#include <unordered_set>
#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/base/attributes.h"
#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/string_view.h"
#include "absl/types/span.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project

#include "tensorflow/c/experimental/ops/gen/common/view_util.h"

#include "absl/strings/str_join.h"
#include "absl/strings/substitute.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {

string Call(const string& object, const string& method,
            std::vector<string> arguments, const char* oper) {
  return absl::Substitute("$0$1$2($3)", object, oper, method,

    for (auto output : forward_outputs_) {
      if (output) {
        output->Ref();
      }
    }
  }

  Status Compute(AbstractContext* ctx,
                 absl::Span<AbstractTensorHandle* const> grad_outputs,
                 absl::Span<AbstractTensorHandle*> grad_inputs) override {
    AbstractTensorHandle* upstream_grad = grad_outputs[0];
    AbstractTensorHandle* activations = forward_outputs_[0];

#include "tensorflow/compiler/mlir/tensorflow_to_stablehlo/python/pywrap_tensorflow_to_stablehlo_lib.h"

#include <string>
#include <vector>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/string_view.h"
#include "llvm/Support/ToolOutputFile.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Bytecode/BytecodeWriter.h"  // from @llvm-project

#include <string>
#include <unordered_set>
#include <vector>

#include "absl/base/nullability.h"
#include "absl/container/flat_hash_map.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project

// output_arrays is specified.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> LoadFromGraphdefOrMlirSource(
    const std::string& input_filename, bool input_mlir,
    bool use_splatted_constant, const std::vector<std::string>& extra_tf_opdefs,
    const GraphImportConfig& specs, absl::string_view debug_info_file,
    absl::string_view input_arrays, absl::string_view input_dtypes,

// for debugging.
inline constexpr absl::string_view kTfQuantPtqPreCalibrationStepName =
    "tf_quant_ptq_pre_calibration";
inline constexpr absl::string_view kTfQuantPtqPostCalibrationStepName =
    "tf_quant_ptq_post_calibration";
inline constexpr absl::string_view kTfQuantQatStepName = "tf_quant_qat";
inline constexpr absl::string_view kTfQuantPtqDynamicRangeStepName =
    "tf_quant_ptq_dynamic_range";

#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_TENSORFLOW_QUANTIZE_PREPROCESS_H_

#include <cstdint>
#include <optional>
#include <string>

#include "absl/container/flat_hash_set.h"
#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/cc/saved_model/reader.h"

#include <memory>
#include <string>
#include <unordered_set>
#include <utility>

#include "absl/memory/memory.h"
#include "absl/status/statusor.h"
#include "tensorflow/cc/saved_model/constants.h"
#include "tensorflow/cc/saved_model/metrics.h"
#include "tensorflow/cc/saved_model/util.h"
#include "tensorflow/core/framework/attr_value.pb.h"

    return absl::Substitute("$0 $1", VariableType(), attr_.name());
  }
  return absl::Substitute("$0 $1 = $2", VariableType(), attr_.name(),
                          default_value);
}

string AttrView::SetterMethod() const {
  if (!attr_.is_list()) {
    return absl::StrCat("SetAttr", toUpperCamel(attr_.full_type()));
  } else {