pytorch  1.8.2
About: PyTorch provides Tensor computation (like NumPy) with strong GPU acceleration and Deep Neural Networks (in Python) built on a tape-based autograd system. LTS (Long Term Support) release.
  Fossies Dox: pytorch-1.8.2.tar.gz  ("unofficial" and yet experimental doxygen-generated source code documentation)  

caffe2.python.nomnigraph Namespace Reference


class  NNModule


def render (s)


 NeuralNetOperator = C.NeuralNetOperator
 Operator = C.NeuralNetOperator
 NeuralNetData = C.NeuralNetData
 Data = C.NeuralNetData
 NNSubgraph = C.NNSubgraph
 NNMatchGraph = C.NNMatchGraph
 Graph = C.Graph
 Annotation = C.Annotation

Function Documentation

◆ render()

def caffe2.python.nomnigraph.render (   s)

Variable Documentation

◆ Annotation

caffe2.python.nomnigraph.Annotation = C.Annotation

Definition at line 140 of file

◆ Data

caffe2.python.nomnigraph.Data = C.NeuralNetData

Definition at line 136 of file

Referenced by nom::repr::Data.classof().

◆ Graph

caffe2.python.nomnigraph.Graph = C.Graph

Definition at line 139 of file

◆ NeuralNetData

caffe2.python.nomnigraph.NeuralNetData = C.NeuralNetData

Definition at line 135 of file

◆ NeuralNetOperator

caffe2.python.nomnigraph.NeuralNetOperator = C.NeuralNetOperator

Definition at line 133 of file

◆ NNMatchGraph

caffe2.python.nomnigraph.NNMatchGraph = C.NNMatchGraph

Definition at line 138 of file

◆ NNSubgraph

caffe2.python.nomnigraph.NNSubgraph = C.NNSubgraph

Definition at line 137 of file

◆ Operator

caffe2.python.nomnigraph.Operator = C.NeuralNetOperator

Definition at line 134 of file

Referenced by torch::jit.OperatorGenerator().