Intel® oneAPI Deep Neural Network Developer Guide and Reference
ID
768875
Date
2/28/2024
Public
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Visible to Intel only — GUID: GUID-EB479C48-6181-44A9-B535-BF2293B9F2D9
Abs
AbsBackward
Add
AvgPool
AvgPoolBackward
BatchNormForwardTraining
BatchNormInference
BatchNormTrainingBackward
BiasAdd
BiasAddBackward
Clamp
ClampBackward
Concat
Convolution
ConvolutionBackwardData
ConvolutionBackwardWeights
ConvTranspose
ConvTransposeBackwardData
ConvTransposeBackwardWeights
Dequantize
Divide
DynamicDequantize
DynamicQuantize
Elu
EluBackward
End
Exp
GELU
GELUBackward
HardSigmoid
HardSigmoidBackward
HardSwish
HardSwishBackward
Interpolate
InterpolateBackward
LayerNorm
LayerNormBackward
LeakyReLU
Log
LogSoftmax
LogSoftmaxBackward
MatMul
Maximum
MaxPool
MaxPoolBackward
Minimum
Mish
MishBackward
Multiply
Pow
PReLU
PReLUBackward
Quantize
Reciprocal
ReduceL1
ReduceL2
ReduceMax
ReduceMean
ReduceMin
ReduceProd
ReduceSum
ReLU
ReLUBackward
Reorder
Round
Select
Sigmoid
SigmoidBackward
SoftMax
SoftMaxBackward
SoftPlus
SoftPlusBackward
Sqrt
SqrtBackward
Square
SquaredDifference
StaticReshape
StaticTranspose
Subtract
Tanh
TanhBackward
TypeCast
Wildcard
enum dnnl_alg_kind_t
enum dnnl_normalization_flags_t
enum dnnl_primitive_kind_t
enum dnnl_prop_kind_t
enum dnnl_query_t
enum dnnl::normalization_flags
enum dnnl::query
struct dnnl_exec_arg_t
struct dnnl_primitive
struct dnnl_primitive_desc
struct dnnl::primitive
struct dnnl::primitive_desc
struct dnnl::primitive_desc_base
enum dnnl_rnn_direction_t
enum dnnl_rnn_flags_t
enum dnnl::rnn_direction
enum dnnl::rnn_flags
struct dnnl::augru_backward
struct dnnl::augru_forward
struct dnnl::gru_backward
struct dnnl::gru_forward
struct dnnl::lbr_augru_backward
struct dnnl::lbr_augru_forward
struct dnnl::lbr_gru_backward
struct dnnl::lbr_gru_forward
struct dnnl::lstm_backward
struct dnnl::lstm_forward
struct dnnl::rnn_primitive_desc_base
struct dnnl::vanilla_rnn_backward
struct dnnl::vanilla_rnn_forward
Visible to Intel only — GUID: GUID-EB479C48-6181-44A9-B535-BF2293B9F2D9
Orphans
- Global Namespace
- Getting started
- Memory Format Propagation
- Performance Profiling Example
- Reorder between CPU and GPU engines
- Reorder between CPU and GPU engines
- Getting started on both CPU and GPU with SYCL extensions API
- Getting started on GPU with OpenCL extensions API
- Bnorm u8 by binary post-ops example
- CNN f32 inference example
- CNN f32 inference example
- RNN f32 inference example
- CNN int8 inference example
- RNN int8 inference example
- CNN f32 training example
- CNN f32 training example
- RNN f32 training example
- CNN bf16 training example
- augru.cpp
- batch_normalization.cpp
- binary.cpp
- bnorm_u8_via_binary_postops.cpp
- cnn_inference_f32.c
- cnn_inference_f32.cpp
- cnn_inference_int8.cpp
- cnn_training_bf16.cpp
- cnn_training_f32.cpp
- concat.cpp
- convolution.cpp
- cpu_cnn_training_f32.c
- cpu_matmul_quantization.cpp
- cpu_rnn_inference_f32.cpp
- cpu_rnn_inference_int8.cpp
- cpu_sgemm_and_matmul.cpp
- cross_engine_reorder.c
- cross_engine_reorder.cpp
- eltwise.cpp
- getting_started.cpp
- gpu_opencl_interop.cpp
- inference_int8_matmul.cpp
- inner_product.cpp
- layer_normalization.cpp
- group_normalization.cpp
- lrn.cpp
- lstm.cpp
- matmul.cpp
- memory_format_propagation.cpp
- performance_profiling.cpp
- pooling.cpp
- prelu.cpp
- reduction.cpp
- reorder.cpp
- resampling.cpp
- rnn_training_f32.cpp
- shuffle.cpp
- softmax.cpp
- sum.cpp
- sycl_interop_buffer.cpp
- AUGRU RNN Primitive Example
- <Untitled>
- Batch Normalization Primitive Example
- <Untitled>
- Binary Primitive Example
- <Untitled>
- <Untitled>
- Concat Primitive Example
- <Untitled>
- Convolution Primitive Example
- <Untitled>
- MatMul Tutorial: Quantization
- <Untitled>
- MatMul Tutorial: Comparison with SGEMM
- <Untitled>
- Primitive Attributes: floating-point math mode
- Primitive Attributes: Post-ops
- Primitive Attributes: Quantization
- Primitive Attributes: Scratchpad
- Naming Conventions
- DPC++ Interoperability
- Examples
- Inference
- Int8 Inference
- OpenCL Interoperability
- Training
- Bfloat16 Training
- Profiling with VTune(TM) Profiler
- Element-Wise Primitive Example
- <Untitled>
- MatMul Tutorial: INT8 Inference
- <Untitled>
- Inner Product Primitive Example
- <Untitled>
- Layer Normalization Primitive Example
- <Untitled>
- Legal Information
- Trademark Information
- Group Normalization Primitive Example
- <Untitled>
- Local Response Normalization Primitive Example
- <Untitled>
- LSTM RNN Primitive Example
- <Untitled>
- Matmul Primitive Example
- <Untitled>
- Pooling Primitive Example
- <Untitled>
- Primitive Example
- <Untitled>
- Reduction Primitive Example
- <Untitled>
- Reorder Primitive Example
- <Untitled>
- Resampling Primitive Example
- <Untitled>
- Shuffle Primitive Example
- <Untitled>
- Softmax Primitive Example
- <Untitled>
- Sum Primitive Example
- <Untitled>
- Todo List