org.bytedeco.dnnl

Class deconvolution_forward.desc

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.dnnl.deconvolution_forward.desc

All Implemented Interfaces:

AutoCloseable

Enclosing class:

deconvolution_forward

@NoOffset
public static class deconvolution_forward.desc
extends Pointer

Descriptor for a deconvolution 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 algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a deconvolution forward propagation primitive without bias.
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a dilated deconvolution forward propagation primitive without bias.
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a deconvolution forward propagation primitive with bias.
desc(dnnl.prop_kind prop_kind, dnnl.algorithm algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a dilated deconvolution forward propagation primitive with bias.
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)
desc(int prop_kind, int algorithm, memory.desc src_desc, memory.desc weights_desc, memory.desc bias_desc, memory.desc dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)
desc(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
dnnl_convolution_desc_t	data()
deconvolution_forward.desc	data(dnnl_convolution_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 algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

Constructs a descriptor for a deconvolution forward propagation primitive with bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - weights (#dnnl::primitive_desc_base::weights_desc(0)) - bias (#dnnl::primitive_desc_base::weights_desc(1)) Outputs: - dst (#dnnl::primitive_desc_base::dst_desc(0)) \note All the memory descriptors may be initialized with the #dnnl::memory::format_tag::any value of \p format_tag. 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:

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

algorithm - Deconvolution algorithm: #dnnl::algorithm::deconvolution_direct, and #dnnl::algorithm::deconvolution_winograd.

src_desc - Source memory descriptor.

weights_desc - Weights memory descriptor.

bias_desc - Bias memory descriptor. Passing zero memory descriptor disables the bias term.

dst_desc - Destination memory descriptor.

strides - Vector of strides for spatial dimension.

padding_l - Vector of padding values for low indices for each spatial dimension ([[front,] top,] left).

padding_r - Vector of padding values for high indices for each spatial dimension ([[back,] bottom,] right).

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

Constructs a descriptor for a deconvolution forward propagation primitive without bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - weights (#dnnl::primitive_desc_base::weights_desc(0)) Outputs: - dst (#dnnl::primitive_desc_base::dst_desc(0)) \note All the memory descriptors may be initialized with the #dnnl::memory::format_tag::any value of \p format_tag. 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:

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

algorithm - Deconvolution algorithm: #dnnl::algorithm::deconvolution_direct, and #dnnl::algorithm::deconvolution_winograd.

src_desc - Source memory descriptor.

weights_desc - Weights memory descriptor.

dst_desc - Destination memory descriptor.

strides - Vector of strides for spatial dimension.

padding_l - Vector of padding values for low indices for each spatial dimension ([[front,] top,] left).

padding_r - Vector of padding values for high indices for each spatial dimension ([[back,] bottom,] right).

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

Constructs a descriptor for a dilated deconvolution forward propagation primitive with bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - weights (#dnnl::primitive_desc_base::weights_desc(0)) - bias (#dnnl::primitive_desc_base::weights_desc(1)) Outputs: - dst (#dnnl::primitive_desc_base::dst_desc(0)) \note All the memory descriptors may be initialized with the #dnnl::memory::format_tag::any value of \p format_tag. 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:

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

algorithm - Deconvolution algorithm: #dnnl::algorithm::deconvolution_direct, and #dnnl::algorithm::deconvolution_winograd.

src_desc - Source memory descriptor.

weights_desc - Weights memory descriptor.

bias_desc - Bias memory descriptor. Passing zero memory descriptor disables the bias term.

dst_desc - Destination memory descriptor.

strides - Vector of strides for spatial dimension.

dilates - Dilations for each spatial dimension. A zero value means no dilation in the corresponding dimension.

padding_l - Vector of padding values for low indices for each spatial dimension ([[front,] top,] left).

padding_r - Vector of padding values for high indices for each spatial dimension ([[back,] bottom,] right).

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc bias_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

Constructs a descriptor for a dilated deconvolution forward propagation primitive without bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - weights (#dnnl::primitive_desc_base::weights_desc(0)) Outputs: - dst (#dnnl::primitive_desc_base::dst_desc(0)) \note All the memory descriptors may be initialized with the #dnnl::memory::format_tag::any value of \p format_tag. 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:

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

algorithm - Deconvolution algorithm: #dnnl::algorithm::deconvolution_direct, and #dnnl::algorithm::deconvolution_winograd.

src_desc - Source memory descriptor.

weights_desc - Weights memory descriptor.

dst_desc - Destination memory descriptor.

strides - Vector of strides for spatial dimension.

dilates - Dilations for each spatial dimension. A zero value means no dilation in the corresponding dimension.

padding_l - Vector of padding values for low indices for each spatial dimension ([[front,] top,] left).

padding_r - Vector of padding values for high indices for each spatial dimension ([[back,] bottom,] right).

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongPointer padding_r)

desc

public desc(dnnl.prop_kind prop_kind,
            dnnl.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            LongBuffer padding_r)

desc

public desc(@Cast(value="dnnl::prop_kind")
            int prop_kind,
            @Cast(value="dnnl::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc weights_desc,
            @Const @ByRef
            memory.desc dst_desc,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] strides,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] dilates,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_l,
            @Const @Cast(value={"dnnl_dim_t*","std::vector<dnnl_dim_t>&"}) @StdVector(value="dnnl_dim_t") @ByRef
            long[] padding_r)

Method Detail

data

@ByRef
 @Cast(value="dnnl_deconvolution_desc_t*")
public dnnl_convolution_desc_t data()

data

public deconvolution_forward.desc data(dnnl_convolution_desc_t setter)