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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def convert_dict_to_compatible_tensor(values, targets):
 """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. """

  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