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/**
* Copyright 2017 The Android Open Source Project
*
* 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 NNAPI_SIMPLE_MODEL_H
#define NNAPI_SIMPLE_MODEL_H
#include "NeuralNetworks.h"
#include <vector>
#define FLOAT_EPISILON (1e-6)
#define TENSOR_SIZE 200
/**
* SimpleModel
* Build up the hardcoded graph of
* ADD_1 ---+
* +--- MUL--->output result
* ADD_2 ---+
*
* Operands are all 2-D TENSOR_FLOAT32 of:
* dimLength x dimLength
* with NO fused_activation operation
*
*/
class SimpleModel {
public:
explicit SimpleModel(size_t size, int protect, int fd, size_t offset);
~SimpleModel();
bool CreateCompiledModel();
bool Compute(float inputValue1, float inputValue2, float *result);
private:
ANeuralNetworksModel *model_;
ANeuralNetworksCompilation *compilation_;
ANeuralNetworksMemory *memoryModel_;
ANeuralNetworksMemory *memoryInput2_;
ANeuralNetworksMemory *memoryOutput_;
uint32_t dimLength_;
uint32_t tensorSize_;
size_t offset_;
std::vector<float> inputTensor1_;
int modelDataFd_;
int inputTensor2Fd_;
int outputTensorFd_;
};
#endif // NNAPI_SIMPLE_MODEL_H
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