mxnet
|
A descriptor of a convolution operation. More...
#include <dnnl_types.h>
Public Attributes | |
dnnl_primitive_kind_t | primitive_kind |
dnnl_prop_kind_t | prop_kind |
dnnl_alg_kind_t | alg_kind |
dnnl_memory_desc_t | src_desc |
Source memory descriptor. More... | |
dnnl_memory_desc_t | diff_src_desc |
Source gradient memory descriptor. More... | |
dnnl_memory_desc_t | weights_desc |
Weights memory descriptor. More... | |
dnnl_memory_desc_t | diff_weights_desc |
Weights gradient memory descriptor. More... | |
dnnl_memory_desc_t | bias_desc |
Bias memory descriptor. More... | |
dnnl_memory_desc_t | diff_bias_desc |
Bias gradient memory descriptor. More... | |
dnnl_memory_desc_t | dst_desc |
Destination memory descriptor. More... | |
dnnl_memory_desc_t | diff_dst_desc |
Destination gradient memory descriptor. More... | |
dnnl_dims_t | strides |
Convolution strides in each spatial dimension. More... | |
dnnl_dims_t | dilates |
Convolution dilates in each spatial dimension. More... | |
dnnl_dims_t | padding [2] |
dnnl_data_type_t | accum_data_type |
The accumulator data type. Initialized automatically. More... | |
A descriptor of a convolution operation.
dnnl_data_type_t dnnl_convolution_desc_t::accum_data_type |
The accumulator data type. Initialized automatically.
dnnl_alg_kind_t dnnl_convolution_desc_t::alg_kind |
The kind of the convolution algorithm. Possible values: dnnl_convolution_direct.
dnnl_memory_desc_t dnnl_convolution_desc_t::bias_desc |
Bias memory descriptor.
dnnl_memory_desc_t dnnl_convolution_desc_t::diff_bias_desc |
Bias gradient memory descriptor.
dnnl_memory_desc_t dnnl_convolution_desc_t::diff_dst_desc |
Destination gradient memory descriptor.
dnnl_memory_desc_t dnnl_convolution_desc_t::diff_src_desc |
Source gradient memory descriptor.
dnnl_memory_desc_t dnnl_convolution_desc_t::diff_weights_desc |
Weights gradient memory descriptor.
dnnl_dims_t dnnl_convolution_desc_t::dilates |
Convolution dilates in each spatial dimension.
dnnl_memory_desc_t dnnl_convolution_desc_t::dst_desc |
Destination memory descriptor.
dnnl_dims_t dnnl_convolution_desc_t::padding[2] |
Padding in each spatial dimension. padding[0] is a padding in the beginning (padding_l
), padding[1] is a padding in the end (padding_r
).
dnnl_primitive_kind_t dnnl_convolution_desc_t::primitive_kind |
The kind of primitive. Used for self-identifying the primitive descriptor. Must be dnnl_convolution.
dnnl_prop_kind_t dnnl_convolution_desc_t::prop_kind |
The kind of propagation. Possible values: dnnl_forward_training, dnnl_forward_inference, dnnl_backward_data, dnnl_backward_weights, and dnnl_backward_bias.
dnnl_memory_desc_t dnnl_convolution_desc_t::src_desc |
Source memory descriptor.
dnnl_dims_t dnnl_convolution_desc_t::strides |
Convolution strides in each spatial dimension.
dnnl_memory_desc_t dnnl_convolution_desc_t::weights_desc |
Weights memory descriptor.