1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
/*
* Copyright (C) 2020 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_PREPARED_MODEL_H
#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_PREPARED_MODEL_H
#include "nnapi/hal/Adapter.h"
#include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
#include <android/hardware/neuralnetworks/1.2/IBurstCallback.h>
#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <android/hardware/neuralnetworks/1.3/IExecutionCallback.h>
#include <android/hardware/neuralnetworks/1.3/IPreparedModel.h>
#include <android/hardware/neuralnetworks/1.3/types.h>
#include <nnapi/IPreparedModel.h>
#include <nnapi/Types.h>
#include <memory>
// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
// lifetimes across processes and for protecting asynchronous calls across HIDL.
namespace android::hardware::neuralnetworks::adapter {
// Class that adapts nn::IPreparedModel to V1_3::IPreparedModel.
class PreparedModel final : public V1_3::IPreparedModel {
public:
explicit PreparedModel(nn::SharedPreparedModel preparedModel);
Return<V1_0::ErrorStatus> execute(const V1_0::Request& request,
const sp<V1_0::IExecutionCallback>& callback) override;
Return<V1_0::ErrorStatus> execute_1_2(const V1_0::Request& request, V1_2::MeasureTiming measure,
const sp<V1_2::IExecutionCallback>& callback) override;
Return<V1_3::ErrorStatus> execute_1_3(const V1_3::Request& request, V1_2::MeasureTiming measure,
const V1_3::OptionalTimePoint& deadline,
const V1_3::OptionalTimeoutDuration& loopTimeoutDuration,
const sp<V1_3::IExecutionCallback>& callback) override;
Return<void> executeSynchronously(const V1_0::Request& request, V1_2::MeasureTiming measure,
executeSynchronously_cb cb) override;
Return<void> executeSynchronously_1_3(const V1_3::Request& request, V1_2::MeasureTiming measure,
const V1_3::OptionalTimePoint& deadline,
const V1_3::OptionalTimeoutDuration& loopTimeoutDuration,
executeSynchronously_1_3_cb cb) override;
Return<void> configureExecutionBurst(
const sp<V1_2::IBurstCallback>& callback,
const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel,
const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel,
configureExecutionBurst_cb cb) override;
Return<void> executeFenced(const V1_3::Request& request, const hidl_vec<hidl_handle>& waitFor,
V1_2::MeasureTiming measure, const V1_3::OptionalTimePoint& deadline,
const V1_3::OptionalTimeoutDuration& loopTimeoutDuration,
const V1_3::OptionalTimeoutDuration& duration,
executeFenced_cb callback) override;
nn::SharedPreparedModel getUnderlyingPreparedModel() const;
private:
const nn::SharedPreparedModel kPreparedModel;
};
} // namespace android::hardware::neuralnetworks::adapter
#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_PREPARED_MODEL_H
|
