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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.sqrt.html below:

torch.sqrt — PyTorch 2.7 documentation

torch.sqrt(input, *, out=None) → Tensor¶

Returns a new tensor with the square-root of the elements of input.

out i = input i \text{out}_{i} = \sqrt{\text{input}_{i}} outi​=inputi​ ​

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> a = torch.randn(4)
>>> a
tensor([-2.0755,  1.0226,  0.0831,  0.4806])
>>> torch.sqrt(a)
tensor([    nan,  1.0112,  0.2883,  0.6933])

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