func.return %0 : tensor<?xf32>
}

//===----------------------------------------------------------------------===//
// tf.UniformQuantizedConvolutionHybrid legalization
//===----------------------------------------------------------------------===//

// -----

// CHECK-LABEL: func @uniform_quantized_convolution_hybrid

          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',

  TF_DerivedResultTypeAttr Tout = TF_DerivedResultTypeAttr<0>;

  let hasVerifier = 1;
}

def TF_UniformQuantizedConvolutionHybridOp : TF_Op<"UniformQuantizedConvolutionHybrid", [Pure]> {
  let summary = [{
Perform hybrid quantized convolution of float Tensor `lhs` and quantized Tensor `rhs`.
  }];

  let description = [{