Auxiliary types for memory description

Modules
	Operation descriptors

Classes
struct	mkldnn_blocking_desc_t
	Generic description of blocked data layout for most memory formats. More...
struct	mkldnn_wino_desc_t
	Description of tensor of weights for winograd 2x3 convolution. More...
struct	mkldnn_rnn_packed_desc_t
	Description of tensor of packed weights for rnn. More...
struct	mkldnn_convolution_desc_t
	A descriptor of a convolution operation. More...
struct	mkldnn_shuffle_desc_t
	A descriptor of a shuffle operation. More...
struct	mkldnn_eltwise_desc_t
	A descriptor of a element-wise operation. More...
struct	mkldnn_softmax_desc_t
	A descriptor of a Softmax operation. More...
struct	mkldnn_pooling_desc_t
	A descriptor of a pooling operation. More...
struct	mkldnn_lrn_desc_t
	A descriptor of a Local Response Normalization (LRN) operation. More...
struct	mkldnn_batch_normalization_desc_t
	A descriptor of a Batch Normalization operation. More...
struct	mkldnn_inner_product_desc_t
	A descriptor of an inner product operation. More...
struct	mkldnn_rnn_cell_desc_t
struct	mkldnn_rnn_desc_t
	A descriptor for an RNN operation. More...

Macros
#define	TENSOR_MAX_DIMS   12
	Maximum number of dimensions a tensor can have. More...
#define	MKLDNN_RNN_MAX_N_PARTS   4

Typedefs
typedef int	mkldnn_dims_t[TENSOR_MAX_DIMS]
	A type to describe tensor dimensions. More...
typedef ptrdiff_t	mkldnn_strides_t[TENSOR_MAX_DIMS]
	A type to describe strides within a tensor. More...
typedef mkldnn_convolution_desc_t	mkldnn_deconvolution_desc_t
	A descriptor of a deconvolution operation. More...

Enumerations
enum	mkldnn_wino_memory_format_t {   mkldnn_wino_undef = 0, mkldnn_wino_wei_aaOIoi, mkldnn_wino_wei_aaOio, mkldnn_wino_wei_aaOBiOo,   mkldnn_wino_wei_OBaaIBOIio }
enum	mkldnn_rnn_packed_memory_format_t { mkldnn_packed_format_undef = 0, mkldnn_ldigo_p, mkldnn_ldgoi_p }
enum	mkldnn_rnn_cell_flags_t { mkldnn_rnn_cell_with_relu = 0x1U, mkldnn_rnn_cell_with_clipping = 0x2U }
	Flags for RNN cell. More...
enum	mkldnn_rnn_direction_t {   mkldnn_unidirectional_left2right, mkldnn_unidirectional_right2left, mkldnn_bidirectional_concat, mkldnn_bidirectional_sum,   mkldnn_unidirectional = mkldnn_unidirectional_left2right }
	A direction of RNN primitive execution. More...

Detailed Description

Macro Definition Documentation

TENSOR_MAX_DIMS

#define TENSOR_MAX_DIMS   12

Maximum number of dimensions a tensor can have.

Only restricts the amount of space used for the tensor description. Individual computational primitives may support only tensors of certain dimensions.

MKLDNN_RNN_MAX_N_PARTS

#define MKLDNN_RNN_MAX_N_PARTS   4

Typedef Documentation

mkldnn_dims_t

typedef int mkldnn_dims_t[TENSOR_MAX_DIMS]

A type to describe tensor dimensions.

mkldnn_strides_t

typedef ptrdiff_t mkldnn_strides_t[TENSOR_MAX_DIMS]

A type to describe strides within a tensor.

mkldnn_deconvolution_desc_t

typedef mkldnn_convolution_desc_t mkldnn_deconvolution_desc_t

A descriptor of a deconvolution operation.

Enumeration Type Documentation

mkldnn_wino_memory_format_t

enum mkldnn_wino_memory_format_t

Enumerator
mkldnn_wino_undef	Undefined memory format, used for empty memory descriptors.
mkldnn_wino_wei_aaOIoi	Tensors of weights for 2x3 winograd convolutions.
mkldnn_wino_wei_aaOio
mkldnn_wino_wei_aaOBiOo
mkldnn_wino_wei_OBaaIBOIio	Tensor of weights for 4x3 convolution.

mkldnn_rnn_packed_memory_format_t

enum mkldnn_rnn_packed_memory_format_t

Enumerator
mkldnn_packed_format_undef
mkldnn_ldigo_p
mkldnn_ldgoi_p

mkldnn_rnn_cell_flags_t

enum mkldnn_rnn_cell_flags_t

Flags for RNN cell.

Enumerator
mkldnn_rnn_cell_with_relu
mkldnn_rnn_cell_with_clipping

mkldnn_rnn_direction_t

enum mkldnn_rnn_direction_t

A direction of RNN primitive execution.

Enumerator
mkldnn_unidirectional_left2right
mkldnn_unidirectional_right2left
mkldnn_bidirectional_concat
mkldnn_bidirectional_sum
mkldnn_unidirectional