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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_inputs(inputs, tensor_info_map):
 """Converts from inputs into dict of input tensors. This handles: - putting inputs into a dict, per _prepare_dict_inputs(), - converting all input values into tensors compatible with the expected input tensor (dtype, shape). - check sparse/non-sparse tensor types. Args: inputs: inputs fed to Module.__call__(). tensor_info_map: A map from string to `tensor_info.ParsedTensorInfo` describing the signature inputs. Returns: A dict of tensors to feed to the signature instantiation. Raises: TypeError: If it fails to convert the input values into a dict of tensors to feed to the signature instantiation. """

  dict_inputs = _prepare_dict_inputs(inputs, tensor_info_map)
  return tensor_info.convert_dict_to_compatible_tensor(dict_inputs,
                                                       tensor_info_map)