util.py

import torch


def broadcast(
    src: torch.Tensor,
    other: torch.Tensor,
    dim: int
):
    if dim < 0:
        dim = other.dim() + dim
    if src.dim() == 1:
        for _ in range(0, dim):
            src = src.unsqueeze(0)
    for _ in range(src.dim(), other.dim()):
        src = src.unsqueeze(-1)
    src = src.expand_as(other)
    return src