#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"

#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"

---

Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**

	//
	// Then the proof of termination is this:
	// On every iteration where we mark the roots as dirty, we add some new module
	// version to the map. The universe of module versions is finite, so we must
	// eventually reach a state in which we do not add any version to the map.
	// In that state, we either report a conflict or succeed in the edit.
	rejectedRoot := map[module.Version]bool{}

	}

	// NOTE: there are other fields like `selector` which we could wipe.
	// Historically we did not wipe them and they are not allocated from
	// finite pools, so we are (currently) choosing to leave them alone.

	// Clear the load-balancer status if it is no longer appropriate.  Although
	// LB de-provisioning is actually asynchronous, we don't need to expose the