The compiler: gcc -I/usr/local/include -L/usr/local/lib hello_tf.c -ltensorflow -o hello_tf. If extracted to /usr/local, explicitly pass the library location to If the program doesn't build, make sure that gcc can access the TensorFlow C Success: The TensorFlow C library is configured. Hello from TensorFlow C library version 2.11.0 Printf('Hello from TensorFlow C library version %s ', TF_Version()) Ĭompile the example program to create an executable, then run: gcc hello_tf.c -ltensorflow -o hello_tf. With the TensorFlow C library installed, create an example program with theįollowing source code ( hello_tf.c): %%writefile hello_tf.c ~/mydir, then configure the linker environmental variables:Įxport LIBRARY_PATH=$LIBRARY_PATH:~/mydir/libĮxport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/mydir/libĮxport DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:~/mydir/lib If you extract the TensorFlow C library to a non-system directory, such as Such as /usr/local, configure the linker with ldconfig: sudo ldconfig /usr/local/lib On Linux/macOS, if you extract the TensorFlow C library to a system directory, On Linux and macOS, you may want to extract to /usr/local/lib: FILENAME=libtensorflow-cpu-linux-x86_64-2.11.0.tar.gz wget -q -no-check-certificate $ Linker

Your C program and the shared libraries to link against. macOS, Version 10.12.6 (Sierra) or higherĬaution: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows.Įxtract the downloaded archive, which contains the header files to include in.TensorFlow for C is supported on the following systems: so files versioned to the current date copied into theĭirectory with the artifacts. Libtensorflow packages are built nightly and uploaded to GCS for all supportedĪnd are indexed by operating system and date built. TensorFlow provides a C API that can be used to buildĪnd designed for simplicity and uniformity rather than convenience.

StreamCapture2 2.12.0 instal