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- torch 2.0.0 allows us to to pass multiple args and kwargs to hooks - handle multiple inputs and outputs in core.Hook and core.BasicHook, by passing all required grad_outputs and inputs to the backward implementation - BasicHook still only processes a single input - Hook checks the function signature to allow backwards-compatibility TODO: - add tests - add documentation - This stands in conflict with #168, but promises a better implementation by handling inputs and outpus as common to a single function, rather than individually as proposed in #168 - This does not deal with parameter gradients, which are better left to a seperate PR - This will implement #176
- based on #196, allow BasicHook to process multiple inputs/outputs at once - not sure how useful this is TODO: - attribution scores are currently wrong in BasicHook, likely an issue with the gradient inside BasicHook? Might be some cross-terms interacting that should not interact - finish draft and test implementation - add tests - add documentation
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TODO:
with the gradient inside BasicHook? Might be some cross-terms
interacting that should not interact