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 <android-base/logging.h>
20 #include <hidl/LegacySupport.h>
21
22 #include <thread>
23 #include <vector>
24
25 #include "HalInterfaces.h"
26 #include "NeuralNetworksOEM.h"
27 #include "SampleDriverPartial.h"
28 #include "Utils.h"
29 #include "ValidateHal.h"
30
31 namespace android {
32 namespace nn {
33 namespace sample_driver {
34
35 using namespace hal;
36
37 class SampleDriverMinimal : public SampleDriverPartial {
38 public:
SampleDriverMinimal()39 SampleDriverMinimal() : SampleDriverPartial("nnapi-sample_minimal") {}
40 Return<void> getCapabilities_1_3(getCapabilities_1_3_cb cb) override;
41
42 private:
43 std::vector<bool> getSupportedOperationsImpl(const V1_3::Model& model) const override;
44 };
45
getCapabilities_1_3(getCapabilities_1_3_cb cb)46 Return<void> SampleDriverMinimal::getCapabilities_1_3(getCapabilities_1_3_cb cb) {
47 android::nn::initVLogMask();
48 VLOG(DRIVER) << "getCapabilities()";
49
50 Capabilities capabilities = {
51 .relaxedFloat32toFloat16PerformanceScalar = {.execTime = 0.4f, .powerUsage = 0.5f},
52 .relaxedFloat32toFloat16PerformanceTensor = {.execTime = 0.4f, .powerUsage = 0.5f},
53 .operandPerformance = nonExtensionOperandPerformance<HalVersion::V1_3>({1.0f, 1.0f}),
54 .ifPerformance = {.execTime = 1.0f, .powerUsage = 1.0f},
55 .whilePerformance = {.execTime = 1.0f, .powerUsage = 1.0f}};
56 update(&capabilities.operandPerformance, OperandType::TENSOR_FLOAT32,
57 {.execTime = 0.4f, .powerUsage = 0.5f});
58 update(&capabilities.operandPerformance, OperandType::FLOAT32,
59 {.execTime = 0.4f, .powerUsage = 0.5f});
60
61 cb(ErrorStatus::NONE, capabilities);
62 return Void();
63 }
64
getSupportedOperationsImpl(const V1_3::Model & model) const65 std::vector<bool> SampleDriverMinimal::getSupportedOperationsImpl(const V1_3::Model& model) const {
66 const size_t count = model.main.operations.size();
67 std::vector<bool> supported(count);
68 // Simulate supporting just a few ops
69 for (size_t i = 0; i < count; i++) {
70 supported[i] = false;
71 const Operation& operation = model.main.operations[i];
72 switch (operation.type) {
73 case OperationType::ADD:
74 case OperationType::CONCATENATION:
75 case OperationType::CONV_2D: {
76 const Operand& firstOperand = model.main.operands[operation.inputs[0]];
77 if (firstOperand.type == OperandType::TENSOR_FLOAT32) {
78 supported[i] = true;
79 }
80 break;
81 }
82 default:
83 break;
84 }
85 }
86 return supported;
87 }
88
89 } // namespace sample_driver
90 } // namespace nn
91 } // namespace android
92
93 using android::sp;
94 using android::nn::sample_driver::SampleDriverMinimal;
95
main()96 int main() {
97 sp<SampleDriverMinimal> driver(new SampleDriverMinimal());
98 return driver->run();
99 }
100