ONE - On-device Neural Engine
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Entry.cpp
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/*
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* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "
Frontend.h
"
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#include "
RawModelLoader.h
"
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#include <
cmdline/View.h
>
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#include <memory>
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#include <fstream>
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#include <cassert>
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using
std::make_unique;
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extern
"C"
std::unique_ptr<enco::Frontend>
make_frontend
(
const
cmdline::View
&
cmdline
)
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{
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assert(
cmdline
.size() == 1);
// tflite file name
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auto
model =
load_from
(
cmdline
.at(0));
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return
make_unique<Frontend>(std::move(model));
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}
load_from
std::unique_ptr< RawModel > load_from(const std::string &path)
Load TensorFlow Lite model (as a RawModel) from a given path.
Definition
RawModelLoader.cpp:62
RawModelLoader.h
View.h
make_frontend
std::unique_ptr< enco::Frontend > make_frontend(const cmdline::View &cmdline)
Definition
Entry.cpp:28
cmdline
Definition
View.h:23
Frontend.h
cmdline::View
Definition
View.h:26
compiler
enco
frontend
tflite
src
Entry.cpp
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