C API types definitions. More...

Classes
struct	dnnl_version_t
	Version type. More...

struct	dnnl_blocking_desc_t
	Generic description of blocked data layout for most memory formats. More...

struct	dnnl_wino_desc_t
	Description of tensor of weights for winograd 2x3 convolution. More...

struct	dnnl_rnn_packed_desc_t
	Description of tensor of packed weights for rnn. More...

struct	dnnl_memory_extra_desc_t
	Description of extra information stored in memory. More...

struct	dnnl_memory_desc_t
	Memory descriptor. More...

struct	dnnl_convolution_desc_t
	A descriptor of a convolution operation. More...

struct	dnnl_shuffle_desc_t
	A descriptor of a shuffle operation. More...

struct	dnnl_eltwise_desc_t
	A descriptor of a element-wise operation. More...

struct	dnnl_softmax_desc_t
	A descriptor of a Softmax operation. More...

struct	dnnl_pooling_desc_t
	A descriptor of a pooling operation. More...

struct	dnnl_lrn_desc_t
	A descriptor of a Local Response Normalization (LRN) operation. More...

struct	dnnl_batch_normalization_desc_t
	A descriptor of a Batch Normalization operation. More...

struct	dnnl_layer_normalization_desc_t
	A descriptor of a Layer Normalization operation. More...

struct	dnnl_inner_product_desc_t
	A descriptor of an inner product operation. More...

struct	dnnl_rnn_desc_t
	A descriptor for an RNN operation. More...

struct	dnnl_binary_desc_t
	A descriptor of a binary operation. More...

struct	dnnl_exec_arg_t
	An auxiliary structure to specify primitive's inputs/outputs at execution. More...

Macros
#define	DNNL_MAX_NDIMS 12
	Maximum number of dimensions a tensor can have. More...

#define	DNNL_RNN_MAX_N_PARTS 4
	Maximum number of parts of RNN weights tensor that require separate computation. More...

Typedefs
typedef int64_t	dnnl_dim_t
	A type to describe tensor dimension.

typedef dnnl_dim_t	dnnl_dims_t[DNNL_MAX_NDIMS]
	A type to describe tensor dimensions.

typedef struct dnnl_memory *	dnnl_memory_t
	A memory handle.

typedef const struct dnnl_memory *	const_dnnl_memory_t
	A constant memory handle.

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

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

typedef dnnl_convolution_desc_t	dnnl_deconvolution_desc_t
	A descriptor of a deconvolution operation.

typedef struct dnnl_engine *	dnnl_engine_t
	An engine handle.

typedef struct dnnl_primitive_desc_iterator *	dnnl_primitive_desc_iterator_t
	A primitive descriptor iterator handle.

typedef const struct dnnl_primitive_desc_iterator *	const_dnnl_primitive_desc_iterator_t
	A constant primitive descriptor iterator handle.

typedef struct dnnl_primitive_desc *	dnnl_primitive_desc_t
	A primitive descriptor handle.

typedef const struct dnnl_primitive_desc *	const_dnnl_primitive_desc_t
	A constant primitive descriptor handle.

typedef struct dnnl_primitive_attr *	dnnl_primitive_attr_t
	A primitive descriptor attributes handle that controls primitive behavior. More...

typedef const struct dnnl_primitive_attr *	const_dnnl_primitive_attr_t
	A constant primitive descriptor attributes handle.

typedef struct dnnl_post_ops *	dnnl_post_ops_t
	A post operation chain handle.

typedef const struct dnnl_post_ops *	const_dnnl_post_ops_t
	A constant post operation chain handle.

typedef struct dnnl_primitive *	dnnl_primitive_t
	A primitive handle.

typedef const struct dnnl_primitive *	const_dnnl_primitive_t
	A constant primitive handle.

typedef struct dnnl_stream *	dnnl_stream_t
	An execution stream handle.

typedef const struct dnnl_stream *	const_dnnl_stream_t
	A constant execution stream handle.

Enumerations
enum	dnnl_status_t { dnnl_success = 0, dnnl_out_of_memory = 1, dnnl_invalid_arguments = 2, dnnl_unimplemented = 3, dnnl_iterator_ends = 4, dnnl_runtime_error = 5, dnnl_not_required = 6 }
	Status values returned by the library functions. More...

enum	dnnl_data_type_t { dnnl_data_type_undef = 0, dnnl_f16 = 1, dnnl_bf16 = 2, dnnl_f32 = 3, dnnl_s32 = 4, dnnl_s8 = 5, dnnl_u8 = 6 }
	Data type specification. More...

enum	dnnl_format_kind_t { dnnl_format_kind_undef = 0, dnnl_format_kind_any, dnnl_blocked, dnnl_format_kind_wino, dnnl_format_kind_rnn_packed }
	Memory format kind. More...

enum	dnnl_format_tag_t { dnnl_format_tag_undef = 0, dnnl_format_tag_any, dnnl_a, dnnl_ab, dnnl_abc, dnnl_abcd, dnnl_abcde, dnnl_abcdef, dnnl_abdec, dnnl_acb, dnnl_acbde, dnnl_acdb, dnnl_acdeb, dnnl_ba, dnnl_bac, dnnl_bacd, dnnl_bca, dnnl_bcda, dnnl_bcdea, dnnl_cba, dnnl_cdba, dnnl_cdeba, dnnl_decab , dnnl_aBc16b , dnnl_aBc4b , dnnl_aBc8b , dnnl_aBcd16b , dnnl_aBcd4b , dnnl_aBcd8b , dnnl_ABcd8b8a , dnnl_aBcde16b , dnnl_aBcde4b , dnnl_aBcde8b , dnnl_aBcdef16b , dnnl_aBcdef4b , dnnl_format_tag_last, dnnl_x = dnnl_a, dnnl_nc = dnnl_ab, dnnl_cn = dnnl_ba, dnnl_tn = dnnl_ab, dnnl_nt = dnnl_ba, dnnl_ncw = dnnl_abc, dnnl_nwc = dnnl_acb, dnnl_nchw = dnnl_abcd, dnnl_nhwc = dnnl_acdb, dnnl_chwn = dnnl_bcda, dnnl_ncdhw = dnnl_abcde, dnnl_ndhwc = dnnl_acdeb, dnnl_oi = dnnl_ab, dnnl_io = dnnl_ba, dnnl_oiw = dnnl_abc, dnnl_owi = dnnl_acb, dnnl_wio = dnnl_cba, dnnl_iwo = dnnl_bca, dnnl_oihw = dnnl_abcd, dnnl_hwio = dnnl_cdba, dnnl_ohwi = dnnl_acdb, dnnl_ihwo = dnnl_bcda, dnnl_iohw = dnnl_bacd, dnnl_oidhw = dnnl_abcde, dnnl_dhwio = dnnl_cdeba, dnnl_odhwi = dnnl_acdeb, dnnl_idhwo = dnnl_bcdea, dnnl_goiw = dnnl_abcd, dnnl_goihw = dnnl_abcde, dnnl_hwigo = dnnl_decab, dnnl_giohw = dnnl_acbde, dnnl_goidhw = dnnl_abcdef, dnnl_tnc = dnnl_abc, dnnl_ntc = dnnl_bac, dnnl_ldnc = dnnl_abcd, dnnl_ldigo = dnnl_abcde, dnnl_ldgoi = dnnl_abdec, dnnl_ldgo = dnnl_abcd, dnnl_nCdhw16c = dnnl_aBcde16b, dnnl_nCdhw4c = dnnl_aBcde4b, dnnl_nCdhw8c = dnnl_aBcde8b, dnnl_nChw16c = dnnl_aBcd16b, dnnl_nChw4c = dnnl_aBcd4b, dnnl_nChw8c = dnnl_aBcd8b, dnnl_nCw16c = dnnl_aBc16b, dnnl_nCw4c = dnnl_aBc4b, dnnl_nCw8c = dnnl_aBc8b }
	Memory format tag specification. More...

enum	dnnl_prop_kind_t { dnnl_prop_kind_undef = 0, dnnl_forward_training = 64, dnnl_forward_inference = 96, dnnl_forward_scoring = dnnl_forward_inference, dnnl_forward = dnnl_forward_training, dnnl_backward = 128, dnnl_backward_data = 160, dnnl_backward_weights = 192, dnnl_backward_bias = 193 }
	Kinds of propagation. More...

enum	dnnl_primitive_kind_t { dnnl_undefined_primitive, dnnl_reorder, dnnl_shuffle, dnnl_concat, dnnl_sum, dnnl_convolution, dnnl_deconvolution, dnnl_eltwise, dnnl_softmax, dnnl_pooling, dnnl_lrn, dnnl_batch_normalization, dnnl_layer_normalization, dnnl_inner_product, dnnl_rnn, dnnl_gemm, dnnl_binary }
	Kinds of primitives. More...

enum	dnnl_alg_kind_t { , dnnl_convolution_direct = 0x1, dnnl_convolution_winograd = 0x2, dnnl_convolution_auto = 0x3, dnnl_deconvolution_direct = 0xa, dnnl_deconvolution_winograd = 0xb, dnnl_eltwise_relu = 0x1f, dnnl_eltwise_tanh = 0x2f, dnnl_eltwise_elu = 0x3f, dnnl_eltwise_square = 0x4f, dnnl_eltwise_abs = 0x5f, dnnl_eltwise_sqrt = 0x6f, dnnl_eltwise_linear = 0x7f, dnnl_eltwise_bounded_relu = 0x8f, dnnl_eltwise_soft_relu = 0x9f, dnnl_eltwise_logistic = 0xaf, dnnl_eltwise_exp = 0xbf, dnnl_eltwise_gelu = 0xcf, dnnl_eltwise_swish = 0xdf, dnnl_pooling_max = 0x1ff, dnnl_pooling_avg_include_padding = 0x2ff, dnnl_pooling_avg_exclude_padding = 0x3ff , dnnl_lrn_across_channels = 0xaff, dnnl_lrn_within_channel = 0xbff, dnnl_vanilla_rnn = 0x1fff, dnnl_vanilla_lstm = 0x2fff, dnnl_vanilla_gru = 0x3fff, dnnl_lbr_gru = 0x4fff, dnnl_binary_add = 0x1fff0, dnnl_binary_mul = 0x1fff1 }
	Kinds of algorithms. More...

enum	dnnl_normalization_flags_t { dnnl_use_global_stats = 0x1U, dnnl_use_scaleshift = 0x2U, dnnl_fuse_norm_relu = 0x4U }
	Flags for batch normalization primitive. More...

enum	dnnl_wino_memory_format_t { dnnl_wino_undef = 0, dnnl_wino_wei_aaOIoi, dnnl_wino_wei_aaOio, dnnl_wino_wei_aaOBiOo, dnnl_wino_wei_OBaaIBOIio }
	Winograd-specific formats. More...

enum	dnnl_memory_extra_flags_t { , dnnl_memory_extra_flag_compensation_conv_s8s8 = 0x1U }
	Flags for memory special features. More...

enum	dnnl_rnn_flags_t
	Flags for RNN cell.

enum	dnnl_rnn_direction_t { dnnl_unidirectional_left2right, dnnl_unidirectional_right2left, dnnl_bidirectional_concat, dnnl_bidirectional_sum }
	A direction of RNN primitive execution. More...

enum	dnnl_engine_kind_t { dnnl_any_engine, dnnl_cpu, dnnl_gpu }
	Kinds of engines. More...

enum	dnnl_scratchpad_mode_t { dnnl_scratchpad_mode_library, dnnl_scratchpad_mode_user }
	Scratchpad mode. More...

enum	dnnl_query_t { dnnl_query_undef = 0, dnnl_query_engine, dnnl_query_primitive_kind, dnnl_query_num_of_inputs_s32, dnnl_query_num_of_outputs_s32, dnnl_query_time_estimate_f64, dnnl_query_memory_consumption_s64, dnnl_query_scratchpad_engine, dnnl_query_impl_info_str, dnnl_query_reorder_src_engine, dnnl_query_reorder_dst_engine, dnnl_query_prop_kind, dnnl_query_some_d = 64, dnnl_query_op_d, dnnl_query_convolution_d, dnnl_query_deconvolution_d, dnnl_query_shuffle_d, dnnl_query_eltwise_d, dnnl_query_softmax_d, dnnl_query_pooling_d, dnnl_query_lrn_d, dnnl_query_batch_normalization_d, dnnl_query_layer_normalization_d, dnnl_query_inner_product_d, dnnl_query_rnn_d, dnnl_query_gemm_d, dnnl_query_binary_d, dnnl_query_some_md = 128, dnnl_query_src_md, dnnl_query_diff_src_md, dnnl_query_weights_md, dnnl_query_diff_weights_md, dnnl_query_dst_md, dnnl_query_diff_dst_md, dnnl_query_workspace_md, dnnl_query_scratchpad_md }
	Primitive descriptor query specification. More...

enum	dnnl_stream_flags_t { dnnl_stream_default_order = 0x1U, dnnl_stream_in_order = 0x2U, dnnl_stream_out_of_order = 0x4U, dnnl_stream_default_flags = dnnl_stream_default_order }
	Stream flags. More...

Detailed Description

C API types definitions.

Classes

Macros

Typedefs

Enumerations

Detailed Description