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Remove some unused variables.
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@ -201,7 +201,6 @@ def random_cast_to_half(x: Tensor,
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"""
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if x.dtype == torch.float16:
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return x
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x_sign = x.sign()
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x_abs = x.abs()
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is_too_small = (x_abs < min_abs)
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# for elements where is_too_small is true, random_val will contain +-min_abs with
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@ -223,7 +222,6 @@ class RandomGradFunction(torch.autograd.Function):
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@staticmethod
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def backward(ctx, ans_grad: Tensor) -> Tuple[Tensor, None]:
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min_abs = ctx.min_abs
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if ans_grad.dtype == torch.float16:
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return random_cast_to_half(ans_grad.to(torch.float32),
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min_abs=ctx.min_abs), None
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