org.bytedeco.dnnl

Class vanilla_rnn_forward.desc

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.dnnl.vanilla_rnn_forward.desc

All Implemented Interfaces:

AutoCloseable

Enclosing class:

vanilla_rnn_forward

@NoOffset
public static class vanilla_rnn_forward.desc
extends Pointer

Descriptor for a vanilla RNN forward propagation primitive.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
desc(dnnl.prop_kind prop_kind, dnnl.algorithm activation, dnnl.rnn_direction direction, memory.desc src_layer_desc, memory.desc src_iter_desc, memory.desc weights_layer_desc, memory.desc weights_iter_desc, memory.desc bias_desc, memory.desc dst_layer_desc, memory.desc dst_iter_desc)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm activation, dnnl.rnn_direction direction, memory.desc src_layer_desc, memory.desc src_iter_desc, memory.desc weights_layer_desc, memory.desc weights_iter_desc, memory.desc bias_desc, memory.desc dst_layer_desc, memory.desc dst_iter_desc, dnnl.rnn_flags flags, float alpha, float beta) Constructs a descriptor for a vanilla RNN forward propagation primitive.
desc(int prop_kind, int activation, int direction, memory.desc src_layer_desc, memory.desc src_iter_desc, memory.desc weights_layer_desc, memory.desc weights_iter_desc, memory.desc bias_desc, memory.desc dst_layer_desc, memory.desc dst_iter_desc)
desc(int prop_kind, int activation, int direction, memory.desc src_layer_desc, memory.desc src_iter_desc, memory.desc weights_layer_desc, memory.desc weights_iter_desc, memory.desc bias_desc, memory.desc dst_layer_desc, memory.desc dst_iter_desc, int flags, float alpha, float beta)
desc(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
dnnl_rnn_desc_t	data()
vanilla_rnn_forward.desc	data(dnnl_rnn_desc_t setter)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

desc

public desc(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm activation,
            dnnl.rnn_direction direction,
            @Const @ByRef
            memory.desc src_layer_desc,
            @Const @ByRef
            memory.desc src_iter_desc,
            @Const @ByRef
            memory.desc weights_layer_desc,
            @Const @ByRef
            memory.desc weights_iter_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_layer_desc,
            @Const @ByRef
            memory.desc dst_iter_desc,
            dnnl.rnn_flags flags,
            float alpha,
            float beta)

Constructs a descriptor for a vanilla RNN forward propagation primitive. The following arguments may 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. Inputs: - src_layer (#dnnl::primitive_desc_base::src_desc(0)) - src_iter (#dnnl::primitive_desc_base::src_desc(1)), if used - weights_layer (#dnnl::primitive_desc_base::weights_desc(0)) - weights_iter (#dnnl::primitive_desc_base::weights_desc(1)) - bias (#dnnl::primitive_desc_base::weights_desc(2)), if used Outputs: - dst_layer (#dnnl::primitive_desc_base::dst_desc(0)) - dst_iter (#dnnl::primitive_desc_base::dst_desc(1)), if used - workspace (#dnnl::primitive_desc_base::workspace_desc(0)), if \p prop_kind equals #dnnl::prop_kind::forward_training; must be queried for using \ref dnnl::primitive_desc_base::query_md() after a corresponding primitive descriptor is created \note All memory descriptors except \p src_iter_desc can be initialized with an #dnnl::memory::format_tag::any value of \p format_tag.

Parameters:

prop_kind - Propagation kind. Possible values are #dnnl::prop_kind::forward_training, and #dnnl::prop_kind::forward_inference.

activation - Activation kind. Possible values are #dnnl::algorithm::eltwise_relu, #dnnl::algorithm::eltwise_tanh, or #dnnl::algorithm::eltwise_logistic.

direction - RNN direction. See \ref dnnl::rnn_direction 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::algorithm::eltwise_relu.

beta - Unused.

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm activation,
            dnnl.rnn_direction direction,
            @Const @ByRef
            memory.desc src_layer_desc,
            @Const @ByRef
            memory.desc src_iter_desc,
            @Const @ByRef
            memory.desc weights_layer_desc,
            @Const @ByRef
            memory.desc weights_iter_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_layer_desc,
            @Const @ByRef
            memory.desc dst_iter_desc)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int activation,
            @Cast(value="dnnl::rnn_direction")
            int direction,
            @Const @ByRef
            memory.desc src_layer_desc,
            @Const @ByRef
            memory.desc src_iter_desc,
            @Const @ByRef
            memory.desc weights_layer_desc,
            @Const @ByRef
            memory.desc weights_iter_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_layer_desc,
            @Const @ByRef
            memory.desc dst_iter_desc,
            @Cast(value="dnnl::rnn_flags")
            int flags,
            float alpha,
            float beta)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int activation,
            @Cast(value="dnnl::rnn_direction")
            int direction,
            @Const @ByRef
            memory.desc src_layer_desc,
            @Const @ByRef
            memory.desc src_iter_desc,
            @Const @ByRef
            memory.desc weights_layer_desc,
            @Const @ByRef
            memory.desc weights_iter_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_layer_desc,
            @Const @ByRef
            memory.desc dst_iter_desc)

Method Detail

data

@ByRef
public dnnl_rnn_desc_t data()

data

public vanilla_rnn_forward.desc data(dnnl_rnn_desc_t setter)