/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include <string>

#ifdef __s390x__
#include "llvm/ADT/StringRef.h"
#include "llvm/TargetParser/Host.h"
#endif
#include "pybind11/cast.h"  // from @pybind11
#include "pybind11/pybind11.h"  // from @pybind11
#include "pybind11/pytypes.h"  // from @pybind11
#include "pybind11/stl.h"  // from @pybind11
#include "tensorflow/compiler/aot/compile.h"
#include "tensorflow/compiler/aot/flags.h"
#include "tensorflow/python/lib/core/pybind11_lib.h"
#include "tensorflow/python/lib/core/pybind11_status.h"

namespace py = pybind11;

PYBIND11_MODULE(_pywrap_tfcompile, m) {
  m.doc() = R"pbdoc(
    _pywrap_tfcompile
    -----
  )pbdoc";

  m.def(
      "Compile",
      [](std::string graph, std::string config, std::string target_triple,
         std::string target_cpu, std::string target_features,
         std::string entry_point, std::string cpp_class,
         std::string out_function_object, std::string out_metadata_object,
         std::string out_header, std::string out_session_module,
         std::string out_constant_buffers_object, std::string mlir_components,
         bool gen_name_to_index, bool gen_program_shape) {
        tensorflow::tfcompile::MainFlags flags;
        flags.graph = std::move(graph);
        flags.config = std::move(config);
#ifdef __s390x__
        flags.target_triple = std::move(
            target_triple.empty() ? llvm::sys::getDefaultTargetTriple()
                                  : target_triple);
        flags.target_cpu =
            std::move(target_cpu.empty() ? llvm::sys::getHostCPUName().str()
                                         : target_cpu);
#else
        flags.target_triple = std::move(target_triple);
        flags.target_cpu = std::move(target_cpu);
#endif
        flags.target_features = std::move(target_features);
        flags.entry_point = std::move(entry_point);
        flags.cpp_class = std::move(cpp_class);
        flags.out_function_object = std::move(out_function_object);
        flags.out_metadata_object = std::move(out_metadata_object);
        flags.out_header = std::move(out_header);
        flags.out_session_module = std::move(out_session_module);
        flags.out_constant_buffers_object =
            std::move(out_constant_buffers_object);
        flags.mlir_components = std::move(mlir_components);

        // C++ codegen options
        flags.gen_name_to_index = gen_name_to_index;
        flags.gen_program_shape = gen_program_shape;

        tensorflow::MaybeRaiseFromStatus(tensorflow::tfcompile::Main(flags));
      },
      py::arg("graph") = "", py::arg("config") = "",
#ifdef __s390x__
      py::arg("target_triple") = "",
#else
      py::arg("target_triple") = "x86_64-pc-linux",
#endif
      py::arg("target_cpu") = "", py::arg("target_features") = "",
      py::arg("entry_point") = "entry", py::arg("cpp_class") = "",
      py::arg("out_function_object") = "out_model.o",
      py::arg("out_metadata_object") = "out_helper.o",
      py::arg("out_header") = "out.h", py::arg("out_session_module") = "",
      py::arg("out_constant_buffers_object") = "",
      py::arg("mlir_components") = "", py::arg("gen_name_to_index") = false,
      py::arg("gen_program_shape") = false);
}