torch.sinh# torch.sinh(input, *, out=None) → Tensor# Returns a new tensor with the hyperbolic sine of the elements of input. outi=sinh(inputi)\text{out}_{i} = \sinh(\text{input}_{i}) outi=sinh(inputi) Parameters input (Tensor) – the input tensor. Keyword Arguments out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4) >>> a tensor([ 0.5380, -0.8632, -0.1265, 0.9399]) >>> torch.sinh(a) tensor([ 0.5644, -0.9744, -0.1268, 1.0845]) Note When input is on the CPU, the implementation of torch.sinh may use the Sleef library, which rounds very large results to infinity or negative infinity. See here for details.