// CHECK-SAME:                        %[[VAL_1:.*]]: tensor<1x2xi32>) -> tensor<1x2xi32> {
// CHECK:           %[[VAL_2:.*]] = "tf.AddV2"(%[[VAL_0]], %[[VAL_1]]) : (tensor<1xi32>, tensor<1x2xi32>) -> tensor<1x2xi32>
// CHECK:           return %[[VAL_2]] : tensor<1x2xi32>
// CHECK:         }
func.func @broadcast_add_chlo(%arg0: tensor<1xi32>, %arg1: tensor<1x2xi32>) -> tensor<1x2xi32> {

}

// -----

// CHECK-LABEL: func @select_batch_static_r1
func.func @select_batch_static_r1(%arg0: tensor<i1>, %arg1: tensor<2x6x8xi32>, %arg2: tensor<2x6x8xi32>) -> tensor<2x6x8xi32> {
  // CHECK: mhlo.select %arg0, %arg1, %arg2
  %0 = "tf.Select"(%arg0, %arg1, %arg2) : (tensor<i1>, tensor<2x6x8xi32>, tensor<2x6x8xi32>) -> tensor<2x6x8xi32>
  func.return %0: tensor<2x6x8xi32>
}

// -----

// CHECK-LABEL: squeezeToReshape
func.func @squeezeToReshape(%arg0: tensor<1x1x2xf32>) -> tensor<2xf32> {
  %0 = "tfl.squeeze"(%arg0) : (tensor<1x1x2xf32>) -> tensor<2xf32>
  func.return %0 : tensor<2xf32>

  // CHECK-DAG: [[CONST:.*]] = arith.constant dense<2> : tensor<1xi32>
  // CHECK: %[[RESULT:.*]] = "tfl.reshape"(%arg0, %[[CONST:.*]]) : (tensor<1x1x2xf32>, tensor<1xi32>) -> tensor<2xf32>
  // CHECK: return %[[RESULT]]
}