org.bytedeco.dnnl

Class convolution_backward_weights.desc

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.dnnl.convolution_backward_weights.desc

All Implemented Interfaces:

AutoCloseable

Enclosing class:

convolution_backward_weights

@NoOffset
public static class convolution_backward_weights.desc
extends Pointer

Descriptor for a convolution weights gradient 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.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a convolution weights gradient primitive without bias.
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a dilated convolution weights gradient primitive without bias.
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a convolution weights gradient primitive with bias.
desc(dnnl.algorithm algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r) Constructs a descriptor for a dilated convolution weights gradient primitive with bias.
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer dilates, LongPointer padding_l, LongPointer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, long[] strides, long[] padding_l, long[] padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, long[] strides, long[] dilates, long[] padding_l, long[] padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer padding_l, LongBuffer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongBuffer strides, LongBuffer dilates, LongBuffer padding_l, LongBuffer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_dst_desc, LongPointer strides, LongPointer padding_l, LongPointer padding_r)
desc(int algorithm, memory.desc src_desc, memory.desc diff_weights_desc, memory.desc diff_bias_desc, memory.desc diff_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()
convolution_backward_weights.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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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 convolution weights gradient primitive with bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - diff_dst (#dnnl::primitive_desc_base::diff_dst_desc(0)) Outputs: - diff_weights (#dnnl::primitive_desc_base::diff_weights_desc(0)) - diff_bias (#dnnl::primitive_desc_base::diff_weights_desc(1)) \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:

algorithm - Convolution algorithm. Possible values are #dnnl::algorithm::convolution_direct, #dnnl::algorithm::convolution_winograd, and #dnnl::algorithm::convolution_auto.

src_desc - Source memory descriptor.

diff_weights_desc - Diff weights memory descriptor.

diff_bias_desc - Diff bias memory descriptor. Passing zero memory descriptor disables the bias term.

diff_dst_desc - Diff destination memory descriptor.

strides - Strides for each 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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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 convolution weights gradient primitive without bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - diff_dst (#dnnl::primitive_desc_base::diff_dst_desc(0)) Outputs: - diff_weights (#dnnl::primitive_desc_base::diff_weights_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:

algorithm - Convolution algorithm. Possible values are #dnnl::algorithm::convolution_direct, #dnnl::algorithm::convolution_winograd, and #dnnl::algorithm::convolution_auto.

src_desc - Source memory descriptor.

diff_weights_desc - Diff weights memory descriptor.

diff_dst_desc - Diff destination memory descriptor.

strides - Strides for each 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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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 convolution weights gradient primitive with bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - diff_dst (#dnnl::primitive_desc_base::diff_dst_desc(0)) Outputs: - diff_weights (#dnnl::primitive_desc_base::diff_weights_desc(0)) - diff_bias (#dnnl::primitive_desc_base::diff_weights_desc(1)) \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:

algorithm - Convolution algorithm. Possible values are #dnnl::algorithm::convolution_direct, #dnnl::algorithm::convolution_winograd, and #dnnl::algorithm::convolution_auto.

src_desc - Source memory descriptor.

diff_weights_desc - Diff weights memory descriptor.

diff_bias_desc - Diff bias memory descriptor. Passing zero memory descriptor disables the bias term.

diff_dst_desc - Diff destination memory descriptor.

strides - Strides for each 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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_bias_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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 convolution weights gradient primitive without bias. Inputs: - src (#dnnl::primitive_desc_base::src_desc(0)) - diff_dst (#dnnl::primitive_desc_base::diff_dst_desc(0)) Outputs: - diff_weights (#dnnl::primitive_desc_base::diff_weights_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:

algorithm - Convolution algorithm. Possible values are #dnnl::algorithm::convolution_direct, #dnnl::algorithm::convolution_winograd, and #dnnl::algorithm::convolution_auto.

src_desc - Source memory descriptor.

diff_weights_desc - Diff weights memory descriptor.

diff_dst_desc - Diff destination memory descriptor.

strides - Strides for each 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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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.algorithm algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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::algorithm")
            int algorithm,
            @Const @ByRef
            memory.desc src_desc,
            @Const @ByRef
            memory.desc diff_weights_desc,
            @Const @ByRef
            memory.desc diff_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
public dnnl_convolution_desc_t data()

data

public convolution_backward_weights.desc data(dnnl_convolution_desc_t setter)