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https://github.com/neargye/hello_tf_c_api
Neural Network TensorFlow C API
https://github.com/neargye/hello_tf_c_api
api c cpp deep-learning deep-neural-networks machine-learning neural-network tensorflow
Last synced: 4 days ago
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Neural Network TensorFlow C API
- Host: GitHub
- URL: https://github.com/neargye/hello_tf_c_api
- Owner: Neargye
- License: mit
- Created: 2018-05-08T13:41:02.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-05-15T21:11:12.000Z (7 months ago)
- Last Synced: 2024-12-14T05:06:36.477Z (11 days ago)
- Topics: api, c, cpp, deep-learning, deep-neural-networks, machine-learning, neural-network, tensorflow
- Language: C++
- Homepage:
- Size: 14 MB
- Stars: 467
- Watchers: 31
- Forks: 134
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Example TensorFlow C API
Example how to run TensorFlow lib C API on Windows, Linux and macOS(Darwin).
## [Example](src/)
* [Hello TF](src/hello_tf.cpp)
* [Load graph](src/load_graph.cpp)
* [Create Tensor](src/create_tensor.cpp)
* [Allocate Tensor](src/allocate_tensor.cpp)
* [Run session](src/session_run.cpp)
* [Interface](src/interface.cpp)
* [Tensor Info](src/tensor_info.cpp)
* [Graph Info](src/graph_info.cpp)
* [Image processing](https://github.com/Xonxt/hello_tf_c_api/blob/master/src/image_example.cpp)
## Build example
### Windows
```text
git clone --depth 1 https://github.com/Neargye/hello_tf_c_api
cd hello_tf_c_api
mkdir build
cd build
cmake -G "Visual Studio 15 2017" -A x64 ..
cmake --build . --config Debug
```
### Linux
```text
git clone --depth 1 https://github.com/Neargye/hello_tf_c_api
cd hello_tf_c_api
mkdir build
cd build
cmake -G "Unix Makefiles" ..
cmake --build .
```
### macOS(Darwin)
```text
git clone --depth 1 https://github.com/Neargye/hello_tf_c_api
cd hello_tf_c_api
mkdir build
cd build
cmake -G "XCode" ..
cmake --build .
```
### Remarks
* After the build, you can find the TensorFlow lib in the folder hello_tf_c_api/tensorflow/lib, and header in hello_tf_c_api/tensorflow/include.
* The tensorflow in the repository is compiled in x64 mode. Make sure that project target 64-bit platforms.
* Make sure that the tensorflow lib is in Output Directory or either in the directory contained by the %PATH% environment variable.
## Get tensorflow lib
For x64 CPU, you can download the tensorflow.so, tensorflow.dll and tensorflow.lib from https://www.tensorflow.org/install/lang_c.
Or build lib which version you need from the sources, with CPU or GPU support.
### Link tensorflow lib
#### CMakeLists.txt
```text
link_directories(yourpath/to/tensorflow) # path to tensorflow lib
... # other
target_link_libraries( tensorflow)
```
#### Visual Studio
"Project"->"Properties"->Configuration Properties"->"Linker"->"Additional Dependencies" and add path to your tensorflow.lib as a next line.
Make sure that the tensorflow.dll is in Output Directory (by default, this is Debug\Release under your project's folder) or either in the directory contained by the %PATH% environment variable.
### [Here’s an example how prepare models](doc/prepare_models.md)
To generated the graph.pb file need takes a graph definition and a set of checkpoints and freezes them together into a single file.
### [Here’s an example how create tensorflow.lib file from tensorflow.dll for windows](doc/create_lib_file_from_dll_for_windows.md)
### __Few articles with details__
* https://www.tensorflow.org/install/lang_c
* https://medium.com/@vladislavsd/undocumented-tensorflow-c-api-b527c0b4ef6
* https://medium.com/analytics-vidhya/deploying-tensorflow-2-1-as-c-c-executable-1d090845055c
## Licensed under the [MIT License](LICENSE)