Forward hook
WebSep 24, 2024 · In the forward hook, you have access to the list of inputs and extract the name of the operator from the grad_fn attribute callback. Using nn.Module.register_forward_pre_hook here would be more appropriate since we are only looking at the inputs, and do not need the output. Web先总结一下：手动在forward之前注册hook，hook在forward执行以后被自动执行。 1、hook背景 Hook被成为钩子机制，这不是pytorch的首创，在Windows的编程中已经被普 …
Forward hook
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WebApr 29, 2024 · A forward hook can be registered with the register_forward_hook (hook) method. (For the other types of hooks, we have register_backward_hook and … WebApr 29, 2024 · Apr 29, 2024 at 13:38 When I use Pytorch, there is a function called register_forward_hook that allows you to get the output of a specific layer. I was wondering if this intermediate layer output is the same as getting the gradient of the layer. – rkraaijveld May 1, 2024 at 12:29
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WebDec 16, 2024 · torch.matmul doesn't seem to have an nn.Module wrapper to allow the standard forward hook registration by name. In this case, the matrix multiply happens in the middle of a forward () function. I suppose the intermediate result can be returned by forward () in addition to the final result, such as return x, mm_res. WebApr 6, 2024 · The hook will be called every time before :func:`forward` is invoked. It should have the following signature:: hook (module, input) -> None or modified input The input contains only the positional arguments given to the module. Keyword arguments won't be passed to the hooks and only to the ``forward``. The hook can modify the input.
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