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chore(format): run black on dev (#9)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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@@ -66,13 +66,15 @@ def sequence_mask(
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def total_grad_norm(
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parameters: Iterator[torch.nn.Parameter], norm_type: float=2.0,
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parameters: Iterator[torch.nn.Parameter],
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norm_type: float = 2.0,
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) -> float:
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norm_type = float(norm_type)
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total_norm = 0.0
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for p in parameters:
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if p.grad is None: continue
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if p.grad is None:
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continue
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param_norm = p.grad.data.norm(norm_type)
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total_norm += float(param_norm.item()) ** norm_type
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total_norm = total_norm ** (1.0 / norm_type)
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