,
                                                                 byte ao,
                                                                 @Const
                                                                 BytePointer B,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldb,
                                                                 byte bo,
                                                                 float beta,
                                                                 IntPointer C,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldc,
                                                                 @Const
                                                                 IntPointer co)

\copydoc dnnl_gemm_s8s8s32()

gemm_s8s8s32

@Namespace(value="dnnl")
 @Cast(value="dnnl::status")
public static int gemm_s8s8s32(@Cast(value="char")
                                                                                       byte transa,
                                                                                       @Cast(value="char")
                                                                                       byte transb,
                                                                                       @Cast(value="char")
                                                                                       byte offsetc,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long M,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long N,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long K,
                                                                                       float alpha,
                                                                                       @Const
                                                                                       ByteBuffer A,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long lda,
                                                                                       byte ao,
                                                                                       @Const
                                                                                       ByteBuffer B,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long ldb,
                                                                                       byte bo,
                                                                                       float beta,
                                                                                       IntBuffer C,
                                                                                       @Cast(value="dnnl_dim_t")
                                                                                       long ldc,
                                                                                       @Const
                                                                                       IntBuffer co)

gemm_s8s8s32

@Namespace(value="dnnl")
public static dnnl.status gemm_s8s8s32(@Cast(value="char")
                                                                 byte transa,
                                                                 @Cast(value="char")
                                                                 byte transb,
                                                                 @Cast(value="char")
                                                                 byte offsetc,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long M,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long N,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long K,
                                                                 float alpha,
                                                                 @Const
                                                                 byte[] A,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long lda,
                                                                 byte ao,
                                                                 @Const
                                                                 byte[] B,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldb,
                                                                 byte bo,
                                                                 float beta,
                                                                 int[] C,
                                                                 @Cast(value="dnnl_dim_t")
                                                                 long ldc,
                                                                 @Const
                                                                 int[] co)

Class dnnl

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class org.bytedeco.dnnl.presets.dnnl

Methods inherited from class java.lang.Object

Field Detail

dnnl_success

dnnl_out_of_memory

dnnl_invalid_arguments

dnnl_unimplemented

dnnl_iterator_ends

dnnl_runtime_error

dnnl_not_required

dnnl_data_type_undef

dnnl_f16

dnnl_bf16

dnnl_f32

dnnl_s32

dnnl_s8

dnnl_u8

dnnl_format_kind_undef

dnnl_format_kind_any

dnnl_blocked

dnnl_format_kind_wino

dnnl_format_kind_rnn_packed

dnnl_format_tag_undef

dnnl_format_tag_any

dnnl_a

dnnl_ab

dnnl_abc

dnnl_abcd

dnnl_abcde

dnnl_abcdef

dnnl_abdc

dnnl_abdec

dnnl_acb

dnnl_acbde

dnnl_acbdef

dnnl_acdb

dnnl_acdeb

dnnl_ba

dnnl_bac

dnnl_bacd

dnnl_bacde

dnnl_bca

dnnl_bcda

dnnl_bcdea

dnnl_cba

dnnl_cdba

dnnl_dcab

dnnl_cdeba

dnnl_decab

dnnl_defcab

dnnl_Abc16a

dnnl_ABc16a16b

dnnl_ABc32a32b

dnnl_ABc4a4b

dnnl_aBc16b

dnnl_ABc16b16a

dnnl_Abc4a

dnnl_aBc32b

dnnl_aBc4b

dnnl_ABc4b16a4b

dnnl_ABc2b8a4b

dnnl_ABc16b16a4b

dnnl_ABc16b16a2b

dnnl_ABc4b4a

dnnl_ABc8a16b2a

dnnl_ABc8a8b

dnnl_ABc8a4b

dnnl_aBc8b

dnnl_ABc8b16a2b

dnnl_BAc8a16b2a

dnnl_ABc8b8a

dnnl_Abcd16a

dnnl_Abcd8a

dnnl_ABcd16a16b

dnnl_Abcd32a