input_signature=[
              tensor_spec.TensorSpec(
                  name='x', shape=x_signature, dtype=dtypes.float32
              )
          ]
      )
      def einsum_with_kernel(self, x: core.Tensor) -> Mapping[str, core.Tensor]:
        return self._einsum(x, self._kernel)

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(

    model = TwoMatmulModel()
    input_shape = (1, 2)

    save.save(
        model,
        self._input_saved_model_path,
        signatures=model.matmul.get_concrete_function(
            tensor_spec.TensorSpec(
                shape=input_shape, dtype=dtypes.float32, name='input_tensor'
            )
        ),
    )

    def data_gen() -> repr_dataset.RepresentativeDataset:
      for _ in range(50):