Intel® oneAPI Deep Neural Network Developer Guide and Reference
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Resampling
Overview
A primitive to compute resampling operation on 1D, 2D or 3D data tensor using Nearest Neighbor, or Linear (Bilinear, Trilinear) interpolation method. More…
// structs
struct dnnl::resampling_backward;
struct dnnl::resampling_forward;
// global functions
dnnl_status_t DNNL_API dnnl_resampling_forward_primitive_desc_create(
dnnl_primitive_desc_t* primitive_desc,
dnnl_engine_t engine,
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,
const_dnnl_primitive_attr_t attr
);
dnnl_status_t DNNL_API dnnl_resampling_backward_primitive_desc_create(
dnnl_primitive_desc_t* primitive_desc,
dnnl_engine_t engine,
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,
const_dnnl_primitive_desc_t hint_fwd_pd,
const_dnnl_primitive_attr_t attr
);Detailed Documentation
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
Global Functions
dnnl_status_t DNNL_API dnnl_resampling_forward_primitive_desc_create(
dnnl_primitive_desc_t* primitive_desc,
dnnl_engine_t engine,
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,
const_dnnl_primitive_attr_t attr
)Creates a primitive descriptor for a resampling forward propagation primitive.
Parameters:
primitive_desc |
Output primitive descriptor. |
engine |
Engine to use. |
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. |
attr |
Primitive attributes (can be NULL). |
Returns:
dnnl_success on success and a status describing the error otherwise.
dnnl_status_t DNNL_API dnnl_resampling_backward_primitive_desc_create(
dnnl_primitive_desc_t* primitive_desc,
dnnl_engine_t engine,
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,
const_dnnl_primitive_desc_t hint_fwd_pd,
const_dnnl_primitive_attr_t attr
)Creates a primitive descriptor for a resampling backward propagation primitive.
Parameters:
primitive_desc |
Output primitive descriptor. |
engine |
Engine to use. |
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. |
hint_fwd_pd |
Primitive descriptor for a respective forward propagation primitive. |
attr |
Primitive attributes (can be NULL). |
Returns:
dnnl_success on success and a status describing the error otherwise.