Deconvolution

A primitive to compute deconvolution using different algorithms. More...

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)
	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. More...
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. More...
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. More...
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. More...
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. More...
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. More...

Detailed Description

A primitive to compute deconvolution using different algorithms.

Function Documentation

mkldnn_deconvolution_forward_desc_init()

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:

• src (mkldnn_query_src_pd, 0)
• weights (mkldnn_query_weights_pd, 0)
• bias (mkldnn_query_weights_pd, 1), if created with bias

Order of outputs:

• dst (mkldnn_query_dst_pd, 0)

mkldnn_dilated_deconvolution_forward_desc_init()

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:

• src (mkldnn_query_src_pd, 0)
• weights (mkldnn_query_weights_pd, 0)
• bias (mkldnn_query_weights_pd, 1), if created with bias

Order of outputs:

• dst (mkldnn_query_dst_pd, 0)

mkldnn_deconvolution_backward_data_desc_init()

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:

• diff_dst (mkldnn_query_diff_dst_pd, 0)
• weights (mkldnn_query_weights_pd, 0)

Order of outputs:

• diff_src (mkldnn_query_diff_src_pd, 0)

mkldnn_dilated_deconvolution_backward_data_desc_init()

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:

• diff_dst (mkldnn_query_diff_dst_pd, 0)
• weights (mkldnn_query_weights_pd, 0)

Order of outputs:

• diff_src (mkldnn_query_diff_src_pd, 0)

mkldnn_deconvolution_backward_weights_desc_init()

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:

• src (mkldnn_query_src_pd, 0)
• diff_dst (mkldnn_query_diff_dst_pd, 0)

Order of outputs:

• diff_weights (mkldnn_query_diff_weights_pd, 0)
• diff_bias (mkldnn_query_diff_weights_pd, 1), if created with bias

mkldnn_dilated_deconvolution_backward_weights_desc_init()

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:

• src (mkldnn_query_src_pd, 0)
• diff_dst (mkldnn_query_diff_dst_pd, 0)

Order of outputs:

• diff_weights (mkldnn_query_diff_weights_pd, 0)
• diff_bias (mkldnn_query_diff_weights_pd, 1), if created with bias