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

torch.sinh(input, *, out=None) → Tensor

Returns a new tensor with the hyperbolic sine of the elements ofinput.

outi=sinh⁡(inputi)\text{out}_{i} = \sinh(\text{input}_{i})

Parameters

input (Tensor) – the input tensor.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

a = torch.randn(4) a tensor([ 0.5380, -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.