f624800b84
I was forced to manually do update the following files, because otherwise they would be ignored according .gitignore settings. Probably they should be deleted from repo. Interop/.idea/compiler.xml Interop/.idea/gradle.xml Interop/.idea/libraries/Gradle__org_jetbrains_kotlin_kotlin_runtime_1_0_3.xml Interop/.idea/libraries/Gradle__org_jetbrains_kotlin_kotlin_stdlib_1_0_3.xml Interop/.idea/modules.xml Interop/.idea/modules/Indexer/Indexer.iml Interop/.idea/modules/Runtime/Runtime.iml Interop/.idea/modules/StubGenerator/StubGenerator.iml backend.native/backend.native.iml backend.native/bc.frontend/bc.frontend.iml backend.native/cli.bc/cli.bc.iml backend.native/cli.bc/src/org/jetbrains/kotlin/cli/bc/K2Native.kt backend.native/cli.bc/src/org/jetbrains/kotlin/cli/bc/K2NativeCompilerArguments.kt backend.native/tests/link/lib/foo.kt backend.native/tests/link/lib/foo2.kt backend.native/tests/teamcity-test.property
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1.2 KiB
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.