[TorchFX] Documetation update #2917
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| # Using capture_pre_autograd_graph to export torch.fx.GraphModule | ||
| # the same way it done for PyTorch 2 Export Post Training Quantization: | ||
| # https://pytorch.org/tutorials/prototype/pt2e_quant_ptq.html | ||
| fx_model = capture_pre_autograd_graph(model.eval(), args=torch.ones(input_shape)) |
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Torch 2.5.0 introduced export_for_training method which is used for quantization pipeline https://pytorch.org/executorch/stable/tutorials/export-to-executorch-tutorial.html I'm waiting that NNCF will support torch 2.5.0 in the upcoming release. I would suggest to merge this PR after clarification the status of the task of supporting torch 2.5.0 in NNCF.
@anzr299, @MaximProshin
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#2766