// expected-error @below {{'tf.UniformQuantizedConvolutionHybrid' op quantization_axis is -1, scales must have 0 rank.}}
  %0 = "tf.UniformQuantizedConvolutionHybrid"(%lhs, %rhs, %rhs_scales, %rhs_zps) {
    window_strides = [1, 2],
    padding = "VALID",
    explicit_padding = [],
    lhs_dilation = [1, 1],

          self._contains_op(
              output_graphdef, 'UniformQuantizedConvolutionHybrid'
          )
      )
      self.assertFalse(self._contains_op(output_graphdef, 'Conv2D'))
      if enable_per_channel_quantization:
        self.assertTrue(
            self._contains_op(
                output_graphdef,
                'UniformQuantizedConvolutionHybrid',
                'rhs_quantization_axis',