utils.py

from collections import abc

import numpy as np
import torch


def cast_tensor_type(inputs, src_type, dst_type):
    if isinstance(inputs, torch.Tensor):
        return inputs.to(dst_type)
    elif isinstance(inputs, str):
        return inputs
    elif isinstance(inputs, np.ndarray):
        return inputs
    elif isinstance(inputs, abc.Mapping):
        return type(inputs)({
            k: cast_tensor_type(v, src_type, dst_type)
            for k, v in inputs.items()
        })
    elif isinstance(inputs, abc.Iterable):
        return type(inputs)(
            cast_tensor_type(item, src_type, dst_type) for item in inputs)
    else:
        return inputs