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oneDNN v3.2.1 documentation

Building and Linking
Programming Model
Supported Primitives
Graph Extension
- Programming Model
  - Basic Concepts
  - Low Precision
- Supported Operations
  - 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
- Supported Fusion Patterns
- Graph Dump
- Graph Compiler
Examples
Performance Profiling and Inspection
Advanced Topics
oneDNN API

Graph Extension

Graph Extension#

Programming Model
Supported Operations
Supported Fusion Patterns
Graph Dump
Graph Compiler

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