torch (version 0.0.2)

torch_lerp: Lerp

Description

Lerp

Arguments

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

out

(Tensor, optional) the output tensor.

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.

$$ \mbox{out}_i = \mbox{start}_i + \mbox{weight}_i \times (\mbox{end}_i - \mbox{start}_i) $$ The shapes of start and end must be broadcastable . If weight is a tensor, then the shapes of weight, start, and end must be broadcastable .

Examples

# NOT RUN {
if (torch_is_installed()) {

start = torch_arange(1., 5.)
end = torch_empty(4)$fill_(10)
start
end
torch_lerp(start, end, 0.5)
torch_lerp(start, end, torch_full_like(start, 0.5))
}
# }