mxnet
Functions
Deconvolution
Collaboration diagram for Deconvolution:

Functions

mkldnn_status_t MKLDNN_API mkldnn_deconvolution_forward_desc_init (mkldnn_deconvolution_desc_t *conv_desc, mkldnn_prop_kind_t prop_kind, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *src_desc, const mkldnn_memory_desc_t *weights_desc, const mkldnn_memory_desc_t *bias_desc, const mkldnn_memory_desc_t *dst_desc, const mkldnn_dims_t strides, const mkldnn_dims_t padding_l, const mkldnn_dims_t padding_r, mkldnn_padding_kind_t padding_kind)
 
mkldnn_status_t MKLDNN_API mkldnn_dilated_deconvolution_forward_desc_init (mkldnn_deconvolution_desc_t *conv_desc, mkldnn_prop_kind_t prop_kind, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *src_desc, const mkldnn_memory_desc_t *weights_desc, const mkldnn_memory_desc_t *bias_desc, const mkldnn_memory_desc_t *dst_desc, const mkldnn_dims_t strides, const mkldnn_dims_t dilates, const mkldnn_dims_t padding_l, const mkldnn_dims_t padding_r, mkldnn_padding_kind_t padding_kind)
 
mkldnn_status_t MKLDNN_API mkldnn_deconvolution_backward_data_desc_init (mkldnn_deconvolution_desc_t *conv_desc, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *diff_src_desc, const mkldnn_memory_desc_t *weights_desc, const mkldnn_memory_desc_t *diff_dst_desc, const mkldnn_dims_t strides, const mkldnn_dims_t padding_l, const mkldnn_dims_t padding_r, mkldnn_padding_kind_t padding_kind)
 
mkldnn_status_t MKLDNN_API mkldnn_dilated_deconvolution_backward_data_desc_init (mkldnn_deconvolution_desc_t *conv_desc, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *diff_src_desc, const mkldnn_memory_desc_t *weights_desc, const mkldnn_memory_desc_t *diff_dst_desc, const mkldnn_dims_t strides, const mkldnn_dims_t dilates, const mkldnn_dims_t padding_l, const mkldnn_dims_t padding_r, mkldnn_padding_kind_t padding_kind)
 
mkldnn_status_t MKLDNN_API mkldnn_deconvolution_backward_weights_desc_init (mkldnn_deconvolution_desc_t *conv_desc, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *src_desc, const mkldnn_memory_desc_t *diff_weights_desc, const mkldnn_memory_desc_t *diff_bias_desc, const mkldnn_memory_desc_t *diff_dst_desc, const mkldnn_dims_t strides, const mkldnn_dims_t padding_l, const mkldnn_dims_t padding_r, mkldnn_padding_kind_t padding_kind)
 
mkldnn_status_t MKLDNN_API mkldnn_dilated_deconvolution_backward_weights_desc_init (mkldnn_deconvolution_desc_t *conv_desc, mkldnn_alg_kind_t alg_kind, const mkldnn_memory_desc_t *src_desc, const mkldnn_memory_desc_t *diff_weights_desc, const mkldnn_memory_desc_t *diff_bias_desc, const mkldnn_memory_desc_t *diff_dst_desc, const mkldnn_dims_t strides, const mkldnn_dims_t dilates, const mkldnn_dims_t padding_l, const mkldnn_dims_t padding_r, mkldnn_padding_kind_t padding_kind)
 

Detailed Description

A primitive to compute deconvolution using different algorithms.

Function Documentation

mkldnn_status_t MKLDNN_API mkldnn_deconvolution_backward_data_desc_init ( mkldnn_deconvolution_desc_t conv_desc,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t diff_src_desc,
const mkldnn_memory_desc_t weights_desc,
const mkldnn_memory_desc_t diff_dst_desc,
const mkldnn_dims_t  strides,
const mkldnn_dims_t  padding_l,
const mkldnn_dims_t  padding_r,
mkldnn_padding_kind_t  padding_kind 
)

Initializes a deconvolution descriptor conv_desc for backward propagation with respect to data using alg_kind, memory descriptors, strides, padding_l, padding_r, and padding_kind.

Note
Memory descriptors are allowed to be initialized with mkldnn_any value of format_kind.

Order of inputs:

Order of outputs:

mkldnn_status_t MKLDNN_API mkldnn_deconvolution_backward_weights_desc_init ( mkldnn_deconvolution_desc_t conv_desc,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t src_desc,
const mkldnn_memory_desc_t diff_weights_desc,
const mkldnn_memory_desc_t diff_bias_desc,
const mkldnn_memory_desc_t diff_dst_desc,
const mkldnn_dims_t  strides,
const mkldnn_dims_t  padding_l,
const mkldnn_dims_t  padding_r,
mkldnn_padding_kind_t  padding_kind 
)

Initializes a deconvolution descriptor conv_desc for backward propagation with respect to weights using alg_kind, memory descriptors, strides, padding_l, padding_r, and padding_kind.

Note
Memory descriptors are allowed to be initialized with mkldnn_any value of format_kind.

Order of inputs:

Order of outputs:

mkldnn_status_t MKLDNN_API mkldnn_deconvolution_forward_desc_init ( mkldnn_deconvolution_desc_t conv_desc,
mkldnn_prop_kind_t  prop_kind,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t src_desc,
const mkldnn_memory_desc_t weights_desc,
const mkldnn_memory_desc_t bias_desc,
const mkldnn_memory_desc_t dst_desc,
const mkldnn_dims_t  strides,
const mkldnn_dims_t  padding_l,
const mkldnn_dims_t  padding_r,
mkldnn_padding_kind_t  padding_kind 
)

Initializes a deconvolution descriptor deconv_desc for forward propagation using prop_kind (possible values are mkldnn_forward_training and mkldnn_forward_inference), alg_kind, memory descriptors, strides, padding_l, padding_r, and padding_kind. In order to create a deconvolution without bias, bias_desc should either be NULL or point to a descriptor with memory format equal to mkldnn_format_undef.

Note
If padding_r is NULL, the padding is supposed to be symmetric.
Memory descriptors are allowed to be initialized with mkldnn_any value of format_kind.

Order of inputs:

Order of outputs:

mkldnn_status_t MKLDNN_API mkldnn_dilated_deconvolution_backward_data_desc_init ( mkldnn_deconvolution_desc_t conv_desc,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t diff_src_desc,
const mkldnn_memory_desc_t weights_desc,
const mkldnn_memory_desc_t diff_dst_desc,
const mkldnn_dims_t  strides,
const mkldnn_dims_t  dilates,
const mkldnn_dims_t  padding_l,
const mkldnn_dims_t  padding_r,
mkldnn_padding_kind_t  padding_kind 
)

Initializes a dilated deconvolution descriptor conv_desc for backward propagation with respect to data using alg_kind, memory descriptors, strides, dilates, padding_l, padding_r, and padding_kind.

Note
Memory descriptors are allowed to be initialized with mkldnn_any value of format_kind.

Order of inputs:

Order of outputs:

mkldnn_status_t MKLDNN_API mkldnn_dilated_deconvolution_backward_weights_desc_init ( mkldnn_deconvolution_desc_t conv_desc,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t src_desc,
const mkldnn_memory_desc_t diff_weights_desc,
const mkldnn_memory_desc_t diff_bias_desc,
const mkldnn_memory_desc_t diff_dst_desc,
const mkldnn_dims_t  strides,
const mkldnn_dims_t  dilates,
const mkldnn_dims_t  padding_l,
const mkldnn_dims_t  padding_r,
mkldnn_padding_kind_t  padding_kind 
)

Initializes a dilated deconvolution descriptor conv_desc for backward propagation with respect to weights using alg_kind, memory descriptors, strides, dilates, padding_l, padding_r, and padding_kind.

Note
Memory descriptors are allowed to be initialized with mkldnn_any value of format_kind.

Order of inputs:

Order of outputs:

mkldnn_status_t MKLDNN_API mkldnn_dilated_deconvolution_forward_desc_init ( mkldnn_deconvolution_desc_t conv_desc,
mkldnn_prop_kind_t  prop_kind,
mkldnn_alg_kind_t  alg_kind,
const mkldnn_memory_desc_t src_desc,
const mkldnn_memory_desc_t weights_desc,
const mkldnn_memory_desc_t bias_desc,
const mkldnn_memory_desc_t dst_desc,
const mkldnn_dims_t  strides,
const mkldnn_dims_t  dilates,
const mkldnn_dims_t  padding_l,
const mkldnn_dims_t  padding_r,
mkldnn_padding_kind_t  padding_kind 
)

Initializes a dilated deconvolution descriptor deconv_desc for forward propagation using prop_kind (possible values are mkldnn_forward_training and mkldnn_forward_inference), alg_kind, memory descriptors, strides, dilates, padding_l, padding_r, and padding_kind. In order to create a dilated deconvolution without bias, bias_desc should either be NULL or point to a descriptor with memory format equal to mkldnn_format_undef.

Note
If padding_r is NULL, the padding is supposed to be symmetric.
Memory descriptors are allowed to be initialized with mkldnn_any value of format_kind.

Order of inputs:

Order of outputs: