Visible to Intel only — GUID: GUID-A8DDCC07-6794-4566-BC5E-9E4F482E58FA
Visible to Intel only — GUID: GUID-A8DDCC07-6794-4566-BC5E-9E4F482E58FA
Index
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
buffer
enumvalue, [1]
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
page, [1]
CNN f32 training example
page, [1]
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 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_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]
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::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