Mauser K98 Berlin L Becker Torch fx is a tool within PyTorch that allows you to capture and manipulate the symbolic representation of a PyTorch module Instead of directly executing the code FX
Understanding FX and Graph Representation First a quick recap on FX FX is a tracing based method in PyTorch that allows you to capture the structure of your PyTorch It serves as the primary output of FX transformations and can be used like any other nn Module fx GraphModule allows for the execution of the transformed model as it generates a valid
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Since the ATen IR sits at the FX Graph GraphModule level any transformations written for FX Graphs can be easily applied onto the ATen IR If you re familiar with writing FX graph Torch fx GraphModule takes this torch fx Graph and wraps it It s essentially a container that holds the graph representation and the associated parameters of your model
The make fx command generates an fx graph stored in fx graph sample Using the original model and the fx graph the idea is to create a GraphModule For each Graph IR we can create valid Python code matching the Graph s semantics This functionality is wrapped up in class GraphModule which is a class torch nn Module
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FX also provides another level of automation on top of direct graph manipulation The func replace pattern API is essentially a find replace tool for editing Torch fx Graph Think of a Graph as a representation of your PyTorch model s forward pass Instead of executing the code directly torch fx symbolically traces it creating a
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https://runebook.dev › en › articles › pytorch › fx › torch.fx.GraphModu…
Torch fx is a tool within PyTorch that allows you to capture and manipulate the symbolic representation of a PyTorch module Instead of directly executing the code FX
https://runebook.dev › en › articles › pytorch › fx › torch.fx.GraphModu…
Understanding FX and Graph Representation First a quick recap on FX FX is a tracing based method in PyTorch that allows you to capture the structure of your PyTorch
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