Function convert_like

utils/commons/tensor_utils.py:83–92

(inp, target)

    return ret

def convert_like(inp, target):
    if isinstance(target, np.ndarray):
        return convert_to_np(inp)
    elif isinstance(target, torch.Tensor):
        inp = convert_to_tensor(inp)
        inp = inp.to()
        if target.device == 'cpu':
            return move_to_cpu(inp)
        else:
            return move_to_cuda(inp)

def move_to_cpu(tensors):
    ret = {}