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

torch.lerp(input, end, weight, *, out=None)¶

Does a linear interpolation of two tensors start (given by input) and end based on a scalar or tensor weight and returns the resulting out tensor.

outi=starti+weighti×(endi−starti)\text{out}_i = \text{start}_i + \text{weight}_i \times (\text{end}_i - \text{start}_i)

The shapes of start and end must bebroadcastable. If weight is a tensor, then the shapes of weight, start, and end must be broadcastable.

Parameters

• input (Tensor) – the tensor with the starting points
• end (Tensor) – the tensor with the ending points
• weight (float or tensor) – the weight for the interpolation formula

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

start = torch.arange(1., 5.) end = torch.empty(4).fill_(10) start tensor([ 1., 2., 3., 4.]) end tensor([ 10., 10., 10., 10.]) torch.lerp(start, end, 0.5) tensor([ 5.5000, 6.0000, 6.5000, 7.0000]) torch.lerp(start, end, torch.full_like(start, 0.5)) tensor([ 5.5000, 6.0000, 6.5000, 7.0000])