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

torch.ldexp(input, other, *, out=None) → Tensor¶

Multiplies input by 2 ** other.

outi=inputi∗2iother\text{{out}}_i = \text{{input}}_i * 2^\text{{other}}_i

Typically this function is used to construct floating point numbers by multiplying mantissas in input with integral powers of two created from the exponents in other.

Parameters

• input (Tensor) – the input tensor.
• other (Tensor) – a tensor of exponents, typically integers.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

torch.ldexp(torch.tensor([1.]), torch.tensor([1])) tensor([2.]) torch.ldexp(torch.tensor([1.0]), torch.tensor([1, 2, 3, 4])) tensor([ 2., 4., 8., 16.])