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TensorFlow provides a C API that can be used to build . The API is defined in and designed for simplicity and uniformity rather than convenience.
TensorFlow for C is supported on the following systems:
| TensorFlow C library | URL |
|---|---|
| Linux | |
| Linux CPU only | |
| Linux GPU support | |
| macOS | |
| macOS CPU only | |
| Windows | |
| Windows CPU only | |
| Windows GPU only | |
Extract the downloaded archive, which contains the header files to include in your C program and the shared libraries to link against.
On Linux and macOS, you may want to extract to /usr/local/lib:
sudo tar -C /usr/local -xzf (downloaded file)
On Linux/macOS, if you extract the TensorFlow C library to a system directory, such as /usr/local, configure the linker with ldconfig:
sudo ldconfig
If you extract the TensorFlow C library to a non-system directory, such as ~/mydir, then configure the linker environmental variables:
export LIBRARY_PATH=$LIBRARY_PATH:~/mydir/libexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/mydir/lib
With the TensorFlow C library installed, create an example program with the following source code (hello_tf.c):
#include#include int main() { printf("Hello from TensorFlow C library version %s\n", TF_Version()); return 0;}
Compile the example program to create an executable, then run:
gcc hello_tf.c -ltensorflow -o hello_tf./hello_tf
The command outputs: Hello from TensorFlow C library version number
Success: The TensorFlow C library is configured.
If the program doesn't build, make sure that gcc can access the TensorFlow C library. If extracted to /usr/local, explicitly pass the library location to the compiler:
gcc -I/usr/local/include -L/usr/local/lib hello_tf.c -ltensorflow -o hello_tf
TensorFlow is open source. Read to build TensorFlow's C library from source code.
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