// Confirm a wide array of attribute survives the round-trip
func.func @main(tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> {
^bb0(%arg0: tensor<1x6x6x16xf32>):
  // CHECK: "tfl.average_pool_2d"(%{{.*}}) <{filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 3 : i32, stride_w = 1 : i32}> : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

func.func @main(tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> {
^bb0(%arg0: tensor<1x6x6x16xf32>):
  // CHECK:      {
  // CHECK-NEXT:   version: 3,
  // CHECK-NEXT:   operator_codes: [ {
  // CHECK-NEXT:     deprecated_builtin_code: 1,
  // CHECK-NEXT:     version: 1,
  // CHECK-NEXT:     builtin_code: AVERAGE_POOL_2D
  // CHECK-NEXT:   } ],

         explicit_paddings = [1, 2, 3, 4, 5, 6, 7, 8],
         padding = "EXPLICIT",
         strides = [5, 6, 7, 8]
       } : (tensor<1x3x32x32xf32>, tensor<1x1x3x8xf32>) -> tensor<1x8x7x6xf32>

  func.return %0 : tensor<1x8x7x6xf32>
}

// CHECK-LABEL: func @transposeFusedBatchNormV3
func.func @transposeFusedBatchNormV3(
  %arg0: tensor<1x64x28x28xf32>,
  %arg1: tensor<64xf32>
) -> tensor<1x64x28x28xf32> {

         explicit_paddings = [1, 2, 3, 4, 5, 6, 7, 8],
         padding = "EXPLICIT",
         strides = [5, 6, 7, 8]
       } : (tensor<1x32x32x3xf32>, tensor<1x1x3x8xf32>) -> tensor<1x7x7x8xf32>

  func.return %0 : tensor<1x7x7x8xf32>
}

// CHECK-LABEL: func @transposeConv2DWithDefaultAttr
func.func @transposeConv2DWithDefaultAttr(%input: tensor<1x32x32x3xf32>, %filter: tensor<1x1x3x8xf32>) -> tensor<?x?x?x?xf32>
{