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WIP use torch cond to raise error #8989

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WIP use torch cond to raise error #8989

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9 changes: 7 additions & 2 deletions torchvision/transforms/_functional_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -919,8 +919,13 @@ def normalize(tensor: Tensor, mean: List[float], std: List[float], inplace: bool
dtype = tensor.dtype
mean = torch.as_tensor(mean, dtype=dtype, device=tensor.device)
std = torch.as_tensor(std, dtype=dtype, device=tensor.device)
if (std == 0).any():
raise ValueError(f"std evaluated to zero after conversion to {dtype}, leading to division by zero.")

def stdzero():
raise ValueError(
f"std evaluated to zero after conversion to {dtype}, leading to division by zero."
)

torch.cond((std == 0).any(), stdzero, lambda: None)
if mean.ndim == 1:
mean = mean.view(-1, 1, 1)
if std.ndim == 1:
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