1/*
2 * Copyright (C) 2017 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 *      http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#define LOG_TAG "SampleDriverMinimal"
18
19#include "SampleDriver.h"
20
21#include "HalInterfaces.h"
22#include "NeuralNetworksOEM.h"
23#include "Utils.h"
24#include "ValidateHal.h"
25
26#include <android-base/logging.h>
27#include <hidl/LegacySupport.h>
28#include <thread>
29
30namespace android {
31namespace nn {
32namespace sample_driver {
33
34class SampleDriverMinimal : public SampleDriver {
35public:
36    SampleDriverMinimal() : SampleDriver("sample-minimal") {}
37    Return<void> getCapabilities_1_1(getCapabilities_1_1_cb cb) override;
38    Return<void> getSupportedOperations_1_1(const V1_1::Model& model,
39                                            getSupportedOperations_1_1_cb cb) override;
40};
41
42Return<void> SampleDriverMinimal::getCapabilities_1_1(getCapabilities_1_1_cb cb) {
43    android::nn::initVLogMask();
44    VLOG(DRIVER) << "getCapabilities()";
45    Capabilities capabilities = {.float32Performance = {.execTime = 0.4f, .powerUsage = 0.5f},
46                                 .quantized8Performance = {.execTime = 1.0f, .powerUsage = 1.0f},
47                                 .relaxedFloat32toFloat16Performance =
48                                     {.execTime = 0.4f, .powerUsage = 0.5f}};
49    cb(ErrorStatus::NONE, capabilities);
50    return Void();
51}
52
53Return<void> SampleDriverMinimal::getSupportedOperations_1_1(const V1_1::Model& model,
54                                                             getSupportedOperations_1_1_cb cb) {
55    VLOG(DRIVER) << "getSupportedOperations()";
56    if (validateModel(model)) {
57        const size_t count = model.operations.size();
58        std::vector<bool> supported(count);
59        // Simulate supporting just a few ops
60        for (size_t i = 0; i < count; i++) {
61            supported[i] = false;
62            const Operation& operation = model.operations[i];
63            switch (operation.type) {
64                case OperationType::ADD:
65                case OperationType::CONCATENATION:
66                case OperationType::CONV_2D: {
67                    const Operand& firstOperand = model.operands[operation.inputs[0]];
68                    if (firstOperand.type == OperandType::TENSOR_FLOAT32) {
69                        supported[i] = true;
70                    }
71                    break;
72                }
73                default:
74                    break;
75            }
76        }
77        cb(ErrorStatus::NONE, supported);
78    } else {
79        std::vector<bool> supported;
80        cb(ErrorStatus::INVALID_ARGUMENT, supported);
81    }
82    return Void();
83}
84
85} // namespace sample_driver
86} // namespace nn
87} // namespace android
88
89using android::nn::sample_driver::SampleDriverMinimal;
90using android::sp;
91
92int main() {
93    sp<SampleDriverMinimal> driver(new SampleDriverMinimal());
94    return driver->run();
95}
96