Developer Guide and Reference

  • 2022.1
  • 04/11/2022
  • Public Content
Contents

Pooling_v2

Overview

A primitive to perform max or average pooling with dilation. More…
// structs struct dnnl_pooling_v2_desc_t; struct dnnl::pooling_v2_backward; struct dnnl::pooling_v2_forward; // global functions dnnl_status_t DNNL_API dnnl_pooling_v2_forward_desc_init( dnnl_pooling_v2_desc_t* pool_desc, dnnl_prop_kind_t prop_kind, dnnl_alg_kind_t alg_kind, const dnnl_memory_desc_t* src_desc, const dnnl_memory_desc_t* dst_desc, const dnnl_dims_t strides, const dnnl_dims_t kernel, const dnnl_dims_t dilation, const dnnl_dims_t padding_l, const dnnl_dims_t padding_r ); dnnl_status_t DNNL_API dnnl_pooling_v2_backward_desc_init( dnnl_pooling_v2_desc_t* pool_desc, dnnl_alg_kind_t alg_kind, const dnnl_memory_desc_t* diff_src_desc, const dnnl_memory_desc_t* diff_dst_desc, const dnnl_dims_t strides, const dnnl_dims_t kernel, const dnnl_dims_t dilation, const dnnl_dims_t padding_l, const dnnl_dims_t padding_r );

Detailed Documentation

A primitive to perform max or average pooling with dilation.
See also:
Pooling in developer guide
Global Functions
dnnl_status_t DNNL_API dnnl_pooling_v2_forward_desc_init( dnnl_pooling_v2_desc_t* pool_desc, dnnl_prop_kind_t prop_kind, dnnl_alg_kind_t alg_kind, const dnnl_memory_desc_t* src_desc, const dnnl_memory_desc_t* dst_desc, const dnnl_dims_t strides, const dnnl_dims_t kernel, const dnnl_dims_t dilation, const dnnl_dims_t padding_l, const dnnl_dims_t padding_r )
Initializes a descriptor for pooling v2 (pooling with dilation support) forward propagation primitive.
Arrays
strides
,
kernel
,
dilation
,
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.
Parameters:
pool_desc
Output descriptor for a pooling primitive.
prop_kind
Propagation kind. Possible values are dnnl_forward_training and dnnl_forward_inference.
alg_kind
src_desc
Source memory descriptor.
dst_desc
Destination memory descriptor.
strides
Array of strides for spatial dimension.
kernel
Array of kernel spatial dimensions.
dilation
Array of dilations for spatial dimension.
padding_l
Array of padding values for low indices for each spatial dimension
([[front,] top,] left)
.
padding_r
Array of padding values for high indices for each spatial dimension
([[back,] bottom,] right)
. Can be NULL in which case padding is considered to be symmetrical.
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_pooling_v2_backward_desc_init( dnnl_pooling_v2_desc_t* pool_desc, dnnl_alg_kind_t alg_kind, const dnnl_memory_desc_t* diff_src_desc, const dnnl_memory_desc_t* diff_dst_desc, const dnnl_dims_t strides, const dnnl_dims_t kernel, const dnnl_dims_t dilation, const dnnl_dims_t padding_l, const dnnl_dims_t padding_r )
Initializes a descriptor for pooling v2 (pooling with dilation support) backward propagation primitive.
Arrays
strides
,
kernel
,
dilation
,
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.
Parameters:
pool_desc
Output descriptor for a pooling primitive.
alg_kind
diff_src_desc
Diff source memory descriptor.
diff_dst_desc
Diff destination memory descriptor.
strides
Array of strides for spatial dimension.
kernel
Array of kernel spatial dimensions.
dilation
Array of dilations for spatial dimension.
padding_l
Array of padding values for low indices for each spatial dimension
([[front,] top,] left)
.
padding_r
Array of padding values for high indices for each spatial dimension
([[back,] bottom,] right)
. Can be NULL in which case padding is considered to be symmetrical.
Returns:
dnnl_success on success and a status describing the error otherwise.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.