torch.log

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

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

$$y_{i} = \log_{e} (x_{i})$$

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> a = torch.randn(5)
>>> a
tensor([-0.7168, -0.5471, -0.8933, -1.4428, -0.1190])
>>> torch.log(a)
tensor([ nan,  nan,  nan,  nan,  nan])