mxnet
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A descriptor of resampling 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 | dst_desc |
Destination memory descriptor. More... | |
dnnl_memory_desc_t | diff_dst_desc |
Destination gradient memory descriptor. More... | |
float | factors [DNNL_MAX_NDIMS] |
Resampling factor in each spatial dimension. More... | |
A descriptor of resampling operation.
dnnl_alg_kind_t dnnl_resampling_desc_t::alg_kind |
The kind of the resampling algorithm. Possible values: dnnl_resampling_nearest, dnnl_resampling_linear.
dnnl_memory_desc_t dnnl_resampling_desc_t::diff_dst_desc |
Destination gradient memory descriptor.
dnnl_memory_desc_t dnnl_resampling_desc_t::diff_src_desc |
Source gradient memory descriptor.
dnnl_memory_desc_t dnnl_resampling_desc_t::dst_desc |
Destination memory descriptor.
float dnnl_resampling_desc_t::factors[DNNL_MAX_NDIMS] |
Resampling factor in each spatial dimension.
dnnl_primitive_kind_t dnnl_resampling_desc_t::primitive_kind |
The kind of primitive. Used for self-identifying the primitive descriptor. Must be dnnl_resampling.
dnnl_prop_kind_t dnnl_resampling_desc_t::prop_kind |
The kind of propagation. Possible values: dnnl_forward_training, dnnl_forward_inference, dnnl_backward_data,
dnnl_memory_desc_t dnnl_resampling_desc_t::src_desc |
Source memory descriptor.