torch.reciprocal# 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}} outi=inputi1 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])
