// CHECK: %0 = "tfl.pseudo_const"() <{value = dense<2> : tensor<2xi32>}> : () -> tensor<2xi32>
// CHECK: %1 = "tfl.reshape"(%arg0, %0) : (tensor<1x4xf32>, tensor<2xi32>) -> tensor<2x2xf32>

{
  "version": 3,
  "operator_codes": [
    {
      "builtin_code": "RESHAPE"
    }
  ],
  "subgraphs": [
    {
      "tensors": [
        {
          "shape": [1, 4],
          "name": "input",
          "quantization": {

// If input and output tensors don't have names, there shouldn't be an
// `tf.entry_function` attribute created.
// CHECK-NOT: tf.entry_function

{
  "version": 3,
  "operator_codes": [
    {
      "builtin_code": "CONV_2D"
    }
  ],
  "subgraphs": [
    {
      "tensors": [
        {
          "shape": [
            256,
            32,
            32,
            3

func.func @serving_default(%arg0: tensor<3x2xf32>) -> tensor<3x2xf32> attributes {tf.entry_function = {inputs = "serving_default_x", outputs = "outputs"}} {
// CHECK:       {

// CHECK-LABEL:   version: 3,

// CHECK-LABEL:   operator_codes: [ {
// CHECK:           version: 1
// CHECK:         } ],

// CHECK-LABEL:   subgraphs: [ {
// CHECK:           tensors: [ {
// CHECK:             shape: [ 3, 2 ],
// CHECK:             buffer: 1,

func.func @main(%arg0: tensor<*x!quant.uniform<u16:f32, 2.0:37>>) -> tensor<*x!quant.uniform<u16:f32, 2.0:37>> {
// CHECK:     {
// CHECK-NEXT:  version: 3,
// CHECK-NEXT:  operator_codes: [ ],
// CHECK-NEXT:  subgraphs: [ {
// CHECK-NEXT:    tensors: [ {
// CHECK-NEXT:      shape: [  ],
// CHECK-NEXT:      type: UINT16,
// CHECK-NEXT:      buffer: 1,
// CHECK-NEXT:      name: "arg0",

module {
func.func @serving_default(%arg0: tensor<*xf32>) -> tensor<*xf32> attributes {tf.entry_function = {inputs = "serving_default_x", outputs = "outputs"}} {
// CHECK:     {
// CHECK-NEXT:  version: 3,
// CHECK-NEXT:  operator_codes: [ {
// CHECK-NEXT:    version: 1
// CHECK-NEXT:  } ],
// CHECK-NEXT:  subgraphs: [ {
// CHECK-NEXT:    tensors: [ {
// CHECK-NEXT:      shape: [  ],
// CHECK-NEXT:      buffer: 1,

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

// CHECK:      {
// CHECK-NEXT:    version: 3,
// CHECK-NEXT:    operator_codes: [ {
// CHECK-NEXT:    deprecated_builtin_code: 32,
// CHECK-NEXT:    custom_code: "NumericVerify",
// CHECK-NEXT:    builtin_code: CUSTOM
// CHECK-NEXT:  } ],
// CHECK-NEXT:  subgraphs: [ {
// CHECK-NEXT:    tensors: [ {
// CHECK-NEXT:      shape: [ 4 ],

// CHECK: return %[[RES0]] : tensor<256x32x32x16xf32>

{
  "version": 3,
  "operator_codes": [
    {
      "builtin_code": "CONV_2D"
    }
  ],
  "subgraphs": [
    {
      "tensors": [
        {
          "shape": [
            256,
            32,
            32,
            3

func.func @main(tensor<4xf32>) -> tensor<4xf32> {
^bb0(%arg0: tensor<4xf32>):
// CHECK: {
// CHECK-NEXT:   version: 3,
// CHECK-NEXT:     operator_codes: [ {
// CHECK-NEXT:       deprecated_builtin_code: 80,
// CHECK-NEXT:       version: 1,
// CHECK-NEXT:       builtin_code: FAKE_QUANT
// CHECK-NEXT:     } ],
// CHECK-NEXT:     subgraphs: [ {

func.func @main(tensor<4xf64>, tensor<4xf64>) -> tensor<4xf64> {
^bb0(%arg0: tensor<4xf64>, %arg1: tensor<4xf64>):
// CHECK:  {
// CHECK-NEXT:  version: 3,
// CHECK-NEXT:  operator_codes: [ {
// CHECK-NEXT:    deprecated_builtin_code: 32,
// CHECK-NEXT:    custom_code: "FlexAdd",
// CHECK-NEXT:    builtin_code: CUSTOM
// CHECK-NEXT:  } ],
// CHECK-NEXT:  subgraphs: [ {
// CHECK-NEXT:    tensors: [ {

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-custom-ops -emit-builtin-tflite-ops=false -o - | flatbuffer_to_string - | FileCheck %s

// CHECK: {
// CHECK:   version: 3,
// CHECK:   operator_codes: [ {
// CHECK:     deprecated_builtin_code: 32,
// CHECK:     custom_code: "SomeOperation",
// CHECK:     builtin_code: CUSTOM
// CHECK:   } ],
// CHECK:   subgraphs: [ {
// CHECK:     tensors: [ {
// CHECK:       shape: [  ],