%0 = "tfl.pseudo_qconst"() {qtype = tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1xi8>} : () -> tensor<1x!quant.uniform<i8:f32, 0.003:-128>>
  %1 = "tfl.pseudo_qconst"() {qtype = tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1xi8>} : () -> tensor<1x!quant.uniform<i8:f32, 0.003:-128>>

          )
      )
      module_str = self._extract_first_xla_call_module_op(
          self._output_saved_model_path
      )
      self.assertTrue(
          re.search('stablehlo.dot_general.*xi8>.*xi8>.*xi32>', module_str)
      )

    # Run quantization the first time, calibration is expected to be skipped.
    output_saved_model_path_2 = self.create_tempdir('output2').full_path