torch.log1p — PyTorch 2.5 documentation (original) (raw)

torch.log1p(input, *, out=None) → Tensor¶

Returns a new tensor with the natural logarithm of (1 + input).

yi=log⁡e(xi+1)y_i = \log_{e} (x_i + 1)

Note

This function is more accurate than torch.log() for small values of input

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

a = torch.randn(5) a tensor([-1.0090, -0.9923, 1.0249, -0.5372, 0.2492]) torch.log1p(a) tensor([ nan, -4.8653, 0.7055, -0.7705, 0.2225])

• torch.log1p
  • log1p()