Descriptor for a pooling forward propagation primitive. More...
#include <dnnl.hpp>
Public Member Functions | |
desc (prop_kind aprop_kind, algorithm aalgorithm, const memory::desc &src_desc, const memory::desc &dst_desc, const memory::dims &strides, const memory::dims &kernel, const memory::dims &padding_l, const memory::dims &padding_r) | |
Constructs a descriptor for pooling forward propagation primitive. More... | |
Descriptor for a pooling forward propagation primitive.
|
inline |
Constructs a descriptor for pooling forward propagation primitive.
Arrays strides
, kernel
, padding_l
, and 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.
aprop_kind | Propagation kind. Possible values are dnnl::prop_kind::forward_training, and dnnl::prop_kind::forward_inference. |
aalgorithm | Pooling algorithm kind: either dnnl::algorithm::pooling_max, dnnl::algorithm::pooling_avg_include_padding, or dnnl::algorithm::pooling_avg (same as dnnl::algorithm::pooling_avg_exclude_padding). |
src_desc | Source memory descriptor. |
dst_desc | Destination memory descriptor. |
strides | Vector of strides for spatial dimension. |
kernel | Vector of kernel spatial dimensions. |
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) . |