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@goodsuga
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Hi! I think there's a typo:
if torch.is_floating_point(output) and threshold is None: raise ValueError( f"Output should be one of the integer types if ``threshold`` is not None, got {output.dtype}." )
in metrics/functional.py:121
Shouldn't it be "when threshold is None"?
if torch.is_floating_point(output) and threshold is None: raise ValueError( f"Output should be one of the integer types if ``threshold`` is None, got {output.dtype}." )
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