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

torch.log — PyTorch 2.7 documentation

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

Returns a new tensor with the natural logarithm of the elements of input.

y i = log ⁡ e ( x i ) y_{i} = \log_{e} (x_{i}) yi​=loge​(xi​)

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> a = torch.rand(5) * 5
>>> a
tensor([4.7767, 4.3234, 1.2156, 0.2411, 4.5739])
>>> torch.log(a)
tensor([ 1.5637,  1.4640,  0.1952, -1.4226,  1.5204])

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