// Unsupported strides
  %2 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NCHW", ksize = [1, 1, 3, 6], padding = "VALID", strides = [1, 3, 3, 1]} : (tensor<1x16x6x6xf32>) -> tensor<1x16x1x1xf32>

  %5 = arith.addf %0, %1 : tensor<1x16x1x1xf32>
  %6 = arith.addf %2, %5 : tensor<1x16x1x1xf32>
  func.return %6 : tensor<1x16x1x1xf32>

//   %cst = arith.constant dense<1.0> : tensor<16x16x4xf32>
//   %0 = "tfl.conv_2d"...
//   %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<16x16x4xf32>)
// After this optimization:
//   %cst = arith.constant dense<1.0> : tensor<f32>
//   %0 = "tfl.conv_2d"...
//   %1 = "tfl.add"(%0, %cst) : (tensor<16x16x4xf32>, tensor<f32>)