#include <stddef.h>
#include <stdint.h>

Include dependency graph for mkldnn_types.h:

This graph shows which files directly or indirectly include this file:

Classes
struct	mkldnn_version_t
	Version type. More...

struct	mkldnn_blocking_desc_t

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_memory_extra_desc_t
	Description of extra information stored in memory. More...

struct	mkldnn_memory_desc_t

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_desc_t
	A descriptor for an RNN operation. More...

struct	mkldnn_exec_arg_t

Macros
#define	MKLDNN_MAX_NDIMS 12

#define	MKLDNN_RNN_MAX_N_PARTS 4

#define	MKLDNN_MEMORY_NONE (NULL)

#define	MKLDNN_MEMORY_ALLOCATE ((void *)(size_t)-1)

#define	MKLDNN_ARG_SRC_0 1

#define	MKLDNN_ARG_SRC MKLDNN_ARG_SRC_0

#define	MKLDNN_ARG_SRC_LAYER MKLDNN_ARG_SRC_0

#define	MKLDNN_ARG_FROM MKLDNN_ARG_SRC_0

#define	MKLDNN_ARG_SRC_1 2

#define	MKLDNN_ARG_SRC_ITER MKLDNN_ARG_SRC_1

#define	MKLDNN_ARG_SRC_2 3

#define	MKLDNN_ARG_SRC_ITER_C MKLDNN_ARG_SRC_2

#define	MKLDNN_ARG_DST_0 17

#define	MKLDNN_ARG_DST MKLDNN_ARG_DST_0

#define	MKLDNN_ARG_TO MKLDNN_ARG_DST_0

#define	MKLDNN_ARG_DST_LAYER MKLDNN_ARG_DST_0

#define	MKLDNN_ARG_DST_1 18

#define	MKLDNN_ARG_DST_ITER MKLDNN_ARG_DST_1

#define	MKLDNN_ARG_DST_2 19

#define	MKLDNN_ARG_DST_ITER_C MKLDNN_ARG_DST_2

#define	MKLDNN_ARG_WEIGHTS_0 33

#define	MKLDNN_ARG_WEIGHTS MKLDNN_ARG_WEIGHTS_0

#define	MKLDNN_ARG_SCALE_SHIFT MKLDNN_ARG_WEIGHTS_0

#define	MKLDNN_ARG_WEIGHTS_LAYER MKLDNN_ARG_WEIGHTS_0

#define	MKLDNN_ARG_WEIGHTS_1 34

#define	MKLDNN_ARG_WEIGHTS_ITER MKLDNN_ARG_WEIGHTS_1

#define	MKLDNN_ARG_BIAS 41

#define	MKLDNN_ARG_MEAN 49

#define	MKLDNN_ARG_VARIANCE 50

#define	MKLDNN_ARG_WORKSPACE 64

#define	MKLDNN_ARG_SCRATCHPAD 80

#define	MKLDNN_ARG_DIFF_SRC_0 129

#define	MKLDNN_ARG_DIFF_SRC MKLDNN_ARG_DIFF_SRC_0

#define	MKLDNN_ARG_DIFF_SRC_LAYER MKLDNN_ARG_DIFF_SRC_0

#define	MKLDNN_ARG_DIFF_SRC_1 130

#define	MKLDNN_ARG_DIFF_SRC_ITER MKLDNN_ARG_DIFF_SRC_1

#define	MKLDNN_ARG_DIFF_SRC_2 131

#define	MKLDNN_ARG_DIFF_SRC_ITER_C MKLDNN_ARG_DIFF_SRC_2

#define	MKLDNN_ARG_DIFF_DST_0 145

#define	MKLDNN_ARG_DIFF_DST MKLDNN_ARG_DIFF_DST_0

#define	MKLDNN_ARG_DIFF_DST_LAYER MKLDNN_ARG_DIFF_DST_0

#define	MKLDNN_ARG_DIFF_DST_1 146

#define	MKLDNN_ARG_DIFF_DST_ITER MKLDNN_ARG_DIFF_DST_1

#define	MKLDNN_ARG_DIFF_DST_2 147

#define	MKLDNN_ARG_DIFF_DST_ITER_C MKLDNN_ARG_DIFF_DST_2

#define	MKLDNN_ARG_DIFF_WEIGHTS_0 161

#define	MKLDNN_ARG_DIFF_WEIGHTS MKLDNN_ARG_DIFF_WEIGHTS_0

#define	MKLDNN_ARG_DIFF_SCALE_SHIFT MKLDNN_ARG_DIFF_WEIGHTS_0

#define	MKLDNN_ARG_DIFF_WEIGHTS_LAYER MKLDNN_ARG_DIFF_WEIGHTS_0

#define	MKLDNN_ARG_DIFF_WEIGHTS_1 162

#define	MKLDNN_ARG_DIFF_WEIGHTS_ITER MKLDNN_ARG_DIFF_WEIGHTS_1

#define	MKLDNN_ARG_DIFF_BIAS 169

#define	MKLDNN_ARG_MULTIPLE_SRC 1024

#define	MKLDNN_ARG_MULTIPLE_DST 2048

Typedefs
typedef int64_t	mkldnn_dim_t
	A type to describe tensor dimension. More...

typedef mkldnn_dim_t	mkldnn_dims_t[MKLDNN_MAX_NDIMS]
	A type to describe tensor dimensions. More...

typedef struct mkldnn_memory *	mkldnn_memory_t
	A memory handle. More...

typedef const struct mkldnn_memory *	const_mkldnn_memory_t
	A constant memory handle. More...

typedef void *	mkldnn_op_desc_t
	A pointer to any of the operation descriptors. More...

typedef const void *	const_mkldnn_op_desc_t
	A pointer to any of the operation descriptors (constant variant). More...

typedef mkldnn_convolution_desc_t	mkldnn_deconvolution_desc_t
	A descriptor of a deconvolution operation. More...

typedef struct mkldnn_engine *	mkldnn_engine_t
	An engine handle. More...

typedef struct mkldnn_primitive_desc_iterator *	mkldnn_primitive_desc_iterator_t
	A primitive descriptor iterator handle. More...

typedef const struct mkldnn_primitive_desc_iterator *	const_mkldnn_primitive_desc_iterator_t
	A constant primitive descriptor iterator handle. More...

typedef struct mkldnn_primitive_desc *	mkldnn_primitive_desc_t
	A primitive descriptor handle. More...

typedef const struct mkldnn_primitive_desc *	const_mkldnn_primitive_desc_t
	A constant primitive descriptor handle. More...

typedef struct mkldnn_primitive_attr *	mkldnn_primitive_attr_t
	A primitive descriptor attributes handle that controls primitive behavior. More...

typedef const struct mkldnn_primitive_attr *	const_mkldnn_primitive_attr_t
	A constant primitive descriptor attributes handle. More...

typedef struct mkldnn_post_ops *	mkldnn_post_ops_t
	A post operation chain handle. More...

typedef const struct mkldnn_post_ops *	const_mkldnn_post_ops_t
	A constant post operation chain handle. More...

typedef struct mkldnn_primitive *	mkldnn_primitive_t
	A primitive handle. More...

typedef const struct mkldnn_primitive *	const_mkldnn_primitive_t
	A constant primitive handle. More...

typedef struct mkldnn_stream *	mkldnn_stream_t
	An execution stream handle. More...

typedef const struct mkldnn_stream *	const_mkldnn_stream_t
	A constant execution stream handle. More...

Enumerations
enum	mkldnn_status_t { mkldnn_success = 0, mkldnn_out_of_memory = 1, mkldnn_invalid_arguments = 2, mkldnn_unimplemented = 3, mkldnn_iterator_ends = 4, mkldnn_runtime_error = 5, mkldnn_not_required = 6 }
	Status values returned by the library functions. More...

enum	mkldnn_data_type_t { mkldnn_data_type_undef = 0, mkldnn_f16 = 1, mkldnn_bf16 = 2, mkldnn_f32 = 3, mkldnn_s32 = 4, mkldnn_s8 = 5, mkldnn_u8 = 6 }
	Data type specification. More...

enum	mkldnn_format_kind_t { mkldnn_format_kind_undef = 0, mkldnn_format_kind_any, mkldnn_blocked, mkldnn_format_kind_wino, mkldnn_format_kind_rnn_packed }
	Memory format kind. More...

enum	mkldnn_format_tag_t { mkldnn_format_tag_undef = 0, mkldnn_format_tag_any, mkldnn_a, mkldnn_ab, mkldnn_abc, mkldnn_abcd, mkldnn_abcde, mkldnn_abcdef, mkldnn_abdec, mkldnn_acb, mkldnn_acbde, mkldnn_acdb, mkldnn_acdeb, mkldnn_ba, mkldnn_bac, mkldnn_bacd, mkldnn_bca, mkldnn_bcda, mkldnn_bcdea, mkldnn_cba, mkldnn_cdba, mkldnn_cdeba, mkldnn_decab, mkldnn_Abc16a, mkldnn_ABc16a16b, mkldnn_aBc16b, mkldnn_ABc16b16a, mkldnn_Abc4a, mkldnn_aBc4b, mkldnn_ABc4b16a4b, mkldnn_ABc4b4a, mkldnn_ABc8a16b2a, mkldnn_ABc8a8b, mkldnn_aBc8b, mkldnn_ABc8b16a2b, mkldnn_BAc8a16b2a, mkldnn_ABc8b8a, mkldnn_Abcd16a, mkldnn_ABcd16a16b, mkldnn_ABcd32a32b, mkldnn_aBcd16b, mkldnn_ABcd16b16a, mkldnn_aBCd16b16c, mkldnn_aBCd16c16b, mkldnn_Abcd4a, mkldnn_aBcd4b, mkldnn_ABcd4b16a4b, mkldnn_ABcd4b4a, mkldnn_aBCd4c16b4c, mkldnn_aBCd4c4b, mkldnn_ABcd8a16b2a, mkldnn_ABcd8a8b, mkldnn_aBcd8b, mkldnn_ABcd8b16a2b, mkldnn_aBCd8b16c2b, mkldnn_BAcd8a16b2a, mkldnn_ABcd8b8a, mkldnn_aBCd8b8c, mkldnn_aBCd8c16b2c, mkldnn_ABcde8a16b2a, mkldnn_aCBd8b16c2b, mkldnn_aBCd8c8b, mkldnn_Abcde16a, mkldnn_ABcde16a16b, mkldnn_BAcde8a16b2a, mkldnn_aBcde16b, mkldnn_ABcde16b16a, mkldnn_aBCde16b16c, mkldnn_aBCde16c16b, mkldnn_aBCde2c8b4c, mkldnn_Abcde4a, mkldnn_aBcde4b, mkldnn_ABcde4b4a, mkldnn_aBCde4b4c, mkldnn_aBCde4c16b4c, mkldnn_aBCde4c4b, mkldnn_Abcde8a, mkldnn_ABcde8a8b, mkldnn_BAcde16b16a, mkldnn_aBcde8b, mkldnn_ABcde8b16a2b, mkldnn_aBCde8b16c2b, mkldnn_aCBde8b16c2b, mkldnn_ABcde8b8a, mkldnn_aBCde8b8c, mkldnn_ABcd4a8b8a4b, mkldnn_ABcd2a8b8a2b, mkldnn_aBCde4b8c8b4c, mkldnn_aBCde2b8c8b2c, mkldnn_aBCde8c16b2c, mkldnn_aBCde8c8b, mkldnn_aBcdef16b, mkldnn_aBCdef16b16c, mkldnn_aBCdef16c16b, mkldnn_aBcdef4b, mkldnn_aBCdef4c4b, mkldnn_aBCdef8b8c, mkldnn_aBCdef8c16b2c, mkldnn_aBCdef8b16c2b, mkldnn_aCBdef8b16c2b, mkldnn_aBCdef8c8b, mkldnn_aBdc16b, mkldnn_aBdc4b, mkldnn_aBdc8b, mkldnn_aBdec16b, mkldnn_aBdec32b, mkldnn_aBdec4b, mkldnn_aBdec8b, mkldnn_aBdefc16b, mkldnn_aCBdef16c16b, mkldnn_aBdefc4b, mkldnn_aBdefc8b, mkldnn_Abcdef16a, mkldnn_Acb16a, mkldnn_Acb4a, mkldnn_Acb8a, mkldnn_aCBd16b16c, mkldnn_aCBd16c16b, mkldnn_aCBde16b16c, mkldnn_aCBde16c16b, mkldnn_Acdb16a, mkldnn_Acdb32a, mkldnn_Acdb4a, mkldnn_Acdb8a, mkldnn_Acdeb16a, mkldnn_Acdeb4a, mkldnn_Acdeb8a, mkldnn_BAc16a16b, mkldnn_BAc16b16a, mkldnn_BAcd16a16b, mkldnn_BAcd16b16a, mkldnn_format_tag_last, mkldnn_x = mkldnn_a, mkldnn_nc = mkldnn_ab, mkldnn_cn = mkldnn_ba, mkldnn_ncw = mkldnn_abc, mkldnn_nwc = mkldnn_acb, mkldnn_nchw = mkldnn_abcd, mkldnn_nhwc = mkldnn_acdb, mkldnn_chwn = mkldnn_bcda, mkldnn_ncdhw = mkldnn_abcde, mkldnn_ndhwc = mkldnn_acdeb, mkldnn_oi = mkldnn_ab, mkldnn_io = mkldnn_ba, mkldnn_oiw = mkldnn_abc, mkldnn_owi = mkldnn_acb, mkldnn_wio = mkldnn_cba, mkldnn_iwo = mkldnn_bca, mkldnn_oihw = mkldnn_abcd, mkldnn_hwio = mkldnn_cdba, mkldnn_ohwi = mkldnn_acdb, mkldnn_ihwo = mkldnn_bcda, mkldnn_iohw = mkldnn_bacd, mkldnn_oidhw = mkldnn_abcde, mkldnn_dhwio = mkldnn_cdeba, mkldnn_odhwi = mkldnn_acdeb, mkldnn_idhwo = mkldnn_bcdea, mkldnn_goiw = mkldnn_abcd, mkldnn_goihw = mkldnn_abcde, mkldnn_hwigo = mkldnn_decab, mkldnn_giohw = mkldnn_acbde, mkldnn_goidhw = mkldnn_abcdef, mkldnn_tnc = mkldnn_abc, mkldnn_ntc = mkldnn_bac, mkldnn_ldnc = mkldnn_abcd, mkldnn_ldigo = mkldnn_abcde, mkldnn_ldgoi = mkldnn_abdec, mkldnn_ldgo = mkldnn_abcd, mkldnn_nCdhw16c = mkldnn_aBcde16b, mkldnn_nCdhw4c = mkldnn_aBcde4b, mkldnn_nCdhw8c = mkldnn_aBcde8b, mkldnn_nChw16c = mkldnn_aBcd16b, mkldnn_nChw4c = mkldnn_aBcd4b, mkldnn_nChw8c = mkldnn_aBcd8b, mkldnn_nCw16c = mkldnn_aBc16b, mkldnn_nCw4c = mkldnn_aBc4b, mkldnn_nCw8c = mkldnn_aBc8b, mkldnn_NCw16n16c = mkldnn_ABc16a16b, mkldnn_NCdhw16n16c = mkldnn_ABcde16a16b, mkldnn_NChw16n16c = mkldnn_ABcd16a16b, mkldnn_NChw32n32c = mkldnn_ABcd32a32b, mkldnn_IOw16o16i = mkldnn_BAc16a16b, mkldnn_IOw16i16o = mkldnn_BAc16b16a, mkldnn_OIw16i16o = mkldnn_ABc16b16a, mkldnn_OIw16o16i = mkldnn_ABc16a16b, mkldnn_Oiw16o = mkldnn_Abc16a, mkldnn_OIw4i16o4i = mkldnn_ABc4b16a4b, mkldnn_OIw4i4o = mkldnn_ABc4b4a, mkldnn_Oiw4o = mkldnn_Abc4a, mkldnn_OIw8i16o2i = mkldnn_ABc8b16a2b, mkldnn_OIw8i8o = mkldnn_ABc8b8a, mkldnn_OIw8o16i2o = mkldnn_ABc8a16b2a, mkldnn_IOw8o16i2o = mkldnn_BAc8a16b2a, mkldnn_OIw8o8i = mkldnn_ABc8a8b, mkldnn_Owi16o = mkldnn_Acb16a, mkldnn_Owi4o = mkldnn_Acb4a, mkldnn_Owi8o = mkldnn_Acb8a, mkldnn_IOhw16i16o = mkldnn_BAcd16b16a, mkldnn_IOhw16o16i = mkldnn_BAcd16a16b, mkldnn_Ohwi16o = mkldnn_Acdb16a, mkldnn_Ohwi32o = mkldnn_Acdb32a, mkldnn_Ohwi4o = mkldnn_Acdb4a, mkldnn_Ohwi8o = mkldnn_Acdb8a, mkldnn_OIhw16i16o = mkldnn_ABcd16b16a, mkldnn_OIhw16o16i = mkldnn_ABcd16a16b, mkldnn_Oihw16o = mkldnn_Abcd16a, mkldnn_OIhw4i16o4i = mkldnn_ABcd4b16a4b, mkldnn_OIhw4i4o = mkldnn_ABcd4b4a, mkldnn_Oihw4o = mkldnn_Abcd4a, mkldnn_OIhw8i16o2i = mkldnn_ABcd8b16a2b, mkldnn_OIhw8i8o = mkldnn_ABcd8b8a, mkldnn_OIhw8o16i2o = mkldnn_ABcd8a16b2a, mkldnn_IOhw8o16i2o = mkldnn_BAcd8a16b2a, mkldnn_OIhw8o8i = mkldnn_ABcd8a8b, mkldnn_Odhwi16o = mkldnn_Acdeb16a, mkldnn_Odhwi4o = mkldnn_Acdeb4a, mkldnn_Odhwi8o = mkldnn_Acdeb8a, mkldnn_OIdhw16i16o = mkldnn_ABcde16b16a, mkldnn_OIdhw16o16i = mkldnn_ABcde16a16b, mkldnn_Oidhw16o = mkldnn_Abcde16a, mkldnn_OIdhw4i4o = mkldnn_ABcde4b4a, mkldnn_Oidhw4o = mkldnn_Abcde4a, mkldnn_OIdhw8i16o2i = mkldnn_ABcde8b16a2b, mkldnn_OIdhw8i8o = mkldnn_ABcde8b8a, mkldnn_OIdhw8o16i2o = mkldnn_ABcde8a16b2a, mkldnn_IOdhw8o16i2o = mkldnn_BAcde8a16b2a, mkldnn_OIdhw8o8i = mkldnn_ABcde8a8b, mkldnn_IOdhw16i16o = mkldnn_BAcde16b16a, mkldnn_Goiw16g = mkldnn_Abcd16a, mkldnn_gIOw16o16i = mkldnn_aCBd16b16c, mkldnn_gIOw16i16o = mkldnn_aCBd16c16b, mkldnn_gOIw16i16o = mkldnn_aBCd16c16b, mkldnn_gOIw16o16i = mkldnn_aBCd16b16c, mkldnn_gOiw16o = mkldnn_aBcd16b, mkldnn_gOIw4i16o4i = mkldnn_aBCd4c16b4c, mkldnn_gOIw4i4o = mkldnn_aBCd4c4b, mkldnn_gOiw4o = mkldnn_aBcd4b, mkldnn_gOIw8i16o2i = mkldnn_aBCd8c16b2c, mkldnn_gOIw8i8o = mkldnn_aBCd8c8b, mkldnn_gOIw8o16i2o = mkldnn_aBCd8b16c2b, mkldnn_gIOw8o16i2o = mkldnn_aCBd8b16c2b, mkldnn_gOIw8o8i = mkldnn_aBCd8b8c, mkldnn_gOwi16o = mkldnn_aBdc16b, mkldnn_gOwi4o = mkldnn_aBdc4b, mkldnn_gOwi8o = mkldnn_aBdc8b, mkldnn_gIOhw16i16o = mkldnn_aCBde16c16b, mkldnn_gIOhw16o16i = mkldnn_aCBde16b16c, mkldnn_gOhwi16o = mkldnn_aBdec16b, mkldnn_gOhwi32o = mkldnn_aBdec32b, mkldnn_gOhwi4o = mkldnn_aBdec4b, mkldnn_gOhwi8o = mkldnn_aBdec8b, mkldnn_Goihw16g = mkldnn_Abcde16a, mkldnn_gOIhw16i16o = mkldnn_aBCde16c16b, mkldnn_gOIhw16o16i = mkldnn_aBCde16b16c, mkldnn_gOihw16o = mkldnn_aBcde16b, mkldnn_gOIhw2i8o4i = mkldnn_aBCde2c8b4c, mkldnn_gOIhw4i16o4i = mkldnn_aBCde4c16b4c, mkldnn_gOIhw4i4o = mkldnn_aBCde4c4b, mkldnn_gOIhw4o4i = mkldnn_aBCde4b4c, mkldnn_gOihw4o = mkldnn_aBcde4b, mkldnn_Goihw8g = mkldnn_Abcde8a, mkldnn_gOIhw8i16o2i = mkldnn_aBCde8c16b2c, mkldnn_gOIhw8i8o = mkldnn_aBCde8c8b, mkldnn_gOIhw8o16i2o = mkldnn_aBCde8b16c2b, mkldnn_gIOhw8o16i2o = mkldnn_aCBde8b16c2b, mkldnn_gOIhw8o8i = mkldnn_aBCde8b8c, mkldnn_OIhw4o8i8o4i = mkldnn_ABcd4a8b8a4b, mkldnn_OIhw2o8i8o2i = mkldnn_ABcd2a8b8a2b, mkldnn_gOIhw4o8i8o4i = mkldnn_aBCde4b8c8b4c, mkldnn_gOIhw2o8i8o2i = mkldnn_aBCde2b8c8b2c, mkldnn_gIOdhw16i16o = mkldnn_aCBdef16c16b, mkldnn_gOdhwi16o = mkldnn_aBdefc16b, mkldnn_gOdhwi4o = mkldnn_aBdefc4b, mkldnn_gOdhwi8o = mkldnn_aBdefc8b, mkldnn_gOIdhw16i16o = mkldnn_aBCdef16c16b, mkldnn_gOIdhw16o16i = mkldnn_aBCdef16b16c, mkldnn_gOidhw16o = mkldnn_aBcdef16b, mkldnn_gOIdhw4i4o = mkldnn_aBCdef4c4b, mkldnn_gOidhw4o = mkldnn_aBcdef4b, mkldnn_gOIdhw8i16o2i = mkldnn_aBCdef8c16b2c, mkldnn_gOIdhw8i8o = mkldnn_aBCdef8c8b, mkldnn_gOIdhw8o16i2o = mkldnn_aBCdef8b16c2b, mkldnn_gIOdhw8o16i2o = mkldnn_aCBdef8b16c2b, mkldnn_gOIdhw8o8i = mkldnn_aBCdef8b8c, mkldnn_Goidhw16g = mkldnn_Abcdef16a }

enum	mkldnn_prop_kind_t { mkldnn_prop_kind_undef = 0, mkldnn_forward_training = 64, mkldnn_forward_inference = 96, mkldnn_forward_scoring = mkldnn_forward_inference, mkldnn_forward = mkldnn_forward_training, mkldnn_backward = 128, mkldnn_backward_data = 160, mkldnn_backward_weights = 192, mkldnn_backward_bias = 193 }
	Kinds of propagation. More...

enum	mkldnn_primitive_kind_t { mkldnn_undefined_primitive, mkldnn_reorder, mkldnn_shuffle, mkldnn_concat, mkldnn_sum, mkldnn_convolution, mkldnn_deconvolution, mkldnn_eltwise, mkldnn_softmax, mkldnn_pooling, mkldnn_lrn, mkldnn_batch_normalization, mkldnn_inner_product, mkldnn_rnn, mkldnn_gemm }

enum	mkldnn_alg_kind_t { mkldnn_alg_kind_undef, mkldnn_convolution_direct = 0x1, mkldnn_convolution_winograd = 0x2, mkldnn_convolution_auto = 0x3, mkldnn_deconvolution_direct = 0xa, mkldnn_deconvolution_winograd = 0xb, mkldnn_eltwise_relu = 0x1f, mkldnn_eltwise_tanh = 0x2f, mkldnn_eltwise_elu = 0x3f, mkldnn_eltwise_square = 0x4f, mkldnn_eltwise_abs = 0x5f, mkldnn_eltwise_sqrt = 0x6f, mkldnn_eltwise_linear = 0x7f, mkldnn_eltwise_bounded_relu = 0x8f, mkldnn_eltwise_soft_relu = 0x9f, mkldnn_eltwise_logistic = 0xaf, mkldnn_eltwise_exp = 0xbf, mkldnn_eltwise_gelu = 0xcf, mkldnn_pooling_max = 0x1ff, mkldnn_pooling_avg_include_padding = 0x2ff, mkldnn_pooling_avg_exclude_padding = 0x3ff, mkldnn_pooling_avg = mkldnn_pooling_avg_exclude_padding, mkldnn_lrn_across_channels = 0xaff, mkldnn_lrn_within_channel = 0xbff, mkldnn_vanilla_rnn = 0x1fff, mkldnn_vanilla_lstm = 0x2fff, mkldnn_vanilla_gru = 0x3fff, mkldnn_lbr_gru = 0x4fff }
	Kinds of algorithms. More...

enum	mkldnn_normalization_flags_t { mkldnn_use_global_stats = 0x1U, mkldnn_use_scaleshift = 0x2U, mkldnn_fuse_norm_relu = 0x4U }
	Flags for batch normalization primitive. More...

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 }
	Winograd-specific formats. More...

enum	mkldnn_rnn_packed_memory_format_t { mkldnn_packed_format_undef = 0, mkldnn_ldigo_p, mkldnn_ldgoi_p }

enum	mkldnn_memory_extra_flags_t { mkldnn_memory_extra_flag_none = 0x0U, mkldnn_memory_extra_flag_compensation_conv_s8s8 = 0x1U, mkldnn_memory_extra_flag_scale_adjust = 0x2U }
	Flags for memory special features. More...

enum	mkldnn_rnn_flags_t { mkldnn_rnn_flags_undef = 0x0 }
	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...

enum	mkldnn_engine_kind_t { mkldnn_any_engine, mkldnn_cpu, mkldnn_gpu }
	Kinds of engines. More...

enum	mkldnn_scratchpad_mode_t { mkldnn_scratchpad_mode_library, mkldnn_scratchpad_mode_user }
	Scratchpad mode. More...

enum	mkldnn_query_t { mkldnn_query_undef = 0, mkldnn_query_engine, mkldnn_query_primitive_kind, mkldnn_query_num_of_inputs_s32, mkldnn_query_num_of_outputs_s32, mkldnn_query_time_estimate_f64, mkldnn_query_memory_consumption_s64, mkldnn_query_scratchpad_engine, mkldnn_query_impl_info_str, mkldnn_query_some_d = 64, mkldnn_query_op_d, mkldnn_query_convolution_d, mkldnn_query_deconvolution_d, mkldnn_query_shuffle_d, mkldnn_query_eltwise_d, mkldnn_query_softmax_d, mkldnn_query_pooling_d, mkldnn_query_lrn_d, mkldnn_query_batch_normalization_d, mkldnn_query_inner_product_d, mkldnn_query_rnn_d, mkldnn_query_gemm_d, mkldnn_query_some_md = 128, mkldnn_query_src_md, mkldnn_query_diff_src_md, mkldnn_query_weights_md, mkldnn_query_diff_weights_md, mkldnn_query_dst_md, mkldnn_query_diff_dst_md, mkldnn_query_workspace_md, mkldnn_query_scratchpad_md }

enum	mkldnn_stream_flags_t { mkldnn_stream_default_order = 0x1U, mkldnn_stream_in_order = 0x2U, mkldnn_stream_out_of_order = 0x4U, mkldnn_stream_default_flags = mkldnn_stream_default_order }
	Stream flags. More...

Detailed Description

C API types definitions

Classes

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Typedefs

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Detailed Description