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/*
* Copyright (c) 2019-2022 Arm Limited. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* 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
*
* 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.
*/
#pragma once
#include <array>
#include <queue>
#include <stdlib.h>
#include <string>
#include <vector>
struct TfLiteTensor;
namespace tflite {
// Forward declarations
class MicroInterpreter;
class MicroResourceVariables;
} // namespace tflite
namespace InferenceProcess {
struct DataPtr {
void *data;
size_t size;
DataPtr(void *data = nullptr, size_t size = 0);
void invalidate();
void clean();
char *begin() const;
char *end() const;
};
struct InferenceJob {
std::string name;
DataPtr networkModel;
std::vector<DataPtr> input;
std::vector<DataPtr> output;
std::vector<DataPtr> expectedOutput;
uint64_t cpuCycles{0};
size_t numBytesToPrint;
void *externalContext;
InferenceJob();
InferenceJob(const std::string &name,
const DataPtr &networkModel,
const std::vector<DataPtr> &input,
const std::vector<DataPtr> &output,
const std::vector<DataPtr> &expectedOutput,
const size_t numBytesToPrint = 0,
void *externalContext = nullptr);
void invalidate();
void clean();
};
class InferenceProcess {
public:
InferenceProcess(uint8_t *_tensorArena, size_t _tensorArenaSize);
bool runJob(InferenceJob &job);
private:
static bool copyIfm(InferenceJob &job, tflite::MicroInterpreter &interpreter);
static bool copyOfm(InferenceJob &job, tflite::MicroInterpreter &interpreter);
static bool compareOfm(InferenceJob &job, tflite::MicroInterpreter &interpreter);
static void printJob(InferenceJob &job, tflite::MicroInterpreter &interpreter);
static void printOutputTensor(TfLiteTensor *output, size_t bytesToPrint);
static void tfluDebugLog(const char *s);
uint8_t *tensorArena;
const size_t tensorArenaSize;
};
} // namespace InferenceProcess
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