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mxnet
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#include <mkldnn_types.h>
A descriptor of a pooling operation.
| mkldnn_data_type_t mkldnn_pooling_desc_t::accum_data_type |
The accumulator data type. Initialized automatically.
| mkldnn_alg_kind_t mkldnn_pooling_desc_t::alg_kind |
The kind of pooling algorithm. Possible values: mkldnn_pooling_max and mkldnn_pooling_avg.
| mkldnn_memory_desc_t mkldnn_pooling_desc_t::diff_dst_desc |
Destination gradient memory descriptor.
| mkldnn_memory_desc_t mkldnn_pooling_desc_t::diff_src_desc |
Source gradient memory descriptor.
| mkldnn_memory_desc_t mkldnn_pooling_desc_t::dst_desc |
Destination memory descriptor.
| mkldnn_dims_t mkldnn_pooling_desc_t::kernel |
Pooling kernel spatial dimensions.
| mkldnn_dims_t mkldnn_pooling_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).
| mkldnn_padding_kind_t mkldnn_pooling_desc_t::padding_kind |
The kind of padding to use.
| mkldnn_primitive_kind_t mkldnn_pooling_desc_t::primitive_kind |
The kind of primitive. Used for self-identifying the primitive descriptor. Must be mkldnn_pooling.
| mkldnn_prop_kind_t mkldnn_pooling_desc_t::prop_kind |
The kind of propagation. Possible values: mkldnn_forward_training, mkldnn_forward_inference, mkldnn_backward, and mkldnn_backward_data.
| mkldnn_memory_desc_t mkldnn_pooling_desc_t::src_desc |
Source memory descriptor.
| mkldnn_dims_t mkldnn_pooling_desc_t::strides |
Pooling kernel strides for spatial dimensions.
1.8.11
