// Build the graph:
  // "add" = "const_0" + "const_1"
  // "identity" = "add"
  tensorflow::Scope s = tensorflow::Scope::NewRootScope();
  Output const_0 = ops::Const(s.WithOpName("const_0"), 1, {2});
  Output const_1 = ops::Const(s.WithOpName("const_1"), 2, {2});
  Output add = ops::Add(s.WithOpName("add"), const_0, const_1);
  Output identity = ops::Identity(s.WithOpName("identity"), add);

    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: func @conv2d
// CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x512x2xf32>
// CHECK: %0 = "quantfork.qcast"(%[[CONST_1]]) : (tensor<2x3x512x2xf32>) -> tensor<2x3x512x2x!quant.uniform<i8<-127:127>:f32:3, {0.023622047244094488,0.023622047244094488}>>

    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: func @depthwise_conv
// CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<6xf32>
// CHECK: %[[CONST_1:.*]] = arith.constant dense
// CHECK-NOT: tensor<2x3x3x2xf32>
// CHECK-SAME: tensor<2x3x1x6xf32>

// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{{{.*value = dense<"var_0"> : tensor<1x!tf_type.string>.*}}}>
// CHECK-DAG: %[[CONST_1:.*]] = "tf.Const"() <{{{.*value = dense<""> : tensor<1x!tf_type.string>.*}}}>
// CHECK: "tf.SaveV2"(%[[ARG]], %[[CONST_0]], %[[CONST_1]], %[[READ_VARIABLE]])
// CHECK: return
}

// -----

    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: func @conv2d
// CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x3x512xf32>
// CHECK: %0 = "quantfork.qcast"(%[[CONST_1]]) : (tensor<2x3x3x512xf32>) -> tensor<2x3x3x512x!quant.uniform<i8<-127:127>:f32, 0.023622047244094488>>

    %Const_3, %ctl_4 = Const [%ctl_2] name("while/Less/y") {dtype = i32, value = dense<10> : tensor<i32>} : () -> (tensor<i32>)
    %Less, %ctl_5 = Less(%Merge#0, %Const_3) name("while/Less") {T = i32} : (tensor<*xi32>, tensor<i32>) -> (tensor<*xi1>)

// CHECK-DAG: %[[VAR_HANDLE_0:.*]] = "tf.VarHandleOp"() {{.*shared_name = "const_0".*}}
// CHECK-DAG: "tf.AssignVariableOp"(%[[VAR_HANDLE_0]], %[[CST_0]])

// CHECK-DAG: %[[CST_1:.*]] = "tf.Const"() <{{{.*value = dense<2.000000e\+00> : tensor<8xf32>.*}}}>
// CHECK-DAG: %[[VAR_HANDLE_1:.*]] = "tf.VarHandleOp"()  {{.*shared_name = "const_1".*}}
// CHECK-DAG: "tf.AssignVariableOp"(%[[VAR_HANDLE_1]], %[[CST_1]])

}

// CHECK-LABEL: func @conv_with_dynamic_channel_dim
// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<1xf32>}> : () -> tensor<1xf32>
// CHECK-DAG: %[[CONST_1:.*]] = "tf.Const"() {{.*}} : () -> tensor<2x3x3x1xf32>
// CHECK: %[[PARTITIONEDCALL_0:.*]] = "tf.PartitionedCall"(%arg0, %[[CONST_1]], %[[CONST_0]])
// CHECK-SAME: f = @composite_conv2d_with_bias_and_relu6_fn_1

// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<5.000000e-01> : tensor<2xf32>}> : () -> tensor<2xf32>

  func.return
}

// CHECK:      tf_executor.island
// CHECK:      [[CONST_0:%.+]] = "tf.Const"
// CHECK-SAME: value = dense<1> : tensor<i64>
// CHECK:      tf_executor.yield [[CONST_0]]
// CHECK:      tf_executor.island
// CHECK:      [[CONST_1:%.+]] = "tf.Const"
// CHECK-SAME: value = dense<2> : tensor<i64>
// CHECK:      tf_executor.yield [[CONST_1]]

// -----