torch.lerp#

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

Does a linear interpolation of two tensorsstart (given byinput) andend basedon a scalar or tensorweight and returns the resultingout tensor.

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

The shapes ofstart andend must bebroadcastable. Ifweight is a tensor, thenthe shapes ofweight,start, andend must bebroadcastable.

Parameters

• input (Tensor) – the tensor with the starting points

• end (Tensor) – the tensor with the ending points

• weight (float ortensor) – 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)>>>starttensor([ 1.,  2.,  3.,  4.])>>>endtensor([ 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])