auto* ctx = func.getContext();
  patterns.add<PushDownDequantize>(ctx);
  if (failed(applyPatternsAndFoldGreedily(func, std::move(patterns)))) {
    signalPassFailure();
  }
}
}  // namespace

// Creates an instance of the TensorFlow Lite optimize op order pass.
std::unique_ptr<OperationPass<func::FuncOp>> CreateOptimizeOpOrderPass() {
  return std::make_unique<OptimizeOpOrderPass>();
}

  common_error_message_.clear();
  error_collector_->Clear();
}

void ErrorCollectorInstrumentation::runAfterPassFailed(Pass *pass,
                                                       Operation *module) {
  // Create a new error if no errors collected yet.
  if (error_collector_->CollectedErrors().empty() &&
      !common_error_message_.empty()) {
    error_collector_->ReportError(NewConverterErrorData(

    // the resource, and we use it to just look up.
    // See core/kernels/data/iterator_ops.cc.)
    resource_op = builder.create<TF::IteratorOp>(
        op->getLoc(), resource.getType(), shared_name, container,
        it.getOutputTypes(), it.getOutputShapes());
  } else {
    resource_op = builder.create<TF::VarHandleOp>(
        op->getLoc(), resource.getType(), container, shared_name);
  }

    builder.setInsertionPoint(op);
    for (auto& op_operand : op->getOpOperands()) {
      if (IsLargeFloatType(op_operand.get().getType())) {
        op_operand.set(builder.create<TF::CastOp>(
            op->getLoc(), ToBfloat16Type(op_operand.get().getType()),
            op_operand.get()));
      }
    }
    builder.setInsertionPointAfter(op);

  patterns->add<odml::ConvertCustomCallOp>(context);
  populateWithGenerated(*patterns);

  patterns->add<ConvertReduceOpToTFLiteArgmin, ConvertReduceOpToTFLiteArgmax>(
      context);
}

// Creates an instance of the pass.
std::unique_ptr<OperationPass<ModuleOp>> CreateLegalizeHloToTfLitePass() {
  return std::make_unique<LegalizeHloToTfLitePass>();
}

// Registers the pass implementation

  assert(op_name.starts_with("TFL_") && "unexpected op prefix");
  assert(op_name.ends_with("Op") && "unexpected op suffix");

  // E.g., AddOp -> CreateAddOperator
  std::ostringstream oss;
  oss << "Create" << op_name.drop_front(4).str() << "erator";
  return oss.str();
}

static inline bool IsLstmOp(const StringRef op_name) {
  return op_name.take_back(6) == "LSTMOp";
}

static int HasOptions(const Record &def) {

#include "tensorflow/core/platform/macros.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/platform/types.h"

namespace {

// Operators used to create a std::unique_ptr for TF_Tensor and TF_Status.
struct TFTensorDeleter {
  void operator()(TF_Tensor* tf_tensor) const { TF_DeleteTensor(tf_tensor); }
};

struct TFStatusDeleter {

  builder.setInsertionPoint(composite);
  if (IsKVCacheCompositeOp(composite)) {
    return builder.create<TFL::CustomOp>(
        composite->getLoc(), composite->getResultTypes(),
        composite->getOperands().slice(2, 3), composite.getName(),
        CustomOption(&builder, custom_option_buffer));
  }
  return builder.create<TFL::CustomOp>(
      composite->getLoc(), composite->getResultTypes(),

      return rewriter.notifyMatchFailure(
          contraction,
          "fused operation must be nested inside a function, If or While");
    }

    // If the contraction is used in multiple places, fusing it will only create
    // more contraction nodes, which is slower.
    if (!contraction.getResult().hasOneUse())
      return rewriter.notifyMatchFailure(contraction,
                                         "result is used by multiple ops");

                                      data_types, outside_compilation_nodes, g,
                                      n);

  return absl::OkStatus();
}

// Creates a mapping from outside compilation cluster name to lifted argument
// placeholder.
absl::StatusOr<std::unordered_map<string, Node*>> OutsideCompilationAttrToNode(
    const Graph& g) {