# hello_tf_c_api

**Repository Path**: ssmingyun/hello_tf_c_api

## Basic Information

- **Project Name**: hello_tf_c_api
- **Description**: Tensorflow C API的调用示例
- **Primary Language**: C
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2021-04-07
- **Last Updated**: 2021-04-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Example TensorFlow C API

![Example TensorFlow C API logo](logo.png)

Branch | Linux/OSX | Windows | License | Codacy
-------|-----------|---------|---------|-------
master |[![Build Status](https://travis-ci.org/Neargye/hello_tf_c_api.svg?branch=master)](https://travis-ci.org/Neargye/hello_tf_c_api)|[![Build status](https://ci.appveyor.com/api/projects/status/4js5recgpxp53q0v/branch/master?svg=true)](https://ci.appveyor.com/project/Neargye/hello-tf-c-api/branch/master)|[![License](https://img.shields.io/github/license/Neargye/hello_tf_c_api.svg)](LICENSE)|[![Codacy Badge](https://api.codacy.com/project/badge/Grade/65a8401ec7da4ff49a9d4603dfbb600a)](https://www.codacy.com/app/Neargye/hello_tf_c_api?utm_source=github.com&utm_medium=referral&utm_content=Neargye/hello_tf_c_api&utm_campaign=Badge_Grade)

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)

## 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 and 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 "Unix Makefiles" ..
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://github.com/neargye-forks/tensorflow/releases>.

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(<target> <PRIVATE|PUBLIC|INTERFACE> 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)

## Licensed under the [MIT License](LICENSE)