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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-04 18:09:24 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-03-04 18:09:24 +0900 |
commit | 302e6564a7a76109e1178207e44e45a58631c477 (patch) | |
tree | 6cc4bd95e5e438331fc2c53234af4ed0e0f3bc20 /docs/howto.md | |
parent | bd11b24234d7d43dfe05a81c520aa01ffad06e42 (diff) | |
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Imported Upstream version 1.1.0upstream/1.1.0submit/tizen/20200304.094649submit/tizen/20200304.093946submit/tizen/20200304.092919accepted/tizen/unified/20200305.051107
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diff --git a/docs/howto.md b/docs/howto.md deleted file mode 100644 index 866f56115..000000000 --- a/docs/howto.md +++ /dev/null @@ -1,36 +0,0 @@ -## Build Requires - -If you are building this project, then the following modules must be installed on your system: - -- CMake -- Boost C++ libraries - -``` -$ sudo apt-get install cmake libboost-all-dev -``` - -## How to use (simple) NNAPI Binding - -This repo provides a T/F Lite Model loader(named ``tflite_run``), and simple NNAPI binding. - -Let's type the following commands, and see what happens! -``` -$ make install -$ USE_NNAPI=1 LD_LIBRARY_PATH="$(pwd)/Product/obj/runtimes/logging:$(pwd)/Product/out/lib" Product/out/bin/tflite_run [T/F Lite Flatbuffer Model Path] -``` - -## How to get pre-built T/F Lite Flatbuffer models? -Google provides several pre-built T/F Lite models. Please check [this article](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/g3doc/models.md) - - -## Build How-to -- [Cross building for ARM](howto/CrossBuildForArm.md) -- [Cross building for AARCH64](howto/CrossBuildForAarch64.md) -- [Build using prebuilt docker image](howto/HowToUseDockerImage.md) - - -## Other how-to documents -- [Building TensorFlow and TOCO from source](howto/BuildTFfromSource.md) -- [How to setup XU3 with Ubuntu 16.04](howto/device/xu3_ubuntu.md) -- [How to setup XU4 with Ubuntu 16.04](howto/device/xu4_ubuntu.md) -- [How to add unittest using gtest](howto/HowToAddUnittest.md) |