enum dnnl::prop

Intel® oneAPI Deep Neural Network Developer Guide and Reference

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ID 768875

Date 2/28/2024

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Document Table of Contents

Document Table of Contents x

oneAPI Deep Neural Network Library Developer Guide and Reference

oneAPI Deep Neural Network Library Developer Guide and Reference x

Building and Linking Programming Model Supported Primitives Graph Extension Examples Performance Profiling and Inspection Advanced Topics oneDNN API genindex

Building and Linking x

Build from Source Build Options Linking to the Library

Programming Model x

Basic Concepts Getting started Memory Format Propagation Inference and Training Aspects Primitive Attributes Data Types Reorder between CPU and GPU engines API Interoperability with DPC++ and OpenCL

Inference and Training Aspects x

Inference Int8 Inference Bfloat16 Training

Primitive Attributes x

Primitive Attributes: floating-point math mode Primitive Attributes: Quantization Primitive Attributes: Post-ops Primitive Attributes: Scratchpad

Interoperability with DPC++ and OpenCL x

OpenCL Interoperability DPC++ Interoperability

Supported Primitives x

Convolution Inner Product Matrix Multiplication RNN Batch Normalization Binary Concat Eltwise Group Normalization Layer Normalization Local Response Normalization (LRN) Pooling PReLU Resampling Shuffle Softmax Sum Reorder Reduction

Graph Extension x

Programming Model Supported Operations Supported Fusion Patterns Graph Dump Graph Compiler

Programming Model x

Basic Concepts Low Precision

Supported Operations x

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

Performance Profiling and Inspection x

Verbose Mode Configuring oneDNN for Benchmarking Benchmarking Performance Profiling oneDNN Performance Inspecting JIT Code Performance Profiling Example CPU Dispatcher Control CPU ISA Hints

Advanced Topics x

Transitioning from Intel MKL-DNN to oneDNN Understanding Memory Formats Nuances of int8 Computations Primitive Cache Persistent Cache Using oneDNN with Threadpool-Based Threading Experimental features

oneDNN API x

Primitives Memory Primitive Cache BLAS functions Common API Graph API Runtime interoperability API namespace oneapi

Primitives x

Common Attributes Reorder Concat Sum Binary Convolution Deconvolution Shuffle Eltwise Softmax Pooling PReLU LRN Batch Normalization Group Normalization Layer Normalization Inner Product RNN Matrix Multiplication Resampling Reduction

Common x

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

struct dnnl::primitive x

enum dnnl::primitive::kind

Attributes x

enum dnnl::algorithm enum dnnl_scratchpad_mode_t enum dnnl::prop_kind Overview Detailed Documentation enum dnnl::scratchpad_mode struct dnnl_post_ops struct dnnl_primitive_attr struct dnnl::post_ops struct dnnl::primitive_attr

Reorder x

struct dnnl::reorder

struct dnnl::reorder x

struct dnnl::reorder::primitive_desc

Concat x

struct dnnl::concat

struct dnnl::concat x

struct dnnl::concat::primitive_desc

Sum x

struct dnnl::sum

struct dnnl::sum x

struct dnnl::sum::primitive_desc

Binary x

struct dnnl::binary

struct dnnl::binary x

struct dnnl::binary::primitive_desc

Convolution x

struct dnnl::convolution_backward_data struct dnnl::convolution_backward_weights struct dnnl::convolution_forward

struct dnnl::convolution_backward_data x

struct dnnl::convolution_backward_data::primitive_desc

struct dnnl::convolution_backward_weights x

struct dnnl::convolution_backward_weights::primitive_desc

struct dnnl::convolution_forward x

struct dnnl::convolution_forward::primitive_desc

Deconvolution x

struct dnnl::deconvolution_backward_data struct dnnl::deconvolution_backward_weights struct dnnl::deconvolution_forward

struct dnnl::deconvolution_backward_data x

struct dnnl::deconvolution_backward_data::primitive_desc

struct dnnl::deconvolution_backward_weights x

struct dnnl::deconvolution_backward_weights::primitive_desc

struct dnnl::deconvolution_forward x

struct dnnl::deconvolution_forward::primitive_desc

Shuffle x

struct dnnl::shuffle_backward struct dnnl::shuffle_forward

struct dnnl::shuffle_backward x

struct dnnl::shuffle_backward::primitive_desc

struct dnnl::shuffle_forward x

struct dnnl::shuffle_forward::primitive_desc

Eltwise x

struct dnnl::eltwise_backward struct dnnl::eltwise_forward

struct dnnl::eltwise_backward x

struct dnnl::eltwise_backward::primitive_desc

struct dnnl::eltwise_forward x

struct dnnl::eltwise_forward::primitive_desc

Softmax x

struct dnnl::softmax_backward struct dnnl::softmax_forward

struct dnnl::softmax_backward x

struct dnnl::softmax_backward::primitive_desc

struct dnnl::softmax_forward x

struct dnnl::softmax_forward::primitive_desc

Pooling x

struct dnnl::pooling_backward struct dnnl::pooling_forward

struct dnnl::pooling_backward x

struct dnnl::pooling_backward::primitive_desc

struct dnnl::pooling_forward x

struct dnnl::pooling_forward::primitive_desc

PReLU x

struct dnnl::prelu_backward struct dnnl::prelu_forward

struct dnnl::prelu_backward x

struct dnnl::prelu_backward::primitive_desc

struct dnnl::prelu_forward x

struct dnnl::prelu_forward::primitive_desc

LRN x

struct dnnl::lrn_backward struct dnnl::lrn_forward

struct dnnl::lrn_backward x

struct dnnl::lrn_backward::primitive_desc

struct dnnl::lrn_forward x

struct dnnl::lrn_forward::primitive_desc

Batch Normalization x

struct dnnl::batch_normalization_backward struct dnnl::batch_normalization_forward

struct dnnl::batch_normalization_backward x

struct dnnl::batch_normalization_backward::primitive_desc

struct dnnl::batch_normalization_forward x

struct dnnl::batch_normalization_forward::primitive_desc

Group Normalization x

struct dnnl::group_normalization_backward struct dnnl::group_normalization_forward

struct dnnl::group_normalization_backward x

struct dnnl::group_normalization_backward::primitive_desc

struct dnnl::group_normalization_forward x

struct dnnl::group_normalization_forward::primitive_desc

Layer Normalization x

struct dnnl::layer_normalization_backward struct dnnl::layer_normalization_forward

struct dnnl::layer_normalization_backward x

struct dnnl::layer_normalization_backward::primitive_desc

struct dnnl::layer_normalization_forward x

struct dnnl::layer_normalization_forward::primitive_desc

Inner Product x

struct dnnl::inner_product_backward_data struct dnnl::inner_product_backward_weights struct dnnl::inner_product_forward

struct dnnl::inner_product_backward_data x

struct dnnl::inner_product_backward_data::primitive_desc

struct dnnl::inner_product_backward_weights x

struct dnnl::inner_product_backward_weights::primitive_desc

struct dnnl::inner_product_forward x

struct dnnl::inner_product_forward::primitive_desc

RNN x

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

struct dnnl::augru_backward x

struct dnnl::augru_backward::primitive_desc

struct dnnl::augru_forward x

struct dnnl::augru_forward::primitive_desc

struct dnnl::gru_backward x

struct dnnl::gru_backward::primitive_desc

struct dnnl::gru_forward x

struct dnnl::gru_forward::primitive_desc

struct dnnl::lbr_augru_backward x

struct dnnl::lbr_augru_backward::primitive_desc

struct dnnl::lbr_augru_forward x

struct dnnl::lbr_augru_forward::primitive_desc

struct dnnl::lbr_gru_backward x

struct dnnl::lbr_gru_backward::primitive_desc

struct dnnl::lbr_gru_forward x

struct dnnl::lbr_gru_forward::primitive_desc

struct dnnl::lstm_backward x

struct dnnl::lstm_backward::primitive_desc

struct dnnl::lstm_forward x

struct dnnl::lstm_forward::primitive_desc

struct dnnl::vanilla_rnn_backward x

struct dnnl::vanilla_rnn_backward::primitive_desc

struct dnnl::vanilla_rnn_forward x

struct dnnl::vanilla_rnn_forward::primitive_desc

Matrix Multiplication x

struct dnnl::matmul

struct dnnl::matmul x

struct dnnl::matmul::primitive_desc

Resampling x

struct dnnl::resampling_backward struct dnnl::resampling_forward

struct dnnl::resampling_backward x

struct dnnl::resampling_backward::primitive_desc

struct dnnl::resampling_forward x

struct dnnl::resampling_forward::primitive_desc

Reduction x

struct dnnl::reduction

struct dnnl::reduction x

struct dnnl::reduction::primitive_desc

Memory x

enum dnnl_format_kind_t enum dnnl_format_tag_t struct dnnl_memory struct dnnl_memory_desc struct dnnl::memory

struct dnnl::memory x

enum dnnl::memory::data_type enum dnnl::memory::format_kind enum dnnl::memory::format_tag struct dnnl::memory::desc

Common API x

Engine Stream Floating-point Math Mode Service Utilities Data types

Engine x

enum dnnl_engine_kind_t struct dnnl_engine struct dnnl::engine

struct dnnl::engine x

enum dnnl::engine::kind

Stream x

enum dnnl_stream_flags_t struct dnnl_stream struct dnnl::stream

struct dnnl::stream x

enum dnnl::stream::flags

Floating-point Math Mode x

enum dnnl_fpmath_mode_t enum dnnl::fpmath_mode

Service x

enum dnnl::cpu_isa enum dnnl::cpu_isa_hints enum dnnl_cpu_isa_hints_t enum dnnl_cpu_isa_t enum dnnl::status struct dnnl_version_t

Utilities x

enum dnnl_status_t struct dnnl::error template struct dnnl::handle template struct dnnl::handle_traits

Data types x

enum dnnl_data_type_t

Graph API x

Allocator Engine Logical Tensor Tensor Op Partition Compiled Partition Graph Compiled Partition Cache Constant Tensor Cache Runtime interoperability API namespace dnnl

Allocator x

class dnnl::graph::allocator

Logical Tensor x

enum dnnl_graph_layout_type_t enum dnnl_graph_tensor_property_t struct dnnl_graph_logical_tensor_t class dnnl::graph::logical_tensor

class dnnl::graph::logical_tensor x

enum dnnl::graph::logical_tensor::data_type enum dnnl::graph::logical_tensor::layout_type enum dnnl::graph::logical_tensor::property_type

Tensor x

class dnnl::graph::tensor

Op x

enum dnnl_graph_op_attr_t enum dnnl_graph_op_kind_t class dnnl::graph::op

class dnnl::graph::op x

enum dnnl::graph::op::attr enum dnnl::graph::op::kind

Partition x

enum dnnl_graph_partition_policy_t class dnnl::graph::partition

class dnnl::graph::partition x

enum dnnl::graph::partition::policy

Compiled Partition x

struct dnnl_graph_inplace_pair_t class dnnl::graph::compiled_partition

Graph x

class dnnl::graph::graph

Runtime interoperability API x

SYCL interoperability API

SYCL interoperability API x

namespace dnnl::graph::sycl_interop

namespace dnnl x

namespace dnnl::graph

Runtime interoperability API x

OpenCL interoperability API SYCL interoperability API Threadpool interoperability API

OpenCL interoperability API x

namespace dnnl::ocl_interop enum dnnl_ocl_interop_memory_kind_t

namespace dnnl::ocl_interop x

enum dnnl::ocl_interop::memory_kind

SYCL interoperability API x

namespace dnnl::sycl_interop enum dnnl_sycl_interop_memory_kind_t

namespace dnnl::sycl_interop x

enum dnnl::sycl_interop::memory_kind

Threadpool interoperability API x

namespace dnnl::threadpool_interop

namespace dnnl::threadpool_interop x

struct dnnl::threadpool_interop::threadpool_iface

oneAPI Deep Neural Network Library Developer Guide and Reference

Building and Linking

Build from Source

Build Options

Linking to the Library

Programming Model

Basic Concepts

Getting started

Memory Format Propagation

Inference and Training Aspects

Inference

Int8 Inference

Bfloat16 Training

Primitive Attributes

Primitive Attributes: floating-point math mode

Primitive Attributes: Quantization

Primitive Attributes: Post-ops

Primitive Attributes: Scratchpad

Data Types

Reorder between CPU and GPU engines

Interoperability with DPC++ and OpenCL

OpenCL Interoperability

DPC++ Interoperability

Supported Primitives

Convolution

Inner Product

Matrix Multiplication

Batch Normalization

Binary

Concat

Eltwise

Group Normalization

Layer Normalization

Local Response Normalization (LRN)

Pooling

PReLU

Resampling

Shuffle

Softmax

Reorder

Reduction

Graph Extension

Programming Model

Basic Concepts

Low Precision

Supported Operations

AbsBackward

AvgPool

AvgPoolBackward

BatchNormForwardTraining

BatchNormInference

BatchNormTrainingBackward

BiasAdd

BiasAddBackward

Clamp

ClampBackward

Concat

Convolution

ConvolutionBackwardData

ConvolutionBackwardWeights

ConvTranspose

ConvTransposeBackwardData

ConvTransposeBackwardWeights

Dequantize

Divide

DynamicDequantize

DynamicQuantize

EluBackward

GELU

GELUBackward

HardSigmoid

HardSigmoidBackward

HardSwish

HardSwishBackward

Interpolate

InterpolateBackward

LayerNorm

LayerNormBackward

LeakyReLU

LogSoftmax

LogSoftmaxBackward

MatMul

Maximum

MaxPool

MaxPoolBackward

Minimum

Mish

MishBackward

Multiply

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

Supported Fusion Patterns

Graph Dump

Graph Compiler

Examples

Performance Profiling and Inspection

Verbose Mode

Configuring oneDNN for Benchmarking

Benchmarking Performance

Profiling oneDNN Performance

Inspecting JIT Code

Performance Profiling Example

CPU Dispatcher Control

CPU ISA Hints

Advanced Topics

Transitioning from Intel MKL-DNN to oneDNN

Understanding Memory Formats

Nuances of int8 Computations

Primitive Cache

Persistent Cache

Using oneDNN with Threadpool-Based Threading

Experimental features

oneDNN API

Primitives

Common

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

enum dnnl::primitive::kind

struct dnnl::primitive_desc

struct dnnl::primitive_desc_base

Attributes

enum dnnl::algorithm

enum dnnl_scratchpad_mode_t

enum dnnl::prop_kind

Overview
Detailed Documentation

enum dnnl::scratchpad_mode

struct dnnl_post_ops

struct dnnl_primitive_attr

struct dnnl::post_ops

struct dnnl::primitive_attr

Reorder

struct dnnl::reorder

struct dnnl::reorder::primitive_desc

Concat

struct dnnl::concat

struct dnnl::concat::primitive_desc

Sum

struct dnnl::sum

struct dnnl::sum::primitive_desc

Binary

struct dnnl::binary

struct dnnl::binary::primitive_desc

Convolution

struct dnnl::convolution_backward_data

struct dnnl::convolution_backward_data::primitive_desc

struct dnnl::convolution_backward_weights

struct dnnl::convolution_backward_weights::primitive_desc

struct dnnl::convolution_forward

struct dnnl::convolution_forward::primitive_desc

Deconvolution

struct dnnl::deconvolution_backward_data

struct dnnl::deconvolution_backward_data::primitive_desc

struct dnnl::deconvolution_backward_weights

struct dnnl::deconvolution_backward_weights::primitive_desc

struct dnnl::deconvolution_forward

struct dnnl::deconvolution_forward::primitive_desc

Shuffle

struct dnnl::shuffle_backward

struct dnnl::shuffle_backward::primitive_desc

struct dnnl::shuffle_forward

struct dnnl::shuffle_forward::primitive_desc

Eltwise

struct dnnl::eltwise_backward

struct dnnl::eltwise_backward::primitive_desc

struct dnnl::eltwise_forward

struct dnnl::eltwise_forward::primitive_desc

Softmax

struct dnnl::softmax_backward

struct dnnl::softmax_backward::primitive_desc

struct dnnl::softmax_forward

struct dnnl::softmax_forward::primitive_desc

Pooling

struct dnnl::pooling_backward

struct dnnl::pooling_backward::primitive_desc

struct dnnl::pooling_forward

struct dnnl::pooling_forward::primitive_desc

PReLU

struct dnnl::prelu_backward

struct dnnl::prelu_backward::primitive_desc

struct dnnl::prelu_forward

struct dnnl::prelu_forward::primitive_desc

LRN

struct dnnl::lrn_backward

struct dnnl::lrn_backward::primitive_desc

struct dnnl::lrn_forward

struct dnnl::lrn_forward::primitive_desc

Batch Normalization

struct dnnl::batch_normalization_backward

struct dnnl::batch_normalization_backward::primitive_desc

struct dnnl::batch_normalization_forward

struct dnnl::batch_normalization_forward::primitive_desc

Group Normalization

struct dnnl::group_normalization_backward

struct dnnl::group_normalization_backward::primitive_desc

struct dnnl::group_normalization_forward

struct dnnl::group_normalization_forward::primitive_desc

Layer Normalization

struct dnnl::layer_normalization_backward

struct dnnl::layer_normalization_backward::primitive_desc

struct dnnl::layer_normalization_forward

struct dnnl::layer_normalization_forward::primitive_desc

Inner Product

struct dnnl::inner_product_backward_data

struct dnnl::inner_product_backward_data::primitive_desc

struct dnnl::inner_product_backward_weights

struct dnnl::inner_product_backward_weights::primitive_desc

struct dnnl::inner_product_forward

struct dnnl::inner_product_forward::primitive_desc

RNN

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_backward::primitive_desc

struct dnnl::augru_forward

struct dnnl::augru_forward::primitive_desc

struct dnnl::gru_backward

struct dnnl::gru_backward::primitive_desc

struct dnnl::gru_forward

struct dnnl::gru_forward::primitive_desc

struct dnnl::lbr_augru_backward

struct dnnl::lbr_augru_backward::primitive_desc

struct dnnl::lbr_augru_forward

struct dnnl::lbr_augru_forward::primitive_desc

struct dnnl::lbr_gru_backward

struct dnnl::lbr_gru_backward::primitive_desc

struct dnnl::lbr_gru_forward

struct dnnl::lbr_gru_forward::primitive_desc

struct dnnl::lstm_backward

struct dnnl::lstm_backward::primitive_desc

struct dnnl::lstm_forward

struct dnnl::lstm_forward::primitive_desc

struct dnnl::rnn_primitive_desc_base

struct dnnl::vanilla_rnn_backward

struct dnnl::vanilla_rnn_backward::primitive_desc

struct dnnl::vanilla_rnn_forward

struct dnnl::vanilla_rnn_forward::primitive_desc

Matrix Multiplication

struct dnnl::matmul

struct dnnl::matmul::primitive_desc

Resampling

struct dnnl::resampling_backward

struct dnnl::resampling_backward::primitive_desc

struct dnnl::resampling_forward

struct dnnl::resampling_forward::primitive_desc

Reduction

struct dnnl::reduction

struct dnnl::reduction::primitive_desc

Memory

enum dnnl_format_kind_t

enum dnnl_format_tag_t

struct dnnl_memory

struct dnnl_memory_desc

struct dnnl::memory

enum dnnl::memory::data_type

enum dnnl::memory::format_kind

enum dnnl::memory::format_tag

struct dnnl::memory::desc

Primitive Cache

BLAS functions

Common API

Engine

enum dnnl_engine_kind_t

struct dnnl_engine

struct dnnl::engine

enum dnnl::engine::kind

Stream

enum dnnl_stream_flags_t

struct dnnl_stream

struct dnnl::stream

enum dnnl::stream::flags

Floating-point Math Mode

enum dnnl_fpmath_mode_t

enum dnnl::fpmath_mode

Service

enum dnnl::cpu_isa

enum dnnl::cpu_isa_hints

enum dnnl_cpu_isa_hints_t

enum dnnl_cpu_isa_t

enum dnnl::status

struct dnnl_version_t

Utilities

enum dnnl_status_t

struct dnnl::error

template struct dnnl::handle

template struct dnnl::handle_traits

Data types

enum dnnl_data_type_t

Graph API

Allocator

class dnnl::graph::allocator

Engine

Logical Tensor

enum dnnl_graph_layout_type_t

enum dnnl_graph_tensor_property_t

struct dnnl_graph_logical_tensor_t

class dnnl::graph::logical_tensor

enum dnnl::graph::logical_tensor::data_type

enum dnnl::graph::logical_tensor::layout_type

enum dnnl::graph::logical_tensor::property_type

Tensor

class dnnl::graph::tensor

enum dnnl_graph_op_attr_t

enum dnnl_graph_op_kind_t

class dnnl::graph::op

enum dnnl::graph::op::attr

enum dnnl::graph::op::kind

Partition

enum dnnl_graph_partition_policy_t

class dnnl::graph::partition

enum dnnl::graph::partition::policy

Compiled Partition

struct dnnl_graph_inplace_pair_t

class dnnl::graph::compiled_partition

Graph

class dnnl::graph::graph

Compiled Partition Cache

Constant Tensor Cache

Runtime interoperability API

SYCL interoperability API

namespace dnnl::graph::sycl_interop

namespace dnnl

namespace dnnl::graph

Runtime interoperability API

OpenCL interoperability API

namespace dnnl::ocl_interop

enum dnnl::ocl_interop::memory_kind

enum dnnl_ocl_interop_memory_kind_t

SYCL interoperability API

namespace dnnl::sycl_interop

enum dnnl::sycl_interop::memory_kind

enum dnnl_sycl_interop_memory_kind_t

Threadpool interoperability API

namespace dnnl::threadpool_interop

struct dnnl::threadpool_interop::threadpool_iface

namespace oneapi

genindex

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enum dnnl::prop_kind

Overview

Propagation kind. More…


#include <dnnl.hpp>

enum prop_kind
{
    undef             = dnnl_prop_kind_undef,
    forward_training  = dnnl_forward_training,
    forward_inference = dnnl_forward_inference,
    forward           = dnnl_forward,
    backward          = dnnl_backward,
    backward_data     = dnnl_backward_data,
    backward_weights  = dnnl_backward_weights,
    backward_bias     = dnnl_backward_bias,
};

Detailed Documentation

Propagation kind.

Enum Values


undef

Undefined propagation kind.


forward_training

Forward data propagation (training mode).

In this mode, primitives perform computations necessary for subsequent backward propagation.


forward_inference

Forward data propagation (inference mode).

In this mode, primitives perform only computations that are necessary for inference and omit computations that are necessary only for backward propagation.


forward

Forward data propagation, alias for dnnl::prop_kind::forward_training.


backward

Backward propagation (with respect to all parameters).


backward_data

Backward data propagation.


backward_weights

Backward weights propagation.


backward_bias

Backward bias propagation.

Level Two Title

enum dnnl_scratchpad_mode_t enum dnnl::scratchpad_mode

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Intel® oneAPI Deep Neural Network Developer Guide and Reference

enum dnnl::prop_kind

Overview

Detailed Documentation