runtime/test/android_fuzzing/Converter.cpp

/*
 * 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 "Converter.h"

#include <algorithm>
#include <random>
#include <utility>
#include <vector>

namespace android::nn::fuzz {
namespace {

using namespace test_helper;
using namespace android_nn_fuzz;

constexpr uint32_t kMaxSize = 65536;

TestOperandType convert(OperandType type) {
    return static_cast<TestOperandType>(type);
}

TestOperationType convert(OperationType type) {
    return static_cast<TestOperationType>(type);
}

TestOperandLifeTime convert(OperandLifeTime lifetime) {
    return static_cast<TestOperandLifeTime>(lifetime);
}

std::vector<float> convert(const Scales& scales) {
    const auto& repeatedScale = scales.scale();
    return std::vector<float>(repeatedScale.begin(), repeatedScale.end());
}

TestSymmPerChannelQuantParams convert(const SymmPerChannelQuantParams& params) {
    std::vector<float> scales = convert(params.scales());
    const uint32_t channelDim = params.channel_dim();
    return {.scales = std::move(scales), .channelDim = channelDim};
}

std::vector<uint32_t> convert(const Dimensions& dimensions) {
    const auto& repeatedDimension = dimensions.dimension();
    return std::vector<uint32_t>(repeatedDimension.begin(), repeatedDimension.end());
}

TestBuffer convert(bool makeEmpty, const Buffer& buffer) {
    if (makeEmpty) {
        return TestBuffer();
    }
    const uint32_t randomSeed = buffer.random_seed();
    std::default_random_engine generator{randomSeed};
    std::uniform_int_distribution<uint32_t> dist{0, kMaxSize};
    const uint32_t size = dist(generator);
    return TestBuffer::createFromRng<uint32_t>(size, &generator);
}

TestOperand convert(const Operand& operand) {
    const TestOperandType type = convert(operand.type());
    std::vector<uint32_t> dimensions = convert(operand.dimensions());
    const float scale = operand.scale();
    const int32_t zeroPoint = operand.zero_point();
    const TestOperandLifeTime lifetime = convert(operand.lifetime());
    auto channelQuant = convert(operand.channel_quant());
    const bool isIgnored = false;
    const bool makeEmpty = (lifetime == TestOperandLifeTime::NO_VALUE ||
                            lifetime == TestOperandLifeTime::TEMPORARY_VARIABLE);
    TestBuffer data = convert(makeEmpty, operand.data());
    return {.type = type,
            .dimensions = std::move(dimensions),
            .numberOfConsumers = 0,
            .scale = scale,
            .zeroPoint = zeroPoint,
            .lifetime = lifetime,
            .channelQuant = std::move(channelQuant),
            .isIgnored = isIgnored,
            .data = std::move(data)};
}

std::vector<TestOperand> convert(const Operands& operands) {
    std::vector<TestOperand> testOperands;
    testOperands.reserve(operands.operand_size());
    const auto& repeatedOperand = operands.operand();
    std::transform(repeatedOperand.begin(), repeatedOperand.end(), std::back_inserter(testOperands),
                   [](const auto& operand) { return convert(operand); });
    return testOperands;
}

std::vector<uint32_t> convert(const Indexes& indexes) {
    const auto& repeatedIndex = indexes.index();
    return std::vector<uint32_t>(repeatedIndex.begin(), repeatedIndex.end());
}

TestOperation convert(const Operation& operation) {
    const TestOperationType type = convert(operation.type());
    std::vector<uint32_t> inputs = convert(operation.inputs());
    std::vector<uint32_t> outputs = convert(operation.outputs());
    return {.type = type, .inputs = std::move(inputs), .outputs = std::move(outputs)};
}

std::vector<TestOperation> convert(const Operations& operations) {
    std::vector<TestOperation> testOperations;
    testOperations.reserve(operations.operation_size());
    const auto& repeatedOperation = operations.operation();
    std::transform(repeatedOperation.begin(), repeatedOperation.end(),
                   std::back_inserter(testOperations),
                   [](const auto& operation) { return convert(operation); });
    return testOperations;
}

TestModel convert(const Model& model) {
    std::vector<TestOperand> operands = convert(model.operands());
    std::vector<TestOperation> operations = convert(model.operations());
    std::vector<uint32_t> inputIndexes = convert(model.input_indexes());
    std::vector<uint32_t> outputIndexes = convert(model.output_indexes());
    const bool isRelaxed = model.is_relaxed();
    return {.operands = std::move(operands),
            .operations = std::move(operations),
            .inputIndexes = std::move(inputIndexes),
            .outputIndexes = std::move(outputIndexes),
            .isRelaxed = isRelaxed};
}

}  // anonymous namespace

TestModel convertToTestModel(const Test& model) {
    return convert(model.model());
}

}  // namespace android::nn::fuzz