Resampling

A primitive to compute resampling operation on 1D, 2D or 3D data tensor using Nearest Neighbor, or Linear (Bilinear, Trilinear) interpolation method. More...

Classes
struct	dnnl::resampling_forward
	Resampling forward propagation. More...
struct	dnnl::resampling_backward
	Resampling backward propagation primitive. More...
struct	dnnl_resampling_desc_t
	A descriptor of resampling operation. More...

Functions
dnnl_status_t DNNL_API	dnnl_resampling_forward_desc_init (dnnl_resampling_desc_t *resampling_desc, dnnl_prop_kind_t prop_kind, dnnl_alg_kind_t alg_kind, const float *factors, const dnnl_memory_desc_t *src_desc, const dnnl_memory_desc_t *dst_desc)
	Initializes a descriptor for a resampling forward propagation primitive. More...
dnnl_status_t DNNL_API	dnnl_resampling_backward_desc_init (dnnl_resampling_desc_t *resampling_desc, dnnl_alg_kind_t alg_kind, const float *factors, const dnnl_memory_desc_t *diff_src_desc, const dnnl_memory_desc_t *diff_dst_desc)
	Initializes a descriptor for resampling backward propagation primitive. More...

Detailed Description

A primitive to compute resampling operation on 1D, 2D or 3D data tensor using Nearest Neighbor, or Linear (Bilinear, Trilinear) interpolation method.

See also

Resampling in developer guide

Function Documentation

dnnl_resampling_forward_desc_init()

dnnl_status_t DNNL_API dnnl_resampling_forward_desc_init	(	dnnl_resampling_desc_t *	resampling_desc,
		dnnl_prop_kind_t	prop_kind,
		dnnl_alg_kind_t	alg_kind,
		const float *	factors,
		const dnnl_memory_desc_t *	src_desc,
		const dnnl_memory_desc_t *	dst_desc
	)

Initializes a descriptor for a resampling forward propagation primitive.

Note

Destination memory descriptor is allowed to be initialized with dnnl_format_tag_any or with format_kind set to dnnl_format_kind_any.

Parameters

resampling_desc	Output descriptor for a resampling primitive.
prop_kind	Propagation kind. Possible values are dnnl_forward_training and dnnl_forward_inference.
alg_kind	resampling algorithm kind: either dnnl_resampling_nearest, or dnnl_resampling_linear.
factors	Array of scaling factors for spatial dimension.
src_desc	Source memory descriptor.
dst_desc	Destination memory descriptor.

Returns

dnnl_success on success and a status describing the error otherwise.

dnnl_resampling_backward_desc_init()

dnnl_status_t DNNL_API dnnl_resampling_backward_desc_init	(	dnnl_resampling_desc_t *	resampling_desc,
		dnnl_alg_kind_t	alg_kind,
		const float *	factors,
		const dnnl_memory_desc_t *	diff_src_desc,
		const dnnl_memory_desc_t *	diff_dst_desc
	)

Initializes a descriptor for resampling backward propagation primitive.

Parameters

resampling_desc	Output descriptor for a resampling primitive.
alg_kind	resamplinging algorithm kind: either dnnl_resampling_nearest, or dnnl_resampling_linear.
diff_src_desc	Diff source memory descriptor.
diff_dst_desc	Diff destination memory descriptor.
factors	Array of scaling factors for spatial dimension.

Returns

dnnl_success on success and a status describing the error otherwise.