torch.asinh# torch.asinh(input: Tensor, *, out: Optional[Tensor]) → Tensor# Returns a new tensor with the inverse hyperbolic sine of the elements of input. outi=sinh−1(inputi)\text{out}_{i} = \sinh^{-1}(\text{input}_{i}) outi=sinh−1(inputi) Parameters input (Tensor) – the input tensor. Keyword Arguments out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4) >>> a tensor([ 0.1606, -1.4267, -1.0899, -1.0250 ]) >>> torch.asinh(a) tensor([ 0.1599, -1.1534, -0.9435, -0.8990 ])