torch.cosh# torch.cosh(input, *, out=None) → Tensor# Returns a new tensor with the hyperbolic cosine of the elements of input. outi=cosh(inputi)\text{out}_{i} = \cosh(\text{input}_{i}) outi=cosh(inputi) Parameters input (Tensor) – the input tensor. Keyword Arguments out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4) >>> a tensor([ 0.1632, 1.1835, -0.6979, -0.7325]) >>> torch.cosh(a) tensor([ 1.0133, 1.7860, 1.2536, 1.2805]) Note When input is on the CPU, the implementation of torch.cosh may use the Sleef library, which rounds very large results to infinity or negative infinity. See here for details.