torch.reciprocal — PyTorch 2.7 documentation (original) (raw)

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

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

outi=1inputi\text{out}_{i} = \frac{1}{\text{input}_{i}}

Note

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

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])