genindex
A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Z
A
- a 
- ab 
- abc 
- abcd 
- aBcd8b 
- ABcd8b8a 
- abcde 
- abcdef 
- abcdefg 
- abcdefgh 
- abcdefghi 
- abcdefghij 
- abcdefghijk 
- abcdefghijkl 
- abcdefghijlk 
- abcdefghikj 
- abcdefghji 
- abcdefgih 
- abcdefhg 
- abcdegf 
- abcdfe 
- abced 
- abdc 
- abdec 
- abdefc 
- abdfce 
- Abs 
- AbsBackward 
- acb 
- acbd 
- acbde 
- acbdef 
- acdb 
- acdeb 
- activation_kind 
- adbc 
- Add 
- add_input 
- add_inputs 
- add_op 
- add_output 
- add_outputs 
- alg_kind 
- algorithm 
- Allocator 
- allocator 
- alpha 
- alpha_f32 
- any 
- API 
- append_binary 
- append_dw 
- append_eltwise 
- append_prelu 
- append_sum 
- arg 
- args_t 
- ASYNCHRONOUS 
- attention_desc 
- attr 
- Attributes 
- AUGRU RNN Primitive Example 
- augru.cpp 
- augru_attention_desc 
- augru_backward 
- augru_forward 
- auto_broadcast 
- auto_pad 
- AvgPool 
- AvgPoolBackward 
- avx 
- avx2 
- avx2_vnni 
- avx2_vnni_2 
- avx512_core 
- avx512_core_amx 
- avx512_core_amx_fp16 
- avx512_core_bf16 
- avx512_core_fp16 
- avx512_core_vnni 
- axes 
- axis 
- axis_s32 
B
- ba 
- bac 
- bacd 
- bacde 
- backward 
- backward_bias 
- backward_data 
- backward_weights 
- Basic Concepts 
- Batch Normalization 
- Batch Normalization Primitive Example 
- batch_normalization 
- batch_normalization.cpp 
- batch_normalization_backward 
- batch_normalization_forward 
- BatchNormForwardTraining 
- BatchNormInference 
- BatchNormTrainingBackward 
- bca 
- bcda 
- bcdea 
- begin_norm_axis 
- Benchmarking Performance 
- beta 
- beta_f32 
- bf16 
- Bfloat16 Training 
- bias_desc - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] 
 
- BiasAdd 
- BiasAddBackward 
- bidirectional_concat 
- bidirectional_sum 
- Binary 
- binary 
- Binary Primitive Example 
- binary.cpp 
- binary_add 
- binary_div 
- binary_eq 
- binary_ge 
- binary_gt 
- binary_le 
- binary_lt 
- binary_max 
- binary_min 
- binary_mul 
- binary_ne 
- binary_sub 
- BLAS functions 
- blocked 
- Bnorm u8 by binary post-ops example 
- bnorm_u8_via_binary_postops.cpp 
- boolean 
- buffer 
- Build from Source 
- Build Options 
C
- cache_blob_id 
- cache_blob_id_size_s64 
- cba 
- cdba 
- cdeba 
- cell_kind 
- chwn 
- Clamp 
- ClampBackward 
- class 
- cn 
- CNN bf16 training example 
- CNN f32 inference example 
- CNN f32 training example 
- CNN int8 inference example 
- cnn_inference_f32.c 
- cnn_inference_f32.cpp 
- cnn_inference_int8.cpp 
- cnn_training_bf16.cpp 
- cnn_training_f32.cpp 
- Common 
- Common API 
- compile 
- Compiled Partition 
- Compiled Partition Cache 
- compiled_partition 
- Concat 
- concat 
- Concat Primitive Example 
- concat.cpp 
- Configuring oneDNN for Benchmarking 
- const_dnnl_graph_allocator_t 
- const_dnnl_graph_compiled_partition_t 
- const_dnnl_graph_graph_t 
- const_dnnl_graph_op_t 
- const_dnnl_graph_partition_t 
- const_dnnl_graph_tensor_t 
- const_dnnl_memory_desc_t 
- const_dnnl_memory_t 
- const_dnnl_post_ops_t 
- const_dnnl_primitive_attr_t 
- const_dnnl_primitive_desc_t 
- const_dnnl_primitive_t 
- const_dnnl_stream_t 
- constant 
- Constant Tensor Cache 
- convert_to_c 
- Convolution 
- convolution 
- Convolution int8 inference example with Graph API 
- Convolution Primitive Example 
- convolution.cpp 
- convolution_auto 
- convolution_backward_data 
- convolution_backward_weights 
- convolution_direct 
- convolution_forward 
- convolution_winograd 
- ConvolutionBackwardData 
- ConvolutionBackwardWeights 
- ConvTranspose 
- ConvTransposeBackwardData 
- ConvTransposeBackwardWeights 
- coordinate_transformation_mode 
- cpu 
- CPU Dispatcher Control 
- CPU ISA Hints 
- cpu_cnn_training_f32.c 
- cpu_deletor 
- cpu_getting_started.cpp 
- cpu_inference_int8.cpp 
- cpu_isa 
- cpu_isa_hints 
- cpu_matmul_quantization.cpp 
- cpu_rnn_inference_f32.cpp 
- cpu_rnn_inference_int8.cpp 
- cpu_runtime 
- cpu_sgemm_and_matmul.cpp 
- cross_engine_reorder.c 
- cross_engine_reorder.cpp 
D
- Data Types 
- Data types 
- data_format 
- data_type 
- data_type_size 
- dcab 
- debug 
- decab 
- Deconvolution 
- deconvolution 
- deconvolution_backward_data 
- deconvolution_backward_weights 
- deconvolution_direct 
- deconvolution_forward 
- deconvolution_winograd 
- default_flags 
- defcab 
- define 
- Dequantize 
- desc 
- dhwigo 
- dhwio 
- diff_attention_desc 
- diff_augru_attention_desc 
- diff_bias_desc 
- diff_dst_desc - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] 
 
- diff_dst_iter_c_desc 
- diff_dst_iter_desc 
- diff_dst_layer_desc 
- diff_dst_md 
- diff_src_desc 
- diff_src_iter_c_desc 
- diff_src_iter_desc 
- diff_src_layer_desc 
- diff_src_md 
- diff_weights_desc 
- diff_weights_iter_desc 
- diff_weights_layer_desc 
- diff_weights_md 
- diff_weights_overwrite 
- diff_weights_peephole_desc 
- diff_weights_projection_desc 
- dilations 
- dim 
- dims 
- direction 
- Divide 
- dnnl 
- dnnl::augru_backward 
- dnnl::augru_backward::primitive_desc 
- dnnl::augru_forward 
- dnnl::augru_forward::primitive_desc 
- dnnl::batch_normalization_backward 
- dnnl::batch_normalization_backward::primitive_desc 
- dnnl::batch_normalization_forward 
- dnnl::batch_normalization_forward::primitive_desc 
- dnnl::binary 
- dnnl::binary::primitive_desc 
- dnnl::concat 
- dnnl::concat::primitive_desc 
- dnnl::convolution_backward_data 
- dnnl::convolution_backward_data::primitive_desc 
- dnnl::convolution_backward_weights 
- dnnl::convolution_backward_weights::primitive_desc 
- dnnl::convolution_forward 
- dnnl::convolution_forward::primitive_desc 
- dnnl::deconvolution_backward_data 
- dnnl::deconvolution_backward_data::primitive_desc 
- dnnl::deconvolution_backward_weights 
- dnnl::deconvolution_backward_weights::primitive_desc 
- dnnl::deconvolution_forward 
- dnnl::deconvolution_forward::primitive_desc 
- dnnl::eltwise_backward 
- dnnl::eltwise_backward::primitive_desc 
- dnnl::eltwise_forward 
- dnnl::eltwise_forward::primitive_desc 
- dnnl::engine 
- dnnl::error 
- dnnl::graph 
- dnnl::graph::allocator 
- dnnl::graph::compiled_partition 
- dnnl::graph::graph 
- dnnl::graph::logical_tensor 
- dnnl::graph::op 
- dnnl::graph::partition 
- dnnl::graph::sycl_interop 
- dnnl::graph::tensor 
- dnnl::group_normalization_backward 
- dnnl::group_normalization_backward::primitive_desc 
- dnnl::group_normalization_forward 
- dnnl::group_normalization_forward::primitive_desc 
- dnnl::gru_backward 
- dnnl::gru_backward::primitive_desc 
- dnnl::gru_forward 
- dnnl::gru_forward::primitive_desc 
- dnnl::handle 
- dnnl::handle_traits 
- dnnl::inner_product_backward_data 
- dnnl::inner_product_backward_data::primitive_desc 
- dnnl::inner_product_backward_weights 
- dnnl::inner_product_backward_weights::primitive_desc 
- dnnl::inner_product_forward 
- dnnl::inner_product_forward::primitive_desc 
- dnnl::layer_normalization_backward 
- dnnl::layer_normalization_backward::primitive_desc 
- dnnl::layer_normalization_forward 
- dnnl::layer_normalization_forward::primitive_desc 
- dnnl::lbr_augru_backward 
- dnnl::lbr_augru_backward::primitive_desc 
- dnnl::lbr_augru_forward 
- dnnl::lbr_augru_forward::primitive_desc 
- dnnl::lbr_gru_backward 
- dnnl::lbr_gru_backward::primitive_desc 
- dnnl::lbr_gru_forward 
- dnnl::lbr_gru_forward::primitive_desc 
- dnnl::lrn_backward 
- dnnl::lrn_backward::primitive_desc 
- dnnl::lrn_forward 
- dnnl::lrn_forward::primitive_desc 
- dnnl::lstm_backward 
- dnnl::lstm_backward::primitive_desc 
- dnnl::lstm_forward 
- dnnl::lstm_forward::primitive_desc 
- dnnl::matmul 
- dnnl::matmul::primitive_desc 
- dnnl::memory 
- dnnl::memory::desc 
- dnnl::ocl_interop 
- dnnl::pooling_backward 
- dnnl::pooling_backward::primitive_desc 
- dnnl::pooling_forward 
- dnnl::pooling_forward::primitive_desc 
- dnnl::post_ops 
- dnnl::prelu_backward 
- dnnl::prelu_backward::primitive_desc 
- dnnl::prelu_forward 
- dnnl::prelu_forward::primitive_desc 
- dnnl::primitive 
- dnnl::primitive_attr 
- dnnl::primitive_desc 
- dnnl::primitive_desc_base 
- dnnl::reduction 
- dnnl::reduction::primitive_desc 
- dnnl::reorder 
- dnnl::reorder::primitive_desc 
- dnnl::resampling_backward 
- dnnl::resampling_backward::primitive_desc 
- dnnl::resampling_forward 
- dnnl::resampling_forward::primitive_desc 
- dnnl::rnn_primitive_desc_base 
- dnnl::shuffle_backward 
- dnnl::shuffle_backward::primitive_desc 
- dnnl::shuffle_forward 
- dnnl::shuffle_forward::primitive_desc 
- dnnl::softmax_backward 
- dnnl::softmax_backward::primitive_desc 
- dnnl::softmax_forward 
- dnnl::softmax_forward::primitive_desc 
- dnnl::stream 
- dnnl::sum 
- dnnl::sum::primitive_desc 
- dnnl::sycl_interop 
- dnnl::threadpool_interop 
- dnnl::threadpool_interop::threadpool_iface 
- dnnl::vanilla_rnn_backward 
- dnnl::vanilla_rnn_backward::primitive_desc 
- dnnl::vanilla_rnn_forward 
- dnnl::vanilla_rnn_forward::primitive_desc 
- dnnl_a 
- dnnl_ab 
- dnnl_abc 
- dnnl_aBc16b 
- dnnl_aBc32b 
- dnnl_aBc4b 
- dnnl_aBc8b 
- dnnl_abcd 
- dnnl_aBcd16b 
- dnnl_aBCd2b4c2b 
- dnnl_aBcd32b 
- dnnl_aBcd4b 
- dnnl_aBcd8b 
- dnnl_ABcd8b8a 
- dnnl_abcde 
- dnnl_aBcde16b 
- dnnl_aBCde2b4c2b 
- dnnl_ABcde2b8a4b 
- dnnl_aBcde32b 
- dnnl_aBcde4b 
- dnnl_ABcde4b16a4b 
- dnnl_aBcde8b 
- dnnl_abcdef 
- dnnl_aBcdef16b 
- dnnl_aBCdef2b4c2b 
- dnnl_aBCdef2c8b4c 
- dnnl_aBcdef4b 
- dnnl_abcdefg 
- dnnl_abcdefgh 
- dnnl_abcdefghi 
- dnnl_abcdefghij 
- dnnl_abcdefghijk 
- dnnl_abcdefghijkl 
- dnnl_abcdefghijlk 
- dnnl_abcdefghikj 
- dnnl_abcdefghji 
- dnnl_abcdefgih 
- dnnl_abcdefhg 
- dnnl_abcdegf 
- dnnl_abcdfe 
- dnnl_abced 
- dnnl_abdc 
- dnnl_abdec 
- dnnl_abdefc 
- dnnl_abdfce 
- dnnl_acb 
- dnnl_acbd 
- dnnl_acbde 
- dnnl_acbdef 
- dnnl_acdb 
- dnnl_acdeb 
- dnnl_adbc 
- dnnl_adcb 
- dnnl_adecb 
- dnnl_adefcb 
- dnnl_alg_kind_t 
- dnnl_any_engine 
- DNNL_ARG_ATTR_MULTIPLE_POST_OP 
- DNNL_ARG_ATTR_MULTIPLE_POST_OP_BASE 
- DNNL_ARG_ATTR_OUTPUT_SCALES 
- DNNL_ARG_ATTR_POST_OP_DW 
- DNNL_ARG_ATTR_SCALES 
- DNNL_ARG_ATTR_ZERO_POINTS 
- DNNL_ARG_AUGRU_ATTENTION 
- DNNL_ARG_BIAS 
- DNNL_ARG_DIFF_AUGRU_ATTENTION 
- DNNL_ARG_DIFF_BIAS 
- DNNL_ARG_DIFF_DST 
- DNNL_ARG_DIFF_DST_0 
- DNNL_ARG_DIFF_DST_1 
- DNNL_ARG_DIFF_DST_2 
- DNNL_ARG_DIFF_DST_ITER 
- DNNL_ARG_DIFF_DST_ITER_C 
- DNNL_ARG_DIFF_DST_LAYER 
- DNNL_ARG_DIFF_SCALE 
- DNNL_ARG_DIFF_SHIFT 
- DNNL_ARG_DIFF_SRC 
- DNNL_ARG_DIFF_SRC_0 
- DNNL_ARG_DIFF_SRC_1 
- DNNL_ARG_DIFF_SRC_2 
- DNNL_ARG_DIFF_SRC_3 
- DNNL_ARG_DIFF_SRC_ITER 
- DNNL_ARG_DIFF_SRC_ITER_C 
- DNNL_ARG_DIFF_SRC_LAYER 
- DNNL_ARG_DIFF_WEIGHTS 
- DNNL_ARG_DIFF_WEIGHTS_0 
- DNNL_ARG_DIFF_WEIGHTS_1 
- DNNL_ARG_DIFF_WEIGHTS_2 
- DNNL_ARG_DIFF_WEIGHTS_3 
- DNNL_ARG_DIFF_WEIGHTS_ITER 
- DNNL_ARG_DIFF_WEIGHTS_LAYER 
- DNNL_ARG_DIFF_WEIGHTS_PEEPHOLE 
- DNNL_ARG_DIFF_WEIGHTS_PROJECTION 
- DNNL_ARG_DST 
- DNNL_ARG_DST_0 
- DNNL_ARG_DST_1 
- DNNL_ARG_DST_2 
- DNNL_ARG_DST_ITER 
- DNNL_ARG_DST_ITER_C 
- DNNL_ARG_DST_LAYER 
- DNNL_ARG_FROM 
- DNNL_ARG_MEAN 
- DNNL_ARG_MULTIPLE_DST 
- DNNL_ARG_MULTIPLE_SRC 
- DNNL_ARG_SCALE 
- DNNL_ARG_SCRATCHPAD 
- DNNL_ARG_SHIFT 
- DNNL_ARG_SRC 
- DNNL_ARG_SRC_0 
- DNNL_ARG_SRC_1 
- DNNL_ARG_SRC_2 
- DNNL_ARG_SRC_3 
- DNNL_ARG_SRC_ITER 
- DNNL_ARG_SRC_ITER_C 
- DNNL_ARG_SRC_LAYER 
- DNNL_ARG_TO 
- DNNL_ARG_VARIANCE 
- DNNL_ARG_WEIGHTS 
- DNNL_ARG_WEIGHTS_0 
- DNNL_ARG_WEIGHTS_1 
- DNNL_ARG_WEIGHTS_2 
- DNNL_ARG_WEIGHTS_3 
- DNNL_ARG_WEIGHTS_ITER 
- DNNL_ARG_WEIGHTS_LAYER 
- DNNL_ARG_WEIGHTS_PEEPHOLE 
- DNNL_ARG_WEIGHTS_PROJECTION 
- DNNL_ARG_WORKSPACE 
- dnnl_augru_backward_primitive_desc_create 
- dnnl_augru_forward_primitive_desc_create 
- dnnl_ba 
- dnnl_bac 
- dnnl_bacd 
- dnnl_bacde 
- dnnl_backward 
- dnnl_backward_bias 
- dnnl_backward_data 
- dnnl_backward_weights 
- dnnl_batch_normalization 
- dnnl_batch_normalization_backward_primitive_desc_create 
- dnnl_batch_normalization_forward_primitive_desc_create 
- dnnl_bca 
- dnnl_bcda 
- dnnl_bcdea 
- dnnl_bf16 
- dnnl_bidirectional_concat 
- dnnl_bidirectional_sum 
- dnnl_binary 
- dnnl_binary_add 
- dnnl_binary_div 
- dnnl_binary_eq 
- dnnl_binary_ge 
- dnnl_binary_gt 
- dnnl_binary_le 
- dnnl_binary_lt 
- dnnl_binary_max 
- dnnl_binary_min 
- dnnl_binary_mul 
- dnnl_binary_ne 
- dnnl_binary_primitive_desc_create 
- dnnl_binary_sub 
- dnnl_blocked 
- dnnl_boolean 
- dnnl_cab 
- dnnl_cba 
- dnnl_cdab 
- dnnl_cdba 
- dnnl_cdeab 
- dnnl_cdeba 
- dnnl_chwn 
- dnnl_cn 
- dnnl_concat 
- dnnl_concat_primitive_desc_create 
- dnnl_convolution 
- dnnl_convolution_auto 
- dnnl_convolution_backward_data_primitive_desc_create 
- dnnl_convolution_backward_weights_primitive_desc_create 
- dnnl_convolution_direct 
- dnnl_convolution_forward_primitive_desc_create 
- dnnl_convolution_winograd 
- dnnl_cpu 
- dnnl_cpu_isa_avx 
- dnnl_cpu_isa_avx2 
- dnnl_cpu_isa_avx2_vnni 
- dnnl_cpu_isa_avx2_vnni_2 
- dnnl_cpu_isa_avx512_core 
- dnnl_cpu_isa_avx512_core_amx 
- dnnl_cpu_isa_avx512_core_amx_fp16 
- dnnl_cpu_isa_avx512_core_bf16 
- dnnl_cpu_isa_avx512_core_fp16 
- dnnl_cpu_isa_avx512_core_vnni 
- dnnl_cpu_isa_default 
- dnnl_cpu_isa_hints_t 
- dnnl_cpu_isa_no_hints 
- dnnl_cpu_isa_prefer_ymm 
- dnnl_cpu_isa_sse41 
- dnnl_cpu_isa_t 
- dnnl_data_type_max 
- dnnl_data_type_size 
- dnnl_data_type_t 
- dnnl_data_type_undef 
- dnnl_dcab 
- dnnl_decab 
- dnnl_deconvolution 
- dnnl_deconvolution_backward_data_primitive_desc_create 
- dnnl_deconvolution_backward_weights_primitive_desc_create 
- dnnl_deconvolution_direct 
- dnnl_deconvolution_forward_primitive_desc_create 
- dnnl_deconvolution_winograd 
- dnnl_defcab 
- dnnl_dhwigo 
- dnnl_dhwio 
- dnnl_dhwoi 
- dnnl_dim_t 
- dnnl_dims_t 
- dnnl_eltwise 
- dnnl_eltwise_abs 
- dnnl_eltwise_backward_primitive_desc_create 
- dnnl_eltwise_clip 
- dnnl_eltwise_clip_v2 
- dnnl_eltwise_clip_v2_use_dst_for_bwd 
- dnnl_eltwise_elu 
- dnnl_eltwise_elu_use_dst_for_bwd 
- dnnl_eltwise_exp 
- dnnl_eltwise_exp_use_dst_for_bwd 
- dnnl_eltwise_forward_primitive_desc_create 
- dnnl_eltwise_gelu_erf 
- dnnl_eltwise_gelu_tanh 
- dnnl_eltwise_hardsigmoid 
- dnnl_eltwise_hardswish 
- dnnl_eltwise_linear 
- dnnl_eltwise_log 
- dnnl_eltwise_logistic 
- dnnl_eltwise_logistic_use_dst_for_bwd 
- dnnl_eltwise_mish 
- dnnl_eltwise_pow 
- dnnl_eltwise_relu 
- dnnl_eltwise_relu_use_dst_for_bwd 
- dnnl_eltwise_round 
- dnnl_eltwise_soft_relu 
- dnnl_eltwise_sqrt 
- dnnl_eltwise_sqrt_use_dst_for_bwd 
- dnnl_eltwise_square 
- dnnl_eltwise_swish 
- dnnl_eltwise_tanh 
- dnnl_eltwise_tanh_use_dst_for_bwd 
- dnnl_engine 
- dnnl_engine_create 
- dnnl_engine_destroy 
- dnnl_engine_get_count 
- dnnl_engine_get_kind 
- dnnl_engine_kind_t 
- dnnl_engine_t 
- dnnl_exec_arg_t 
- dnnl_f16 
- dnnl_f32 
- dnnl_f64 
- dnnl_format_kind_any 
- dnnl_format_kind_max 
- dnnl_format_kind_opaque 
- dnnl_format_kind_t 
- dnnl_format_kind_undef 
- dnnl_format_tag_any 
- dnnl_format_tag_last 
- dnnl_format_tag_t 
- dnnl_format_tag_undef 
- dnnl_forward 
- dnnl_forward_inference 
- dnnl_forward_training 
- dnnl_fpmath_mode_any 
- dnnl_fpmath_mode_bf16 
- dnnl_fpmath_mode_f16 
- dnnl_fpmath_mode_strict 
- dnnl_fpmath_mode_t 
- dnnl_fpmath_mode_tf32 
- dnnl_fuse_norm_add_relu 
- dnnl_fuse_norm_relu 
- dnnl_gemm 
- dnnl_gemm_s8s8s32 
- dnnl_gemm_u8s8s32 
- dnnl_get_cpu_isa_hints 
- dnnl_get_default_fpmath_mode 
- dnnl_get_effective_cpu_isa 
- dnnl_get_primitive_cache_capacity 
- dnnl_giodhw 
- dnnl_giohw 
- dnnl_godhwi 
- dnnl_gohwi 
- dnnl_goidhw 
- dnnl_goihw 
- dnnl_goiw 
- dnnl_gowi 
- dnnl_gpu 
- dnnl_graph_add_op 
- dnnl_graph_allocator_create 
- dnnl_graph_allocator_destroy 
- dnnl_graph_allocator_t 
- dnnl_graph_compiled_partition_create 
- dnnl_graph_compiled_partition_destroy 
- dnnl_graph_compiled_partition_execute 
- dnnl_graph_compiled_partition_get_inplace_ports 
- dnnl_graph_compiled_partition_query_logical_tensor 
- dnnl_graph_compiled_partition_t 
- dnnl_graph_get_compiled_partition_cache_capacity 
- dnnl_graph_get_constant_tensor_cache 
- dnnl_graph_graph_create 
- dnnl_graph_graph_create_with_fpmath_mode 
- dnnl_graph_graph_destroy 
- dnnl_graph_graph_filter 
- dnnl_graph_graph_finalize 
- dnnl_graph_graph_get_partition_num 
- dnnl_graph_graph_get_partitions 
- dnnl_graph_graph_is_finalized 
- dnnl_graph_graph_t 
- dnnl_graph_host_allocate_f 
- dnnl_graph_host_deallocate_f 
- dnnl_graph_inplace_pair_t 
- dnnl_graph_layout_type_any 
- dnnl_graph_layout_type_opaque 
- dnnl_graph_layout_type_strided 
- dnnl_graph_layout_type_t 
- dnnl_graph_layout_type_undef 
- dnnl_graph_logical_tensor_get_mem_size 
- dnnl_graph_logical_tensor_init 
- dnnl_graph_logical_tensor_init_with_dims 
- dnnl_graph_logical_tensor_init_with_strides 
- dnnl_graph_logical_tensor_is_equal 
- dnnl_graph_logical_tensor_t 
- dnnl_graph_make_engine_with_allocator 
- dnnl_graph_op_add_input 
- dnnl_graph_op_add_output 
- dnnl_graph_op_attr_alpha 
- dnnl_graph_op_attr_auto_broadcast 
- dnnl_graph_op_attr_auto_pad 
- dnnl_graph_op_attr_axes 
- dnnl_graph_op_attr_axis 
- dnnl_graph_op_attr_begin_norm_axis 
- dnnl_graph_op_attr_beta 
- dnnl_graph_op_attr_coordinate_transformation_mode 
- dnnl_graph_op_attr_data_format 
- dnnl_graph_op_attr_dilations 
- dnnl_graph_op_attr_dst_shape 
- dnnl_graph_op_attr_epsilon 
- dnnl_graph_op_attr_exclude_pad 
- dnnl_graph_op_attr_groups 
- dnnl_graph_op_attr_keep_dims 
- dnnl_graph_op_attr_keep_stats 
- dnnl_graph_op_attr_kernel 
- dnnl_graph_op_attr_max 
- dnnl_graph_op_attr_min 
- dnnl_graph_op_attr_mode 
- dnnl_graph_op_attr_momentum 
- dnnl_graph_op_attr_order 
- dnnl_graph_op_attr_output_padding 
- dnnl_graph_op_attr_pads_begin 
- dnnl_graph_op_attr_pads_end 
- dnnl_graph_op_attr_per_channel_broadcast 
- dnnl_graph_op_attr_qtype 
- dnnl_graph_op_attr_rounding_type 
- dnnl_graph_op_attr_scales 
- dnnl_graph_op_attr_shape 
- dnnl_graph_op_attr_sizes 
- dnnl_graph_op_attr_special_zero 
- dnnl_graph_op_attr_src_shape 
- dnnl_graph_op_attr_strides 
- dnnl_graph_op_attr_t 
- dnnl_graph_op_attr_transpose_a 
- dnnl_graph_op_attr_transpose_b 
- dnnl_graph_op_attr_undef 
- dnnl_graph_op_attr_use_affine 
- dnnl_graph_op_attr_use_dst 
- dnnl_graph_op_attr_weights_format 
- dnnl_graph_op_attr_weights_shape 
- dnnl_graph_op_attr_zps 
- dnnl_graph_op_create 
- dnnl_graph_op_destroy 
- dnnl_graph_op_get_id 
- dnnl_graph_op_get_kind 
- dnnl_graph_op_kind_t 
- dnnl_graph_op_set_attr_bool 
- dnnl_graph_op_set_attr_f32 
- dnnl_graph_op_set_attr_s64 
- dnnl_graph_op_set_attr_str 
- dnnl_graph_op_t 
- dnnl_graph_partition_compile 
- dnnl_graph_partition_create_with_op 
- dnnl_graph_partition_destroy 
- dnnl_graph_partition_get_engine_kind 
- dnnl_graph_partition_get_id 
- dnnl_graph_partition_get_input_ports 
- dnnl_graph_partition_get_input_ports_num 
- dnnl_graph_partition_get_op_num 
- dnnl_graph_partition_get_ops 
- dnnl_graph_partition_get_output_ports 
- dnnl_graph_partition_get_output_ports_num 
- dnnl_graph_partition_is_supported 
- dnnl_graph_partition_policy_debug 
- dnnl_graph_partition_policy_fusion 
- dnnl_graph_partition_policy_t 
- dnnl_graph_partition_t 
- dnnl_graph_set_compiled_partition_cache_capacity 
- dnnl_graph_set_constant_tensor_cache 
- dnnl_graph_sycl_allocate_f 
- dnnl_graph_sycl_deallocate_f 
- dnnl_graph_sycl_interop_allocator_create 
- dnnl_graph_sycl_interop_compiled_partition_execute 
- dnnl_graph_sycl_interop_make_engine_with_allocator 
- dnnl_graph_tensor_create 
- dnnl_graph_tensor_destroy 
- dnnl_graph_tensor_get_data_handle 
- dnnl_graph_tensor_get_engine 
- dnnl_graph_tensor_property_constant 
- dnnl_graph_tensor_property_t 
- dnnl_graph_tensor_property_undef 
- dnnl_graph_tensor_property_variable 
- dnnl_graph_tensor_set_data_handle 
- dnnl_graph_tensor_t 
- DNNL_GRAPH_UNKNOWN_DIM 
- DNNL_GRAPH_UNKNOWN_NDIMS 
- dnnl_group_normalization 
- dnnl_group_normalization_backward_primitive_desc_create 
- dnnl_group_normalization_forward_primitive_desc_create 
- dnnl_gru_backward_primitive_desc_create 
- dnnl_gru_forward_primitive_desc_create 
- dnnl_hwigo 
- dnnl_hwio 
- dnnl_hwoi 
- dnnl_idhwo 
- dnnl_ihwo 
- dnnl_inner_product 
- dnnl_inner_product_backward_data_primitive_desc_create 
- dnnl_inner_product_backward_weights_primitive_desc_create 
- dnnl_inner_product_forward_primitive_desc_create 
- dnnl_invalid_arguments 
- dnnl_invalid_data_type 
- dnnl_invalid_graph 
- dnnl_invalid_graph_op 
- dnnl_invalid_shape 
- dnnl_io 
- dnnl_iodhw 
- dnnl_iohw 
- dnnl_iwo 
- DNNL_JIT_PROFILE_LINUX_JITDUMP 
- DNNL_JIT_PROFILE_LINUX_JITDUMP_USE_TSC 
- DNNL_JIT_PROFILE_LINUX_PERF 
- DNNL_JIT_PROFILE_LINUX_PERFMAP 
- DNNL_JIT_PROFILE_NONE 
- DNNL_JIT_PROFILE_VTUNE 
- dnnl_last_impl_reached 
- dnnl_layer_normalization 
- dnnl_layer_normalization_backward_primitive_desc_create 
- dnnl_layer_normalization_forward_primitive_desc_create 
- dnnl_lbr_augru 
- dnnl_lbr_augru_backward_primitive_desc_create 
- dnnl_lbr_augru_forward_primitive_desc_create 
- dnnl_lbr_gru 
- dnnl_lbr_gru_backward_primitive_desc_create 
- dnnl_lbr_gru_forward_primitive_desc_create 
- dnnl_ldgo 
- dnnl_ldgoi 
- dnnl_ldgOi16o 
- dnnl_ldigo 
- dnnl_ldio 
- dnnl_ldnc 
- dnnl_ldoi 
- dnnl_ldOi16o 
- dnnl_lrn 
- dnnl_lrn_across_channels 
- dnnl_lrn_backward_primitive_desc_create 
- dnnl_lrn_forward_primitive_desc_create 
- dnnl_lrn_within_channel 
- dnnl_lstm_backward_primitive_desc_create 
- dnnl_lstm_forward_primitive_desc_create 
- dnnl_matmul 
- dnnl_matmul_primitive_desc_create 
- DNNL_MAX_NDIMS 
- dnnl_memory 
- DNNL_MEMORY_ALLOCATE 
- dnnl_memory_create 
- dnnl_memory_desc 
- dnnl_memory_desc_clone 
- dnnl_memory_desc_create_submemory 
- dnnl_memory_desc_create_with_strides 
- dnnl_memory_desc_create_with_tag 
- dnnl_memory_desc_destroy 
- dnnl_memory_desc_equal 
- dnnl_memory_desc_get_size 
- dnnl_memory_desc_permute_axes 
- dnnl_memory_desc_query 
- dnnl_memory_desc_reshape 
- dnnl_memory_desc_t 
- dnnl_memory_destroy 
- dnnl_memory_get_data_handle 
- dnnl_memory_get_engine 
- dnnl_memory_get_memory_desc 
- dnnl_memory_map_data 
- DNNL_MEMORY_NONE 
- dnnl_memory_set_data_handle 
- dnnl_memory_t 
- dnnl_memory_unmap_data 
- dnnl_nc 
- dnnl_ncdhw 
- dnnl_nCdhw16c 
- dnnl_nCdhw32c 
- dnnl_nCdhw4c 
- dnnl_nCdhw8c 
- dnnl_nchw 
- dnnl_nChw16c 
- dnnl_nChw32c 
- dnnl_nChw4c 
- dnnl_nChw8c 
- dnnl_ncw 
- dnnl_nCw16c 
- dnnl_nCw32c 
- dnnl_nCw4c 
- dnnl_nCw8c 
- dnnl_ndhwc 
- dnnl_nhwc 
- dnnl_normalization_flags_none 
- dnnl_normalization_flags_t 
- dnnl_not_required 
- dnnl_nt 
- dnnl_ntc 
- dnnl_nwc 
- dnnl_ocl_interop_buffer 
- dnnl_ocl_interop_engine_create 
- dnnl_ocl_interop_engine_create_from_cache_blob 
- dnnl_ocl_interop_engine_get_cache_blob 
- dnnl_ocl_interop_engine_get_cache_blob_id 
- dnnl_ocl_interop_engine_get_context 
- dnnl_ocl_interop_get_device 
- dnnl_ocl_interop_memory_create 
- dnnl_ocl_interop_memory_get_mem_object 
- dnnl_ocl_interop_memory_get_memory_kind 
- dnnl_ocl_interop_memory_kind_t 
- dnnl_ocl_interop_memory_set_mem_object 
- dnnl_ocl_interop_primitive_execute 
- dnnl_ocl_interop_stream_create 
- dnnl_ocl_interop_stream_get_command_queue 
- dnnl_ocl_interop_usm 
- dnnl_odhwi 
- dnnl_ohwi 
- dnnl_oi 
- dnnl_oidhw 
- dnnl_oihw 
- dnnl_oiw 
- dnnl_out_of_memory 
- dnnl_owi 
- dnnl_pooling 
- dnnl_pooling_avg_exclude_padding 
- dnnl_pooling_avg_include_padding 
- dnnl_pooling_backward_primitive_desc_create 
- dnnl_pooling_forward_primitive_desc_create 
- dnnl_pooling_max 
- dnnl_post_ops 
- dnnl_post_ops_append_binary 
- dnnl_post_ops_append_dw 
- dnnl_post_ops_append_eltwise 
- dnnl_post_ops_append_prelu 
- dnnl_post_ops_append_sum 
- dnnl_post_ops_clone 
- dnnl_post_ops_create 
- dnnl_post_ops_destroy 
- dnnl_post_ops_get_kind 
- dnnl_post_ops_get_params_binary 
- dnnl_post_ops_get_params_dw 
- dnnl_post_ops_get_params_eltwise 
- dnnl_post_ops_get_params_prelu 
- dnnl_post_ops_get_params_sum 
- dnnl_post_ops_len 
- dnnl_post_ops_t 
- dnnl_prelu 
- dnnl_prelu_backward_primitive_desc_create 
- dnnl_prelu_forward_primitive_desc_create 
- dnnl_primitive 
- dnnl_primitive_attr 
- dnnl_primitive_attr_clone 
- dnnl_primitive_attr_create 
- dnnl_primitive_attr_destroy 
- dnnl_primitive_attr_get_fpmath_mode 
- dnnl_primitive_attr_get_post_ops 
- dnnl_primitive_attr_get_rnn_data_qparams 
- dnnl_primitive_attr_get_rnn_weights_projection_qparams 
- dnnl_primitive_attr_get_rnn_weights_qparams 
- dnnl_primitive_attr_get_scratchpad_mode 
- dnnl_primitive_attr_set_fpmath_mode 
- dnnl_primitive_attr_set_post_ops 
- dnnl_primitive_attr_set_rnn_data_qparams 
- dnnl_primitive_attr_set_rnn_weights_projection_qparams 
- dnnl_primitive_attr_set_rnn_weights_qparams 
- dnnl_primitive_attr_set_scales_mask 
- dnnl_primitive_attr_set_scratchpad_mode 
- dnnl_primitive_attr_set_zero_points_mask 
- dnnl_primitive_attr_t 
- dnnl_primitive_create 
- dnnl_primitive_create_from_cache_blob 
- dnnl_primitive_desc 
- dnnl_primitive_desc_clone 
- dnnl_primitive_desc_destroy 
- dnnl_primitive_desc_get_attr 
- dnnl_primitive_desc_next_impl 
- dnnl_primitive_desc_query 
- dnnl_primitive_desc_query_md 
- dnnl_primitive_desc_query_s32 
- dnnl_primitive_desc_t 
- dnnl_primitive_destroy 
- dnnl_primitive_execute 
- dnnl_primitive_get_cache_blob 
- dnnl_primitive_get_primitive_desc 
- dnnl_primitive_kind_max 
- dnnl_primitive_kind_t 
- dnnl_primitive_t 
- dnnl_prop_kind_t 
- dnnl_prop_kind_undef 
- dnnl_query_activation_kind 
- dnnl_query_alg_kind 
- dnnl_query_alpha_f32 
- dnnl_query_axis_s32 
- dnnl_query_beta_f32 
- dnnl_query_cache_blob_id 
- dnnl_query_cache_blob_id_size_s64 
- dnnl_query_cell_kind 
- dnnl_query_data_type 
- dnnl_query_diff_dst_md 
- dnnl_query_diff_src_md 
- dnnl_query_diff_weights_md 
- dnnl_query_dilations 
- dnnl_query_dims 
- dnnl_query_direction 
- dnnl_query_dst_md 
- dnnl_query_engine 
- dnnl_query_epsilon_f32 
- dnnl_query_exec_arg_md 
- dnnl_query_factors 
- dnnl_query_flags 
- dnnl_query_format_kind 
- dnnl_query_group_size_s64 
- dnnl_query_impl_info_str 
- dnnl_query_inner_blks 
- dnnl_query_inner_idxs 
- dnnl_query_inner_nblks_s32 
- dnnl_query_k_f32 
- dnnl_query_kernel 
- dnnl_query_local_size_s64 
- dnnl_query_memory_consumption_s64 
- dnnl_query_ndims_s32 
- dnnl_query_num_of_inputs_s32 
- dnnl_query_num_of_outputs_s32 
- dnnl_query_p_f32 
- dnnl_query_padded_dims 
- dnnl_query_padded_offsets 
- dnnl_query_padding_l 
- dnnl_query_padding_r 
- dnnl_query_primitive_kind 
- dnnl_query_prop_kind 
- dnnl_query_reorder_dst_engine 
- dnnl_query_reorder_src_engine 
- dnnl_query_scratchpad_engine 
- dnnl_query_scratchpad_md 
- dnnl_query_some_md 
- dnnl_query_src_md 
- dnnl_query_strides 
- dnnl_query_submemory_offset_s64 
- dnnl_query_t 
- dnnl_query_time_estimate_f64 
- dnnl_query_undef 
- dnnl_query_weights_md 
- dnnl_query_workspace_md 
- dnnl_reduction 
- dnnl_reduction_max 
- dnnl_reduction_mean 
- dnnl_reduction_min 
- dnnl_reduction_mul 
- dnnl_reduction_norm_lp_max 
- dnnl_reduction_norm_lp_power_p_max 
- dnnl_reduction_norm_lp_power_p_sum 
- dnnl_reduction_norm_lp_sum 
- dnnl_reduction_primitive_desc_create 
- dnnl_reduction_sum 
- dnnl_reorder 
- dnnl_reorder_primitive_desc_create 
- dnnl_resampling 
- dnnl_resampling_backward_primitive_desc_create 
- dnnl_resampling_forward_primitive_desc_create 
- dnnl_resampling_linear 
- dnnl_resampling_nearest 
- dnnl_rnn 
- dnnl_rnn_direction_t 
- dnnl_rnn_direction_undef 
- dnnl_rnn_flags_diff_weights_overwrite 
- dnnl_rnn_flags_t 
- dnnl_rnn_flags_undef 
- DNNL_RUNTIME_DIM_VAL 
- dnnl_runtime_error 
- DNNL_RUNTIME_F32_VAL 
- DNNL_RUNTIME_S32_VAL 
- DNNL_RUNTIME_SIZE_VAL 
- dnnl_s32 
- dnnl_s8 
- dnnl_scratchpad_mode_library 
- dnnl_scratchpad_mode_t 
- dnnl_scratchpad_mode_user 
- dnnl_set_cpu_isa_hints 
- dnnl_set_default_fpmath_mode 
- dnnl_set_jit_dump 
- dnnl_set_jit_profiling_flags 
- dnnl_set_jit_profiling_jitdumpdir 
- dnnl_set_max_cpu_isa 
- dnnl_set_primitive_cache_capacity 
- dnnl_set_verbose 
- dnnl_sgemm 
- dnnl_shuffle 
- dnnl_shuffle_backward_primitive_desc_create 
- dnnl_shuffle_forward_primitive_desc_create 
- dnnl_softmax 
- dnnl_softmax_accurate 
- dnnl_softmax_backward_primitive_desc_create 
- dnnl_softmax_forward_primitive_desc_create 
- dnnl_softmax_log 
- dnnl_status_t 
- dnnl_stream 
- dnnl_stream_create 
- dnnl_stream_default_flags 
- dnnl_stream_destroy 
- dnnl_stream_flags_t 
- dnnl_stream_get_engine 
- dnnl_stream_out_of_order 
- dnnl_stream_t 
- dnnl_stream_wait 
- dnnl_success 
- dnnl_sum 
- dnnl_sum_primitive_desc_create 
- dnnl_sycl_interop_buffer 
- dnnl_sycl_interop_engine_create 
- dnnl_sycl_interop_engine_get_context 
- dnnl_sycl_interop_engine_get_device 
- dnnl_sycl_interop_memory_create 
- dnnl_sycl_interop_memory_get_memory_kind 
- dnnl_sycl_interop_memory_kind_t 
- dnnl_sycl_interop_memory_set_buffer 
- dnnl_sycl_interop_primitive_execute 
- dnnl_sycl_interop_stream_create 
- dnnl_sycl_interop_stream_get_queue 
- dnnl_sycl_interop_usm 
- dnnl_threadpool_interop_gemm_s8s8s32 
- dnnl_threadpool_interop_gemm_u8s8s32 
- dnnl_threadpool_interop_get_max_concurrency 
- dnnl_threadpool_interop_set_max_concurrency 
- dnnl_threadpool_interop_sgemm 
- dnnl_threadpool_interop_stream_create 
- dnnl_threadpool_interop_stream_get_threadpool 
- dnnl_tn 
- dnnl_tnc 
- dnnl_u8 
- dnnl_undefined_primitive 
- dnnl_unidirectional_left2right 
- dnnl_unidirectional_right2left 
- dnnl_unimplemented 
- dnnl_use_global_stats 
- dnnl_use_scale 
- dnnl_use_shift 
- dnnl_vanilla_augru 
- dnnl_vanilla_gru 
- dnnl_vanilla_lstm 
- dnnl_vanilla_rnn 
- dnnl_vanilla_rnn_backward_primitive_desc_create 
- dnnl_vanilla_rnn_forward_primitive_desc_create 
- dnnl_version 
- dnnl_version_t 
- dnnl_wigo 
- dnnl_wio 
- dnnl_woi 
- dnnl_x 
- DPC++ Interoperability 
- dst_desc - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24] 
 
- dst_iter_c_desc 
- dst_iter_desc 
- dst_layer_desc 
- dst_md 
- dst_shape 
- DynamicDequantize 
- DynamicQuantize 
E
- Element-Wise Primitive Example 
- Eltwise 
- eltwise 
- eltwise.cpp 
- eltwise_abs 
- eltwise_backward 
- eltwise_clip 
- eltwise_clip_v2 
- eltwise_clip_v2_use_dst_for_bwd 
- eltwise_elu 
- eltwise_elu_use_dst_for_bwd 
- eltwise_exp 
- eltwise_exp_use_dst_for_bwd 
- eltwise_forward 
- eltwise_gelu_erf 
- eltwise_gelu_tanh 
- eltwise_hardsigmoid 
- eltwise_hardswish 
- eltwise_linear 
- eltwise_log 
- eltwise_logistic 
- eltwise_logistic_use_dst_for_bwd 
- eltwise_mish 
- eltwise_pow 
- eltwise_relu 
- eltwise_relu_use_dst_for_bwd 
- eltwise_round 
- eltwise_soft_relu 
- eltwise_sqrt 
- eltwise_sqrt_use_dst_for_bwd 
- eltwise_square 
- eltwise_swish 
- eltwise_tanh 
- eltwise_tanh_use_dst_for_bwd 
- Elu 
- EluBackward 
- End 
- Engine 
- engine 
- enum 
- enumvalue 
- epsilon 
- epsilon_f32 
- error 
- example 
- example_allows_unimplemented 
- Examples 
- exclude_pad 
- exec_arg_md 
- execute 
- Exp 
- Experimental features 
F
- f16 
- f32 
- factors 
- finalize 
- flags 
- Floating-point Math Mode 
- format_kind 
- format_tag 
- forward 
- forward_inference 
- forward_training 
- fpmath_mode 
- function 
- attention_desc, [1], [2], [3] 
- batch_normalization_backward, [1], [2] 
- batch_normalization_forward, [1], [2] 
- bias_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] 
- convert_to_c, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11] 
- convolution_backward_data, [1], [2] 
- convolution_backward_weights, [1], [2] 
- deconvolution_backward_data, [1], [2] 
- deconvolution_backward_weights, [1], [2] 
- desc, [1], [2], [3] 
- diff_bias_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9] 
- diff_dst_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] 
- diff_dst_iter_desc, [1], [2], [3], [4], [5], [6] 
- diff_dst_layer_desc, [1], [2], [3], [4], [5], [6] 
- diff_src_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] 
- diff_src_iter_desc, [1], [2], [3], [4], [5], [6] 
- diff_src_layer_desc, [1], [2], [3], [4], [5], [6] 
- diff_weights_desc, [1], [2], [3], [4], [5], [6], [7] 
- diff_weights_iter_desc, [1], [2], [3], [4], [5], [6] 
- diff_weights_layer_desc, [1], [2], [3], [4], [5], [6] 
- dst_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24] 
- dst_iter_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- dst_layer_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- execute, [1], [2], [3], [4], [5], [6] 
- get_algorithm, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] 
- get_alpha, [1], [2], [3], [4], [5], [6] 
- get_axis, [1], [2], [3], [4] 
- get_beta, [1], [2], [3], [4], [5], [6] 
- get_cell_kind, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- get_dilations, [1], [2], [3], [4], [5], [6], [7], [8] 
- get_direction, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- get_engine, [1], [2], [3] 
- get_epsilon, [1], [2], [3], [4], [5], [6], [7] 
- get_flags, [1], [2], [3], [4], [5], [6], [7] 
- get_group_size, [1], [2], [3], [4] 
- get_padding_l, [1], [2], [3], [4], [5], [6], [7], [8] 
- get_padding_r, [1], [2], [3], [4], [5], [6], [7], [8] 
- get_prop_kind, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39] 
- get_strides, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] 
- group_normalization_backward, [1], [2] 
- group_normalization_forward, [1], [2] 
- handle, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19] 
- inner_product_backward_data, [1], [2] 
- inner_product_backward_weights, [1], [2] 
- layer_normalization_backward, [1], [2] 
- layer_normalization_forward, [1], [2] 
- logical_tensor, [1], [2], [3], [4], [5], [6], [7] 
- make_memory, [1], [2], [3] 
- mean_desc, [1], [2], [3], [4], [5] 
- primitive, [1], [2], [3], [4] 
- primitive_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108], [109], [110], [111], [112], [113], [114], [115], [116], [117], [118], [119], [120], [121], [122], [123], [124], [125], [126], [127], [128], [129], [130], [131], [132], [133], [134], [135], [136], [137], [138], [139], [140], [141], [142], [143], [144], [145], [146], [147], [148], [149], [150], [151], [152], [153], [154], [155], [156], [157], [158], [159], [160], [161], [162], [163], [164], [165], [166], [167], [168], [169], [170], [171], [172], [173], [174], [175] 
- primitive_desc_base, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15] 
- reorder, [1], [2], [3] 
- src_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28] 
- src_iter_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- src_layer_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- variance_desc, [1], [2], [3], [4], [5] 
- weights_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] 
- weights_iter_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- weights_layer_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12] 
- weights_projection_desc, [1], [2] 
- workspace_desc, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22] 
 
- fuse_norm_add_relu 
- fuse_norm_relu 
- fusion 
G
- GELU 
- GELUBackward 
- gemm_dims_t 
- gemm_s8s8s32 
- gemm_u8s8s32 
- get 
- get_activation_kind 
- get_algorithm - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] 
 
- get_alpha 
- get_axis 
- get_beta 
- get_buffer 
- get_cache_blob 
- get_cache_blob_id 
- get_cell_kind 
- get_command_queue 
- get_compiled_partition_cache_capacity 
- get_constant_tensor_cache 
- get_context 
- get_count 
- get_cpu_isa_hints 
- get_data_handle 
- get_data_type 
- get_default_fpmath_mode 
- get_desc 
- get_device 
- get_dilations 
- get_dims 
- get_direction 
- get_dst_engine 
- get_effective_cpu_isa 
- get_engine 
- get_engine_cache_blob 
- get_engine_cache_blob_id 
- get_engine_kind 
- get_epsilon 
- get_factors 
- get_flags 
- get_format_kind 
- get_fpmath_mode 
- get_group_size 
- get_id 
- get_in_parallel 
- get_inner_blks 
- get_inner_idxs 
- get_inner_nblks 
- get_inplace_ports 
- get_input_ports 
- get_k 
- get_kernel 
- get_kind 
- get_layout_id 
- get_layout_type 
- get_local_size 
- get_mem_object 
- get_mem_size 
- get_memory_kind 
- get_ndims 
- get_num_threads 
- get_ops 
- get_ops_num 
- get_output_ports 
- get_p 
- get_padded_dims 
- get_padded_offsets 
- get_padding_l 
- get_padding_r 
- get_params_binary 
- get_params_dw 
- get_params_eltwise 
- get_params_prelu 
- get_params_sum 
- get_partitions 
- get_post_ops 
- get_primitive_attr 
- get_primitive_cache_capacity 
- get_primitive_desc 
- get_prop_kind - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39] 
 
- get_property_type 
- get_queue 
- get_rnn_data_qparams 
- get_rnn_weights_projection_qparams 
- get_rnn_weights_qparams 
- get_scratchpad_mode 
- get_size 
- get_src_engine 
- get_strides 
- get_submemory_offset 
- get_threadpool 
- Getting started 
- Getting started on both CPU and GPU with SYCL extensions API 
- Getting started on CPU with Graph API 
- Getting started on GPU with OpenCL extensions API 
- Getting started with SYCL extensions API and Graph API 
- getting_started.cpp 
- giodhw 
- giohw 
- global 
- godhwi 
- gohwi 
- goidhw 
- goihw 
- goiw 
- gowi 
- gpu 
- gpu_opencl_interop.cpp 
- gpu_runtime 
- Graph 
- graph 
- Graph API 
- Graph Compiler 
- Graph Dump 
- group 
- Group Normalization 
- Group Normalization Primitive Example 
- group_normalization 
- group_normalization.cpp 
- group_normalization_backward 
- group_normalization_forward 
- group_size_s64 
- groups 
- gru_backward 
- gru_forward 
H
- handle - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19] 
 
- HardSigmoid 
- HardSigmoidBackward 
- HardSwish 
- HardSwishBackward 
- hash 
- hwigo 
- hwio 
I
- id 
- idhwo 
- ihwo 
- impl_info_str 
- in_order 
- Inference 
- Inference and Training Aspects 
- inference_int8_matmul.cpp 
- Inner Product 
- Inner Product Primitive Example 
- inner_blks 
- inner_idxs 
- inner_nblks_s32 
- inner_product 
- inner_product.cpp 
- inner_product_backward_data 
- inner_product_backward_weights 
- inner_product_forward 
- input_id 
- Inspecting JIT Code 
- Int8 Inference 
- Interpolate 
- InterpolateBackward 
- invalid_arguments 
- invalid_data_type 
- invalid_graph 
- invalid_graph_op 
- invalid_shape 
- io 
- iodhw 
- iohw 
- is_equal 
- is_finalized 
- is_supported 
- is_zero 
- isa_default 
- iwo 
K
- k_f32 
- keep_dims 
- keep_stats 
- kernel 
- kind 
L
- last_impl_reached 
- Layer Normalization 
- Layer Normalization Primitive Example 
- layer_normalization 
- layer_normalization.cpp 
- layer_normalization_backward 
- layer_normalization_forward 
- LayerNorm 
- LayerNormBackward 
- layout_id 
- layout_type 
- lbr_augru 
- lbr_augru_backward 
- lbr_augru_forward 
- lbr_gru 
- lbr_gru_backward 
- lbr_gru_forward 
- ldgo 
- ldgoi 
- ldigo 
- ldio 
- ldnc 
- ldoi 
- LeakyReLU 
- Legal Information 
- len 
- library 
- Linking to the Library 
- Local Response Normalization (LRN) 
- Local Response Normalization Primitive Example 
- local_size_s64 
- Log 
- Logical Tensor 
- logical_tensor 
- LogSoftmax 
- LogSoftmaxBackward 
- Low Precision 
- LRN 
- lrn 
- lrn.cpp 
- lrn_across_channels 
- lrn_backward 
- lrn_forward 
- lrn_within_channel 
- LSTM RNN Primitive Example 
- lstm.cpp 
- lstm_backward 
- lstm_forward 
M
- major 
- make_allocator 
- make_engine 
- make_engine_with_allocator 
- make_memory 
- make_stream 
- map_data 
- MatMul 
- matmul 
- Matmul Primitive Example 
- MatMul Tutorial: Comparison with SGEMM 
- MatMul Tutorial: INT8 Inference 
- MatMul Tutorial: Quantization 
- matmul.cpp 
- Matrix Multiplication 
- max 
- Maximum 
- MaxPool 
- MaxPoolBackward 
- mean_desc 
- Memory 
- memory 
- Memory Format Propagation 
- memory_consumption_s64 
- memory_format_propagation.cpp 
- memory_kind 
- min 
- Minimum 
- minor 
- Mish 
- MishBackward 
- mode 
- momentum 
- Multiply 
N
- namespace 
- Naming Conventions 
- nc 
- ncdhw 
- nchw 
- ncw 
- ndhwc 
- ndims 
- ndims_s32 
- next_impl 
- nhwc 
- no_hints 
- none 
- normalization_flags 
- not_required 
- nt 
- ntc 
- Nuances of int8 Computations 
- num_of_inputs_s32 
- num_of_outputs_s32 
- nwc 
O
- odhwi 
- ohwi 
- oi 
- oidhw 
- oihw 
- oiw 
- oneapi 
- oneDNN API 
- Op 
- op 
- opaque 
- OpenCL Interoperability 
- OpenCL interoperability API 
- operator bool 
- operator T 
- operator!= 
- operator= 
- operator== 
- order 
- out_of_memory 
- out_of_order 
- output_id 
- output_padding 
- owi 
P
- p_f32 
- padded_dims 
- padded_offsets 
- padding_l 
- padding_r 
- pads_begin 
- pads_end 
- page 
- parallel_for 
- Partition 
- partition 
- patch 
- per_channel_broadcast 
- Performance Profiling Example 
- performance_profiling.cpp 
- permute_axes 
- Persistent Cache 
- policy 
- Pooling 
- pooling 
- Pooling Primitive Example 
- pooling.cpp 
- pooling_avg_exclude_padding 
- pooling_avg_include_padding 
- pooling_backward 
- pooling_forward 
- pooling_max 
- post_ops 
- Pow 
- prefer_ymm 
- PReLU 
- prelu 
- prelu.cpp 
- prelu_backward 
- prelu_forward 
- PReLUBackward 
- primitive 
- Primitive Attributes 
- Primitive Attributes: floating-point math mode 
- Primitive Attributes: Post-ops 
- Primitive Attributes: Quantization 
- Primitive Attributes: Scratchpad 
- Primitive Cache 
- Primitive Example 
- primitive_attr 
- primitive_desc - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86], [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99], [100], [101], [102], [103], [104], [105], [106], [107], [108], [109], [110], [111], [112], [113], [114], [115], [116], [117], [118], [119], [120], [121], [122], [123], [124], [125], [126], [127], [128], [129], [130], [131], [132], [133], [134], [135], [136], [137], [138], [139], [140], [141], [142], [143], [144], [145], [146], [147], [148], [149], [150], [151], [152], [153], [154], [155], [156], [157], [158], [159], [160], [161], [162], [163], [164], [165], [166], [167], [168], [169], [170], [171], [172], [173], [174], [175] 
 
- primitive_desc_base 
- primitive_kind 
- Primitives 
- Profiling oneDNN Performance 
- Profiling with VTune(TM) Profiler 
- prop_kind 
- property 
- property_type 
Q
R
- Reciprocal 
- ReduceL1 
- ReduceL2 
- ReduceMax 
- ReduceMean 
- ReduceMin 
- ReduceProd 
- ReduceSum 
- Reduction 
- reduction 
- Reduction Primitive Example 
- reduction.cpp 
- reduction_max 
- reduction_mean 
- reduction_min 
- reduction_mul 
- reduction_norm_lp_max 
- reduction_norm_lp_power_p_max 
- reduction_norm_lp_power_p_sum 
- reduction_norm_lp_sum 
- reduction_sum 
- ReLU 
- ReLUBackward 
- Reorder 
- reorder 
- Reorder between CPU and GPU engines 
- Reorder Primitive Example 
- reorder.cpp 
- reorder_dst_engine 
- reorder_src_engine 
- Resampling 
- resampling 
- Resampling Primitive Example 
- resampling.cpp 
- resampling_backward 
- resampling_forward 
- resampling_linear 
- resampling_nearest 
- reset 
- reshape 
- RNN 
- rnn 
- RNN f32 inference example 
- RNN f32 training example 
- RNN int8 inference example 
- rnn_direction 
- rnn_flags 
- rnn_primitive_desc_base 
- rnn_training_f32.cpp 
- Round 
- rounding_type 
- Runtime interoperability API 
- runtime_error 
S
- s32 
- s8 
- scales 
- scratchpad_desc 
- scratchpad_engine 
- scratchpad_md 
- scratchpad_mode 
- Select 
- Service 
- set_any_layout 
- set_attr 
- set_buffer 
- set_compiled_partition_cache_capacity 
- set_constant_tensor_cache 
- set_cpu_isa_hints 
- set_data_handle 
- set_default_fpmath_mode 
- set_fpmath_mode 
- set_jit_dump 
- set_jit_profiling_flags 
- set_jit_profiling_jitdumpdir 
- set_max_cpu_isa 
- set_mem_object 
- set_post_ops 
- set_primitive_cache_capacity 
- set_rnn_data_qparams 
- set_rnn_weights_projection_qparams 
- set_rnn_weights_qparams 
- set_scales_mask 
- set_scratchpad_mode 
- set_verbose 
- set_zero_points_mask 
- sgemm 
- shape 
- Shuffle 
- shuffle 
- Shuffle Primitive Example 
- shuffle.cpp 
- shuffle_backward 
- shuffle_forward 
- Sigmoid 
- SigmoidBackward 
- sizes 
- SoftMax 
- Softmax 
- softmax 
- Softmax Primitive Example 
- softmax.cpp 
- softmax_accurate 
- softmax_backward 
- softmax_forward 
- softmax_log 
- SoftMaxBackward 
- SoftPlus 
- SoftPlusBackward 
- special_zero 
- Sqrt 
- SqrtBackward 
- Square 
- SquaredDifference 
- src0_desc 
- src1_desc 
- src_desc - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28] 
 
- src_iter_c_desc 
- src_iter_desc 
- src_layer_desc 
- src_md 
- src_shape 
- sse41 
- StaticReshape 
- StaticTranspose 
- Status 
- status 
- std 
- Stream 
- stream 
- strict 
- strided 
- strides 
- struct 
- submemory_desc 
- submemory_offset_s64 
- Subtract 
- success 
- Sum 
- sum 
- Sum Primitive Example 
- sum.cpp 
- Supported Fusion Patterns 
- sycl 
- SYCL interoperability API 
- sycl_deletor 
- sycl_getting_started.cpp 
- sycl_interop_buffer.cpp 
T
- Tanh 
- TanhBackward 
- Tensor 
- tensor 
- tf32 
- Threadpool interoperability API 
- time_estimate_f64 
- tn 
- tnc 
- Todo List 
- Training 
- Transitioning from Intel MKL-DNN to oneDNN 
- transpose_a 
- transpose_b 
- TypeCast 
- typedef 
U
- u8 
- undef 
- Understanding Memory Formats 
- unidirectional_left2right 
- unidirectional_right2left 
- unimplemented 
- unmap_data 
- use_affine 
- use_dst 
- use_global_stats 
- use_scale 
- use_shift 
- user 
- Using oneDNN with Threadpool-Based Threading 
- usm 
- Utilities 
V
- validate_dims 
- vanilla_augru 
- vanilla_gru 
- vanilla_lstm 
- vanilla_rnn 
- vanilla_rnn_backward 
- vanilla_rnn_forward 
- variable 
- variance_desc 
- Verbose Mode 
- version 
- version_t 
W
- wait 
- weights_desc 
- weights_format 
- weights_iter_desc 
- weights_layer_desc 
- weights_md 
- weights_peephole_desc 
- weights_projection_desc 
- weights_shape 
- what 
- wigo 
- Wildcard 
- wio 
- workspace_desc - function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22] 
 
- workspace_md 
- wrap_c_api 
X
Z
- zps