func.func @DontFuseAddWithConvActivationFunc(%arg0: tensor<1x3x1x1xf32>) -> tensor<1x2x1x3xf32> {
  %cst = arith.constant dense<1.5> : tensor<1xf32>
  %cst_1 = arith.constant dense<0.0> : tensor<3xf32>
  %cst_2 = arith.constant dense<1.1> : tensor<3x2x1x1xf32>
  %0 = "tfl.add"(%arg0, %cst) {fused_activation_function = "RELU6"} : (tensor<1x3x1x1xf32>, tensor<1xf32>) -> tensor<1x3x1x1xf32>

  // CHECK: mhlo.convolution(%arg0, %arg1)
  // CHECK-SAME{LITERAL}: pad = [[6, 0], [3, 3]]

  %0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "EXPLICIT", explicit_paddings = [0, 0, 6, 0, 3, 3, 0, 0], strides = [1, 4, 5, 1]} : (tensor<256x32x32x6xf32>, tensor<3x3x3x16xf32>) -> tensor<256x9x7x16xf32>

// CHECK:           %[[VAL_3:.*]] = arith.constant dense<[3, 8, 8, 16]> : tensor<4xi64>
// CHECK:           %[[VAL_4:.*]] = "tf.BroadcastTo"(%[[VAL_2]], %[[VAL_3]]) : (tensor<3x1x1x16xf32>, tensor<4xi64>) -> tensor<3x8x8x16xf32>
// CHECK:           return %[[VAL_4]] : tensor<3x8x8x16xf32>
// CHECK:         }