torch.sinh

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

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

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

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.