ONE - On-device Neural Engine
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VerifyFlatBuffers.cpp
Go to the documentation of this file.
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/*
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* Copyright (c) 2019 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 "
VerifyFlatBuffers.h
"
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#include <
foder/FileLoader.h
>
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#include <mio/tflite/schema_generated.h>
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int
VerifyFlatbuffers::run
(
const
std::string &model_file)
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{
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foder::FileLoader
fileLoader{model_file};
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std::vector<char> modeldata = fileLoader.
load
();
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const
uint8_t *
data
=
reinterpret_cast<
const
uint8_t *
>
(modeldata.data());
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flatbuffers::Verifier verifier{
data
, modeldata.size()};
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if
(!tflite::VerifyModelBuffer(verifier))
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{
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return
-1;
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}
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return
0;
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}
FileLoader.h
VerifyFlatbuffers::run
int run(const std::string &model_file)
Definition
VerifyFlatBuffers.cpp:22
foder::FileLoader
Definition
FileLoader.h:27
foder::FileLoader::load
DataBuffer load(void) const
Definition
FileLoader.h:39
GenH5RandomInputs.data
data
Definition
GenH5RandomInputs.py:64
VerifyFlatBuffers.h
compiler
tfl-verify
src
VerifyFlatBuffers.cpp
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