A descriptor of a convolution operation. More...
#include <mkldnn_types.h>
Public Attributes | |
| mkldnn_primitive_kind_t | primitive_kind |
| The kind of primitive. More... | |
| mkldnn_prop_kind_t | prop_kind |
| The kind of propagation. More... | |
| mkldnn_alg_kind_t | alg_kind |
| The kind of the convolution algorithm. More... | |
| mkldnn_memory_desc_t | src_desc |
| Source memory descriptor. More... | |
| mkldnn_memory_desc_t | diff_src_desc |
| Source gradient memory descriptor. More... | |
| mkldnn_memory_desc_t | weights_desc |
| Weights memory descriptor. More... | |
| mkldnn_memory_desc_t | diff_weights_desc |
| Weights gradient memory descriptor. More... | |
| mkldnn_memory_desc_t | bias_desc |
| Bias memory descriptor. More... | |
| mkldnn_memory_desc_t | diff_bias_desc |
| Bias gradient memory descriptor. More... | |
| mkldnn_memory_desc_t | dst_desc |
| Destination memory descriptor. More... | |
| mkldnn_memory_desc_t | diff_dst_desc |
| Destination gradient memory descriptor. More... | |
| mkldnn_dims_t | strides |
| Convolution strides in each spatial dimension. More... | |
| mkldnn_dims_t | dilates |
| Convolution dilates in each spatial dimension. More... | |
| mkldnn_dims_t | padding [2] |
| Padding in each spatial dimension. More... | |
| mkldnn_padding_kind_t | padding_kind |
| The kind of padding to use. More... | |
| mkldnn_data_type_t | accum_data_type |
| The accumulator data type. More... | |
Detailed Description
A descriptor of a convolution operation.
Member Data Documentation
◆ primitive_kind
| mkldnn_primitive_kind_t mkldnn_convolution_desc_t::primitive_kind |
The kind of primitive.
Used for self-identifying the primitive descriptor. Must be mkldnn_convolution.
◆ prop_kind
| mkldnn_prop_kind_t mkldnn_convolution_desc_t::prop_kind |
The kind of propagation.
Possible values: mkldnn_forward_training, mkldnn_forward_inference, mkldnn_backward_data, mkldnn_backward_weights, and mkldnn_backward_bias.
◆ alg_kind
| mkldnn_alg_kind_t mkldnn_convolution_desc_t::alg_kind |
The kind of the convolution algorithm.
Possible values: mkldnn_convolution_direct.
◆ src_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::src_desc |
Source memory descriptor.
◆ diff_src_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::diff_src_desc |
Source gradient memory descriptor.
◆ weights_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::weights_desc |
Weights memory descriptor.
◆ diff_weights_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::diff_weights_desc |
Weights gradient memory descriptor.
◆ bias_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::bias_desc |
Bias memory descriptor.
◆ diff_bias_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::diff_bias_desc |
Bias gradient memory descriptor.
◆ dst_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::dst_desc |
Destination memory descriptor.
◆ diff_dst_desc
| mkldnn_memory_desc_t mkldnn_convolution_desc_t::diff_dst_desc |
Destination gradient memory descriptor.
◆ strides
| mkldnn_dims_t mkldnn_convolution_desc_t::strides |
Convolution strides in each spatial dimension.
◆ dilates
| mkldnn_dims_t mkldnn_convolution_desc_t::dilates |
Convolution dilates in each spatial dimension.
◆ padding
| mkldnn_dims_t mkldnn_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).
◆ padding_kind
| mkldnn_padding_kind_t mkldnn_convolution_desc_t::padding_kind |
The kind of padding to use.
◆ accum_data_type
| mkldnn_data_type_t mkldnn_convolution_desc_t::accum_data_type |
The accumulator data type.
Initialized automatically.
The documentation for this struct was generated from the following file:
- include/mkldnn_types.h
