continuec := make(chan struct{})
	cst := newClientServerTest(t, mode, HandlerFunc(func(w ResponseWriter, r *Request) {
		ctl := NewResponseController(w)
		w.Write([]byte("one"))
		if err := ctl.Flush(); err != nil {
			t.Errorf("ctl.Flush() = %v, want nil", err)
			return
		}
		<-continuec
		w.Write([]byte("two"))
	}))

	res, err := cst.c.Get(cst.ts.URL)
	if err != nil {

  [(IsNotInLiftedFunc $res), (FloatValueEquals<"0"> $cst)], [], (addBenefit 10)>;

def LiftDotGeneralWithRelu : Pat<
  (StableHLO_MaxOp:$res
    (StableHLO_DotGeneralOp
        $lhs, $rhs, $dot_dimension_numbers, $precision_config),
    (StableHLO_ConstantOp $cst)),
  (LiftAsTFXlaCallModule<"composite_dot_general_with_relu_fn">
    (ArgumentList $lhs, $rhs),

func.func @merge_requantization_followed_by_dequantization(%arg0: tensor<1x3x4x3xf32>) -> tensor<1x3x4x2xf32> {
  // CHECK: %[[CST:.*]] = stablehlo.constant dense<4.000000e-01> : tensor<2x3x3x2xf32>
  // CHECK: %[[QUANT_CST:.*]] = stablehlo.uniform_quantize %[[CST]]
  // CHECK: %[[QUANT_ARG_0:.*]] = stablehlo.uniform_quantize %[[ARG_0]]
  // CHECK: %[[CONV:.*]] = stablehlo.convolution(%[[QUANT_ARG_0]], %[[QUANT_CST]])

    %cst = arith.constant dense<"f"> : tensor<!tf_type.string>
    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = i64, shared_name = "hash_table_dba2ccaa-f1b1-46d6-b276-98008f69da71", use_node_name_sharing = false, value_dtype = !tf_type.string} : () -> tensor<!tf_type.resource>

    %cst = "tf.Const"() {value = dense<1024> : tensor<i32>} : () -> tensor<i32>
    %0:2 = "tf_device.launch"() ({
	  %1 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<2048xi64>) -> tensor<2048xi32>
	  %2 = "tf.Cast"(%arg1) {Truncate = false} : (tensor<2048xi64>) -> tensor<2048xi32>

func.func @remove_volatile_qdq() -> tensor<3x2xf32> {
  // CHECK: %[[CST:.*]] = stablehlo.constant
  // CHECK-NOT: "quantfork.qcast"
  // CHECK-NOT: "quantfork.dcast"
  // CHECK: return %[[CST]]
  %cst = stablehlo.constant dense<[[-0.960978984, -0.390246302], [-0.790828585, -0.601039409], [-1.0280807, -1.02731466]]> : tensor<3x2xf32>

  func.return %98 : tensor<8x6x6x18xbf16>

  // CHECK-DAG: %[[CST:.*]] = "tf.Const"() <{value = dense<[8, 1, 1, 18]> : tensor<4xi64>}> : () -> tensor<4xi64>
  // CHECK-DAG: %[[CST1:.*]] =  "tf.Const"() <{value = dense<[8, 6, 6, 18]> : tensor<4xi64>}> : () -> tensor<4xi64>
  // CHECK: %[[RESHAPE:.*]] = "tf.Reshape"(%arg0, %[[CST]]) : (tensor<1x8x1x1x1x1x1x18xbf16>, tensor<4xi64>) -> tensor<8x1x1x18xbf16>

  ElementsAttr attr;
  ShapedType type;
  InspectResult result = {};
  if (auto cst = dyn_cast<ConstOp>(inst)) {
    attr = cst.getValue();
    type = mlir::cast<ShapedType>(cst.getType());
  } else if (auto cst = dyn_cast<QConstOp>(inst)) {
    attr = cst.getValue();
    type = mlir::cast<ShapedType>(cst.getType());
  } else {
    result.can_compress = false;
    return result;
  }

  %cst = arith.constant dense<[2, 2]> : tensor<2xi32>
  %cst_0 = arith.constant dense<4> : tensor<2x2xi32>
  %0 = "tf.SpaceToBatchND"(%arg0, %cst, %cst_0) : (tensor<1x128x128x3xf32>, tensor<2xi32>, tensor<2x2xi32>) -> tensor<4x68x68x3xf32>
  %1 = "tf.SpaceToBatchND"(%arg0, %cst, %cst_0) : (tensor<1x128x128x3xf32>, tensor<2xi32>, tensor<2x2xi32>) -> tensor<4x68x68x3xf32>

		}
	}

	if cst.ts.Config.ErrorLog == nil {
		cst.ts.Config.ErrorLog = log.New(testLogWriter{t}, "", 0)
	}

	switch mode {
	case http1Mode:
		cst.ts.Start()
	case https1Mode:
		cst.ts.StartTLS()
	case http2Mode:
		ExportHttp2ConfigureServer(cst.ts.Config, nil)
		cst.ts.TLS = cst.ts.Config.TLSConfig
		cst.ts.StartTLS()
	default:
		t.Fatalf("unknown test mode %v", mode)
	}
	cst.c = cst.ts.Client()