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/*
* Copyright (C) 2019 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.
*/
#include <android-base/logging.h>
#include <cstdlib>
#include <optional>
#include <utility>
#include "Converter.h"
#include "Model.pb.h"
#include "NeuralNetworksWrapper.h"
#include "TestHarness.h"
#include "src/libfuzzer/libfuzzer_macro.h"
namespace {
using ::android::nn::fuzz::convertToTestModel;
using ::android_nn_fuzz::Test;
using ::test_helper::TestModel;
using namespace ::android::nn::wrapper;
using namespace test_helper;
OperandType getOperandType(const TestOperand& op) {
auto dims = op.dimensions;
if (op.type == TestOperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL) {
return OperandType(
static_cast<Type>(op.type), dims,
SymmPerChannelQuantParams(op.channelQuant.scales, op.channelQuant.channelDim));
} else {
return OperandType(static_cast<Type>(op.type), dims, op.scale, op.zeroPoint);
}
}
std::optional<Model> CreateModel(const TestModel& testModel) {
Model model;
// Operands.
// TODO(b/148605565): Add control flow support
CHECK_EQ(testModel.referenced.size(), 0u) << "Subgraphs not supported";
for (const auto& operand : testModel.main.operands) {
auto type = getOperandType(operand);
auto index = model.addOperand(&type);
switch (operand.lifetime) {
case TestOperandLifeTime::CONSTANT_COPY:
case TestOperandLifeTime::CONSTANT_REFERENCE:
model.setOperandValue(index, operand.data.get<void>(), operand.data.size());
break;
case TestOperandLifeTime::NO_VALUE:
model.setOperandValue(index, nullptr, 0);
break;
case TestOperandLifeTime::SUBGRAPH: {
CHECK(false);
} break;
case TestOperandLifeTime::SUBGRAPH_INPUT:
case TestOperandLifeTime::SUBGRAPH_OUTPUT:
case TestOperandLifeTime::TEMPORARY_VARIABLE:
// Nothing to do here.
break;
}
if (!model.isValid()) return std::nullopt;
}
// Operations.
CHECK_EQ(testModel.referenced.size(), 0u) << "Subgraphs not supported";
for (const auto& operation : testModel.main.operations) {
model.addOperation(static_cast<int>(operation.type), operation.inputs, operation.outputs);
if (!model.isValid()) return std::nullopt;
}
// Inputs and outputs.
model.identifyInputsAndOutputs(testModel.main.inputIndexes, testModel.main.outputIndexes);
if (!model.isValid()) return std::nullopt;
// Relaxed computation.
model.relaxComputationFloat32toFloat16(testModel.isRelaxed);
if (!model.isValid()) return std::nullopt;
if (model.finish() != Result::NO_ERROR) {
return std::nullopt;
}
return model;
}
std::optional<Compilation> CreateCompilation(const Model& model) {
Compilation compilation(&model);
if (compilation.finish() != Result::NO_ERROR) {
return std::nullopt;
}
return compilation;
}
std::optional<Execution> CreateExecution(const Compilation& compilation,
const TestModel& testModel) {
Execution execution(&compilation);
// Model inputs.
for (uint32_t i = 0; i < testModel.main.inputIndexes.size(); i++) {
const auto& operand = testModel.main.operands[testModel.main.inputIndexes[i]];
if (execution.setInput(i, operand.data.get<void>(), operand.data.size()) !=
Result::NO_ERROR) {
return std::nullopt;
}
}
// Model outputs.
for (uint32_t i = 0; i < testModel.main.outputIndexes.size(); i++) {
const auto& operand = testModel.main.operands[testModel.main.outputIndexes[i]];
if (execution.setOutput(i, const_cast<void*>(operand.data.get<void>()),
operand.data.size()) != Result::NO_ERROR) {
return std::nullopt;
}
}
return execution;
}
void runTest(const TestModel& testModel) {
// set up model
auto model = CreateModel(testModel);
if (!model.has_value()) {
return;
}
// set up compilation
auto compilation = CreateCompilation(*model);
if (!compilation.has_value()) {
return;
}
// set up execution
auto execution = CreateExecution(*compilation, testModel);
if (!execution.has_value()) {
return;
}
// perform execution
execution->compute();
}
} // anonymous namespace
DEFINE_PROTO_FUZZER(const Test& model) {
const TestModel testModel = convertToTestModel(model);
runTest(testModel);
}
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