torch.acosh — PyTorch 2.7 documentation (original) (raw)

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

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

outi=cosh⁡−1(inputi)\text{out}_{i} = \cosh^{-1}(\text{input}_{i})

Note

The domain of the inverse hyperbolic cosine is [1, inf) and values outside this range will be mapped to NaN, except for + INF for which the output is mapped to + INF.

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

a = torch.randn(4).uniform_(1, 2) a tensor([ 1.3192, 1.9915, 1.9674, 1.7151 ]) torch.acosh(a) tensor([ 0.7791, 1.3120, 1.2979, 1.1341 ])