// is used. Technically, an empty tree is only valid for the HDIST tree and
	// not the HCLEN and HLIT tree. However, a stream with an empty HCLEN tree
	// is guaranteed to fail since it will attempt to use the tree to decode the
	// codes for the HLIT and HDIST trees. Similarly, an empty HLIT tree is
	// guaranteed to fail later since the compressed data section must be

#include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/lite/quantization/lite/tfl_to_std.h"
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"
#include "tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h"

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

func.func @main(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x401408xf32> {
// CHECK: {
// CHECK-NEXT:  version: 3,
// CHECK-NEXT:  operator_codes: [ {
// CHECK-NEXT:    deprecated_builtin_code: 114,
// CHECK-NEXT:    version: 1,
// CHECK-NEXT:    builtin_code: QUANTIZE
// CHECK-NEXT:  }, {
// CHECK-NEXT:    deprecated_builtin_code: 3,

 * infinite value and itself, the infinite value is returned. If required to do a weighted average
 * between {@link Double#NEGATIVE_INFINITY NEGATIVE_INFINITY} and {@link Double#POSITIVE_INFINITY
 * POSITIVE_INFINITY}, {@link Double#NaN NaN} is returned (note that this will only happen if the
 * dataset contains no finite values).
 *
 * <h3>Performance</h3>
 *

#include "tsl/platform/logging.h"

// Note: branched from tensorflow/lite/tools/optimize/quantize_weights_test.cc

namespace {
tensorflow::string* g_test_model_dir = nullptr;
}  // namespace

namespace tflite {
namespace optimize {
namespace {

using mlir::lite::BufferType;
using mlir::lite::CustomOpMap;
using mlir::lite::QuantizeWeights;
constexpr bool kUseUpdatedHybridSchemeDefault = true;

//             version 3.
// Version 3b: Rename fields in SignatureDef. Has backward compatibility with
//             version 3 and 3a.

namespace tflite;

// This corresponds to the version.
file_identifier "TFL3";
// File extension of any written files.
file_extension "tflite";

// IMPORTANT: All new members of tables, enums and unions must be added at the
// end to ensure backwards compatibility.

### Création d'un `Enum`

Importez `Enum` et créez une sous-classe qui hérite de `str` et `Enum`.

En héritant de `str` la documentation sera capable de savoir que les valeurs doivent être de type `string` et pourra donc afficher cette `Enum` correctement.

⚫️ 🔜 👀 💖 👉:

<img src="/img/tutorial/sql-databases/image02.png">

👆 💪 ⚙️ 💳 🗄 🖥 💖 <a href="https://inloop.github.io/sqlite-viewer/" class="external-link" target="_blank">🗄 📋</a> ⚖️ <a href="https://extendsclass.com/sqlite-browser.html" class="external-link" target="_blank">ExtendsClass</a>.

## 🎛 💽 🎉 ⏮️ 🛠️

#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"
#include "tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.h"

// TFLite legalization patterns

include "mlir/IR/OpBase.td"
include "mlir/IR/PatternBase.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "tensorflow/compiler/mlir/lite/ir/tfl_ops.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"
include "tensorflow/compiler/mlir/lite/utils/utils.td"