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
30 namespace android {
31 namespace nn {
32 namespace sample_driver {
33
34 class SampleDriverMinimal : public SampleDriver {
35 public:
SampleDriverMinimal()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
getCapabilities_1_1(getCapabilities_1_1_cb cb)42 Return<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
getSupportedOperations_1_1(const V1_1::Model & model,getSupportedOperations_1_1_cb cb)53 Return<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
89 using android::nn::sample_driver::SampleDriverMinimal;
90 using android::sp;
91
main()92 int main() {
93 sp<SampleDriverMinimal> driver(new SampleDriverMinimal());
94 return driver->run();
95 }
96