torch.nextafter# torch.nextafter(input, other, *, out=None) → Tensor# Return the next floating-point value after input towards other, elementwise. The shapes of input and other must be broadcastable. Parameters input (Tensor) – the first input tensor other (Tensor) – the second input tensor Keyword Arguments out (Tensor, optional) – the output tensor. Example: >>> eps = torch.finfo(torch.float32).eps >>> torch.nextafter(torch.tensor([1.0, 2.0]), torch.tensor([2.0, 1.0])) == torch.tensor([eps + 1, 2 - eps]) tensor([True, True])
