--- /dev/null
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
+ */
+
+#ifndef __RAW_MODEL_H__
+#define __RAW_MODEL_H__
+
+#include "tflite_generated.h"
+
+namespace tflchef
+{
+
+struct RawModel
+{
+ virtual ~RawModel() = default;
+
+ virtual const ::tflite::Model *model(void) const = 0;
+};
+
+/**
+ * @brief Load TensorFlow Lite model (as a RawModel) from a given path
+ *
+ * @note May return a nullptr
+ */
+std::unique_ptr<RawModel> load_tflite(const std::string &path);
+
+} // namespace tflchef
+
+#endif // __RAW_MODEL_H__
--- /dev/null
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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 <tflchef/RawModel.h>
+
+#include <fcntl.h>
+#include <unistd.h>
+#include <sys/stat.h>
+#include <sys/mman.h>
+
+namespace
+{
+
+class MemoryMappedRawModel final : public tflchef::RawModel
+{
+public:
+ /**
+ * @require fd and data SHOULD be valid
+ */
+ explicit MemoryMappedRawModel(int fd, void *data, size_t size) : _fd{fd}, _data{data}, _size{size}
+ {
+ // DO NOTHING
+ }
+
+public:
+ ~MemoryMappedRawModel()
+ {
+ munmap(_data, _size);
+ close(_fd);
+ }
+
+public:
+ MemoryMappedRawModel(const MemoryMappedRawModel &) = delete;
+ MemoryMappedRawModel(MemoryMappedRawModel &&) = delete;
+
+public:
+ const ::tflite::Model *model(void) const override { return ::tflite::GetModel(_data); }
+
+private:
+ int _fd = -1;
+ void *_data = nullptr;
+ size_t _size = 0;
+};
+
+} // namespace
+
+namespace
+{
+
+class OwnedFileDescriptor final
+{
+public:
+ OwnedFileDescriptor(int value) : _value{value}
+ {
+ // DO NOTHING
+ }
+
+public:
+ // NOTE Copy is not allowed
+ OwnedFileDescriptor(const OwnedFileDescriptor &) = delete;
+
+public:
+ // NOTE Move is allowed
+ OwnedFileDescriptor(OwnedFileDescriptor &&fd) { _value = fd.release(); }
+
+public:
+ ~OwnedFileDescriptor()
+ {
+ if (_value != -1)
+ {
+ // Close on descturction
+ close(_value);
+ }
+ }
+
+public:
+ int value(void) const { return _value; }
+
+public:
+ int release(void)
+ {
+ auto res = _value;
+ _value = -1;
+ return res;
+ }
+
+private:
+ int _value = -1;
+};
+
+} // namespace
+
+namespace tflchef
+{
+
+std::unique_ptr<RawModel> load_tflite(const std::string &path)
+{
+ OwnedFileDescriptor fd = open(path.c_str(), O_RDONLY);
+
+ if (fd.value() == -1)
+ {
+ // Return nullptr on open failure
+ return nullptr;
+ }
+
+ struct stat st;
+ if (fstat(fd.value(), &st) == -1)
+ {
+ // Return nullptr on fstat failure
+ return nullptr;
+ }
+
+ auto size = st.st_size;
+ auto data = mmap(nullptr, size, PROT_READ, MAP_SHARED, fd.value(), 0);
+
+ if (data == MAP_FAILED)
+ {
+ // Return nullptr on mmap failure
+ return nullptr;
+ }
+
+ return std::unique_ptr<tflchef::RawModel>{new MemoryMappedRawModel(fd.release(), data, size)};
+}
+
+} // namespace tflchef