torch.asinh

torch.asinh(input: Tensor, *, out: Optional[Tensor]) → Tensor

Returns a new tensor with the inverse hyperbolic sine of the elements of input.

$$\text{out}_{i} = \sinh^{-1}(\text{input}_{i})$$

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 ])