"1; this could happen if the binary doesn't link the constant fold "
        "hook registration library.");
  }

  PassManager bridge(module.getContext());
  bridge.enableVerifier();
  ::tensorflow::applyTensorflowAndCLOptions(bridge);

  // Populate a passmanager with the list of passes that implement the bridge.
  pipeline_builder(bridge);

  mlir::StatusScopedDiagnosticHandler diag_handler(

#include "mlir/IR/OperationSupport.h"  // from @llvm-project
#include "mlir/IR/PatternMatch.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "mlir/Support/FileUtilities.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"

#include "absl/log/log.h"
#include "absl/status/status.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "mlir/Pass/PassRegistry.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Transforms/Passes.h"  // from @llvm-project

        "1; this could happen if the binary doesn't link the constant fold "
        "hook registration library.");
  }

  PassManager bridge(module.getContext());
  bridge.enableVerifier();
  ::tensorflow::applyTensorflowAndCLOptions(bridge);

  // Populate a passmanager with the list of passes that implement the bridge.
  pipeline_builder(bridge);

  mlir::StatusScopedDiagnosticHandler diag_handler(

    module = tflite::FlatBufferToMlir(
        buffer_view, &context, loc, use_external_constant, ordered_input_arrays,
        ordered_output_arrays);
    mlir::PassManager pm(&context, module.get()->getName().getStringRef(),
                         mlir::PassManager::Nesting::Implicit);
    mlir::tosa::TOSATFLLegalizationPipelineOptions opts;
    // This flow is specific to compilation backend, so set to true.

  *os = std::make_unique<WritableFileRawStream>(std::move(file));
  return Status();
}

// Prints the pass pipeline of `pass_manager` to `os`.
void PrintPassPipeline(const mlir::PassManager& pass_manager,
                       mlir::Operation* op, llvm::raw_ostream& os) {
  std::string str;
  llvm::raw_string_ostream passOS(str);
  llvm::interleaveComma(
      pass_manager.getPasses(), passOS,

#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/debug/debug_options.pb.h"

namespace tensorflow {

// Initializes the pass manager with default options that make debugging easier.
// The `out` method parameter is exposed for testing purposes and not intended
// to be specified by client code.
void InitPassManager(mlir::PassManager& pm,

#include <string>

#include "llvm/ADT/StringRef.h"
#include "mlir/Pass/PassManager.h"  // from @llvm-project

namespace tensorflow {
namespace tf2xla {
namespace internal {

// Setup the input pass manager to enable IR dumping after each pass.
// Note a side effect of this method is that multi threading will be disabled.
void EnablePassIRPrinting(mlir::PassManager& pm,
                          const std::string& dump_group_name,

#include "absl/status/status.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "tensorflow/core/public/session.h"

namespace tensorflow {
namespace quantization {

// Default MLIR dump file prefix for TensorFlow quantization passes.

#include "llvm/ADT/ArrayRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Transforms/Passes.h"  // from @llvm-project