ONE - On-device Neural Engine
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Backend.cpp
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1/*
2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
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
19
20namespace nnkit
21{
22namespace support
23{
24namespace onnx
25{
26
27void Backend::prepare(const std::function<void(nnkit::TensorContext &)> &f)
28{
29 // Prepare input and output tensors
30 _runner.prepareInputs();
31 _runner.prepareOutputs();
32
33 TensorContext ctx(_runner.inputs());
34 f(ctx);
35}
36
37void Backend::run(void) { _runner.run(); }
38
39void Backend::teardown(const std::function<void(nnkit::TensorContext &)> &f)
40{
41 TensorContext ctx(_runner.outputs());
42 f(ctx);
43}
44
45} // namespace onnx
46} // namespace support
47} // namespace nnkit
void prepare(const std::function< void(nnkit::TensorContext &)> &f) override
Definition Backend.cpp:27
void run(void) override
Definition Backend.cpp:37
void teardown(const std::function< void(nnkit::TensorContext &)> &f) override
Definition Backend.cpp:39
TensorSet & outputs(void)
Definition Runner.h:44
TensorSet & inputs(void)
Definition Runner.h:43