context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;
    mlir_module_ =
        mlir::parseSourceFile<mlir::ModuleOp>(mlir_module_path, &context_);
    if (!mlir_module_) {
      return absl::Status(
          absl::StatusCode::kNotFound,
          absl::StrCat("Could not find MLIR module at ", mlir_module_path));

        "@com_google_absl//absl/algorithm:container",
        "@com_google_absl//absl/base:core_headers",
        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/strings:cord",
        "@com_google_absl//absl/strings:str_format",

==============================================================================*/

#include "tensorflow/compiler/mlir/lite/sparsity/sparsify_model.h"

#include <string>

#include "absl/log/log.h"
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/string_view.h"
#include "flatbuffers/flatbuffer_builder.h"  // from @flatbuffers
#include "llvm/ADT/SmallVector.h"

#include <algorithm>
#include <memory>
#include <set>
#include <string>
#include <tuple>
#include <utility>
#include <vector>

#include "absl/container/flat_hash_set.h"
#include "absl/memory/memory.h"
#include "absl/strings/str_split.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/TypeSwitch.h"
#include "llvm/Support/Casting.h"

        "//tensorflow/compiler/mlir/lite:flatbuffer_translate_lib",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/status:statusor",
        "@com_google_absl//absl/strings:str_format",
        "@com_google_absl//absl/strings:string_view",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:ArithDialect",
        "@llvm-project//mlir:FuncDialect",

#include "tensorflow/c/kernels.h"

#include <algorithm>
#include <cstdint>
#include <cstring>
#include <functional>
#include <memory>
#include <string>
#include <vector>

#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/experimental/stream_executor/stream_executor.h"

        "//tensorflow/compiler/mlir/quantization/tensorflow/python:py_function_lib",
        "//tensorflow/core/protobuf:for_core_protos_cc",
        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/strings:string_view",
    ],
)

# See the comments for `pywrap_quantization_lib_header_only`.
cc_library(
    name = "pywrap_quantization_lib_impl",

    deps = [
        ":tensorflow",
        "//tensorflow/core/protobuf/tpu:compile_metadata_proto_cc",
        "@com_google_absl//absl/log",
        "@com_google_absl//absl/log:check",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/status:statusor",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",

        "//tensorflow/core:protos_all_cc",
        "//tensorflow/lite:framework",
        "//tensorflow/lite/c:c_api_types",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/log",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
        "@llvm-project//mlir:Support",
    ],
)

    context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;
    mlir_module_ =
        mlir::parseSourceFile<mlir::ModuleOp>(mlir_module_path, &context_);
    if (!mlir_module_) {
      return absl::Status(
          absl::StatusCode::kNotFound,
          absl::StrCat("Could not find MLIR module at ", mlir_module_path));