1 /*
2 * Copyright (C) 2020 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 #include "Callbacks.h"
18
19 #include "Conversions.h"
20 #include "PreparedModel.h"
21 #include "Utils.h"
22
23 #include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
24 #include <android/hardware/neuralnetworks/1.0/IPreparedModelCallback.h>
25 #include <android/hardware/neuralnetworks/1.0/types.h>
26 #include <nnapi/IPreparedModel.h>
27 #include <nnapi/Result.h>
28 #include <nnapi/Types.h>
29 #include <nnapi/hal/CommonUtils.h>
30 #include <nnapi/hal/HandleError.h>
31 #include <nnapi/hal/ProtectCallback.h>
32 #include <nnapi/hal/TransferValue.h>
33
34 #include <utility>
35
36 // See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
37 // lifetimes across processes and for protecting asynchronous calls across HIDL.
38
39 namespace android::hardware::neuralnetworks::V1_0::utils {
40
supportedOperationsCallback(ErrorStatus status,const hidl_vec<bool> & supportedOperations)41 nn::GeneralResult<std::vector<bool>> supportedOperationsCallback(
42 ErrorStatus status, const hidl_vec<bool>& supportedOperations) {
43 HANDLE_HAL_STATUS(status) << "get supported operations failed with " << toString(status);
44 return supportedOperations;
45 }
46
prepareModelCallback(ErrorStatus status,const sp<IPreparedModel> & preparedModel)47 nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
48 ErrorStatus status, const sp<IPreparedModel>& preparedModel) {
49 HANDLE_HAL_STATUS(status) << "model preparation failed with " << toString(status);
50 return NN_TRY(PreparedModel::create(preparedModel));
51 }
52
executionCallback(ErrorStatus status)53 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executionCallback(
54 ErrorStatus status) {
55 HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
56 return {};
57 }
58
notify(ErrorStatus status,const sp<IPreparedModel> & preparedModel)59 Return<void> PreparedModelCallback::notify(ErrorStatus status,
60 const sp<IPreparedModel>& preparedModel) {
61 mData.put(prepareModelCallback(status, preparedModel));
62 return Void();
63 }
64
notifyAsDeadObject()65 void PreparedModelCallback::notifyAsDeadObject() {
66 mData.put(NN_ERROR(nn::ErrorStatus::DEAD_OBJECT) << "Dead object");
67 }
68
get()69 PreparedModelCallback::Data PreparedModelCallback::get() {
70 return mData.take();
71 }
72
73 // ExecutionCallback methods begin here
74
notify(ErrorStatus status)75 Return<void> ExecutionCallback::notify(ErrorStatus status) {
76 mData.put(executionCallback(status));
77 return Void();
78 }
79
notifyAsDeadObject()80 void ExecutionCallback::notifyAsDeadObject() {
81 mData.put(NN_ERROR(nn::ErrorStatus::DEAD_OBJECT) << "Dead object");
82 }
83
get()84 ExecutionCallback::Data ExecutionCallback::get() {
85 return mData.take();
86 }
87
88 } // namespace android::hardware::neuralnetworks::V1_0::utils
89