def clip_inplace(tensor: T.FloatTensor,
a_min: T.Scalar = -numpy.inf,
a_max: T.Scalar = numpy.inf) -> None:
"""
Clip the values of a tensor between a_min and a_max.
Note:
Modifies tensor in place.
Args:
tensor: A tensor.
a_min (optional): The desired lower bound on the elements of the tensor.
a_max (optional): The desired upper bound on the elements of the tensor.
Returns:
None
"""
return torch.clamp(tensor, a_min, a_max, out=tensor)
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