Files

TensorFlow demo

Small Hello World calculation on the TensorFlow backend, arranging simple operations into a graph and running it on a session. Like other TensorFlow clients (e. g. for Python), this example is built on top of the TensorFlow C API, showing how a TensorFlow client in Kotlin/Native could look like.

Installation

./downloadTensorflow.sh

will install TensorFlow for C into $HOME/.konan/third-party/tensorflow (if not yet done). One may override the location of third-party/tensorflow by setting the KONAN_DATA_DIR environment variable.

To build use ../gradlew assemble.

Then run

../gradlew runReleaseExecutableTensorflow

Alternatively you can run the artifact directly through

./build/bin/tensorflow/main/release/executable/tensorflow.kexe

You may need to specify LD_LIBRARY_PATH or DYLD_LIBRARY_PATH to $HOME/.konan/third-party/tensorflow/lib if the TensorFlow dynamic library cannot be found.