1 /*
2 * Copyright (C) 2021 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 <android-base/logging.h>
20 #include <android/binder_auto_utils.h>
21
22 #include <memory>
23 #include <thread>
24 #include <vector>
25
26 #include "AidlHalUtils.h"
27 #include "SampleDriverPartial.h"
28
29 namespace android {
30 namespace nn {
31 namespace sample_driver {
32
33 class SampleDriverMinimal : public SampleDriverPartial {
34 public:
SampleDriverMinimal()35 SampleDriverMinimal() : SampleDriverPartial("nnapi-sample_minimal") {}
36 ndk::ScopedAStatus getCapabilities(aidl_hal::Capabilities* capabilities) override;
37
38 private:
39 std::vector<bool> getSupportedOperationsImpl(const Model& model) const override;
40 };
41
getCapabilities(aidl_hal::Capabilities * capabilities)42 ndk::ScopedAStatus SampleDriverMinimal::getCapabilities(aidl_hal::Capabilities* capabilities) {
43 android::nn::initVLogMask();
44 VLOG(DRIVER) << "getCapabilities()";
45
46 *capabilities = {
47 .relaxedFloat32toFloat16PerformanceScalar = {.execTime = 0.4f, .powerUsage = 0.5f},
48 .relaxedFloat32toFloat16PerformanceTensor = {.execTime = 0.4f, .powerUsage = 0.5f},
49 .operandPerformance = nonExtensionOperandPerformance({1.0f, 1.0f}),
50 .ifPerformance = {.execTime = 1.0f, .powerUsage = 1.0f},
51 .whilePerformance = {.execTime = 1.0f, .powerUsage = 1.0f}};
52 update(&capabilities->operandPerformance, aidl_hal::OperandType::TENSOR_FLOAT32,
53 {.execTime = 0.4f, .powerUsage = 0.5f});
54 update(&capabilities->operandPerformance, aidl_hal::OperandType::FLOAT32,
55 {.execTime = 0.4f, .powerUsage = 0.5f});
56
57 return ndk::ScopedAStatus::ok();
58 }
59
getSupportedOperationsImpl(const Model & model) const60 std::vector<bool> SampleDriverMinimal::getSupportedOperationsImpl(const Model& model) const {
61 const size_t count = model.main.operations.size();
62 std::vector<bool> supported(count);
63 // Simulate supporting just a few ops
64 for (size_t i = 0; i < count; i++) {
65 supported[i] = false;
66 const Operation& operation = model.main.operations[i];
67 switch (operation.type) {
68 case OperationType::ADD:
69 case OperationType::CONCATENATION:
70 case OperationType::CONV_2D: {
71 const Operand& firstOperand = model.main.operands[operation.inputs[0]];
72 if (firstOperand.type == OperandType::TENSOR_FLOAT32) {
73 supported[i] = true;
74 }
75 break;
76 }
77 default:
78 break;
79 }
80 }
81 return supported;
82 }
83
84 } // namespace sample_driver
85 } // namespace nn
86 } // namespace android
87
88 using android::nn::sample_driver::SampleDriverMinimal;
89
main()90 int main() {
91 std::shared_ptr<SampleDriverMinimal> driver = ndk::SharedRefBase::make<SampleDriverMinimal>();
92 return driver->run();
93 }
94