`signature_keys` contains more than one signature key,
      `representative_datsaet` should be a mapping that maps each signature keys
      to the corresponding representative dataset.
    force_graph_mode_calibration: If set to true, it forces calibration in graph
      model instead of eager mode when the context is in eager mode.

  Raises:
    ValueError iff:

    raise ValueError(
        'Representative dataset is not a mapping (got: '
        f'{type(representative_dataset)}), but there is more than one '
        'signature key provided. Please provide a map of '
        '{signature_key -> dataset} with more than one signature key.'
    )
  else:
    representative_dataset_map = {
        list(signature_def_map.keys())[0]: representative_dataset,
    }

                  name='y', shape=y_signature, dtype=dtypes.float32
              ),
          ]
      )
      def einsum_without_kernel(
          self, x: core.Tensor, y: core.Tensor
      ) -> Mapping[str, core.Tensor]:
        return self._einsum(x, y)

      def _einsum(self, x, y):

        out = tensorflow.einsum(equation, x, y)
        if self._bias is not None:

from absl import logging

# pylint: disable=g-importing-member
from google.protobuf.any_pb2 import Any
# pylint: enable=g-importing-member
from tensorflow.core.framework import graph_pb2
from tensorflow.core.protobuf import meta_graph_pb2
from tensorflow.core.protobuf import saver_pb2
from tensorflow.python.client import session
from tensorflow.python.framework import importer
from tensorflow.python.framework import ops