def _sanitize_pytorch_types(row_as_dict):
    """Promotes values types in a dictionary to the types supported by pytorch. Raises an error if type is clear error
    if the type can not be promoted.

    The parameter is modified in-place.

    int8, uint16 are promoted to int32; uint32 -> int64;
    numpy string_, unicode_, object arrays are not supported.

    :param dict[str,obj] row_as_dict: a dictionary of key-value pairs. The values types are promoted to
        pytorch compatible.
    :return: None
    """
    for name, value in row_as_dict.items():
        # PyTorch supported types are: double, float, float16, int64, int32, and uint8
        if isinstance(value, np.ndarray):
            if value.dtype == np.int8 and _TORCH_BEFORE_1_1:
                row_as_dict[name] = value.astype(np.int16)
            elif value.dtype == np.uint16:
                row_as_dict[name] = value.astype(np.int32)
            elif value.dtype == np.uint32:
                row_as_dict[name] = value.astype(np.int64)
            elif value.dtype == np.bool_:
                row_as_dict[name] = value.astype(np.uint8)
            elif re.search('[SaUO]', value.dtype.str):
                raise TypeError('Pytorch does not support arrays of string or object classes. '
                                'Found in field {}.'.format(name))
        elif isinstance(value, np.bool_):
            row_as_dict[name] = np.uint8(value)
        elif value is None:
            raise TypeError('Pytorch does not support nullable fields. Found None in {}'.format(name))
Promotes values types in a dictionary to the types supported by pytorch. Raises an error if type is clear error
    if the type can not be promoted.

    The parameter is modified in-place.

    int8, uint16 are promoted to int32; uint32 -> int64;
    numpy string_, unicode_, object arrays are not supported.

    :param dict[str,obj] row_as_dict: a dictionary of key-value pairs. The values types are promoted to
        pytorch compatible.
    :return: None
    
petastorm/pytorch.py