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# The mechanism is in VariableType,
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# IF any inputs have forward grad
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# AND there is no forward AD formula implemented
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- # AND the functions is actually differentiable
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+ # AND the functions are actually differentiable
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# run the decomposition
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# See run_jit_decomposition_with_args_for_jvp
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# We currently use python decompositions that we torchscript.
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# (and possibly produce an unintelligible error) vs erroring out earlier and
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# printing that the forward AD formula is not implemented.
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#
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- # The solution to this may be to have a explicitly white list control when
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+ # The solution to this may be to have an explicitly white list control when
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# to enable the decomposition.
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