code: def convert_dict_to_compatible_tensor(values, targets):
    
    result = {}
    for key, value in sorted(values.items()):
      result[key] = _convert_to_compatible_tensor(
          value, targets[key], error_prefix="Can't convert %r" % key)
    return result
docs: Converts dict `values` in tensors that are compatible with `targets`.
  
    Args:
      values: A dict to objects to convert with same keys as `targets`.
      targets: A dict returned by `parse_tensor_info_map`.
  
    Returns:
      A map with the same keys as `values` but values converted into
      Tensor/SparseTensors that can be fed into `protomap`.
  
    Raises:
      TypeError: If it fails to convert.