ONE - On-device Neural Engine
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ONE - On-device Neural Engine
How to Add a New Operation
How to Build Compiler
How to Build Package
How to Build Runtime with GBS for Tizen/RPi4
How to Build Using Prebuilt Docker Image
How to Build Runtime
How to Contribute
How to Cross-build Runtime for AARCH64
How to Cross-build Runtime for Android
How to Cross-build Runtime for ARM
How To Introduce a New Operation Into Compiler
How To Introduce a New Operation Into Runtime
How to Make an Application with Runtime
How to Remote Debugging with Visual Studio Code
How to Run Package
How to Use API
How to Use NNAPI Binding
How to Use NNFW API
How to Use NNFW PYTHON API
How to Use Specific Backend during Inference
Background
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Training a simple CNN model on MNIST using ONERT
Training MobileNetV2 on ImageNet Dataset using ONERT
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VerifyFlatBuffers.h
Go to the documentation of this file.
1
/*
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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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#ifndef __VERIFY_FLATBUFFERS_H__
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#define __VERIFY_FLATBUFFERS_H__
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#include <ostream>
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#include <string>
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class
VerifyFlatbuffers
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{
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public
:
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VerifyFlatbuffers
() =
default
;
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public
:
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int
run
(
const
std::string &model_file);
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};
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#endif
// __VERIFY_FLATBUFFERS_H__
VerifyFlatbuffers
Definition
VerifyFlatBuffers.h:24
VerifyFlatbuffers::VerifyFlatbuffers
VerifyFlatbuffers()=default
VerifyFlatbuffers::run
int run(const std::string &model_file)
compiler
tfl-verify
src
VerifyFlatBuffers.h
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