torch.reciprocal

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

Returns a new tensor with the reciprocal of the elements of input

Note

Unlike NumPy’s reciprocal, torch.reciprocal supports integral inputs. Integral inputs to reciprocal are automatically promoted to the default scalar type.

$$\text{out}_{i} = \frac{1}{\text{input}_{i}}$$

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> a = torch.randn(4)
>>> a
tensor([-0.4595, -2.1219, -1.4314,  0.7298])
>>> torch.reciprocal(a)
tensor([-2.1763, -0.4713, -0.6986,  1.3702])