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TensorFlow in Go

Construct and execute TensorFlow graphs in Go.


WARNING: The API defined in this package is not stable and can change without notice. The same goes for the package path: (github.com/tensorflow/tensorflow/tensorflow/go).

Building the TensorFlow C library from source

If the "Quickstart" instructions above do not work (perhaps the release archives are not available for your operating system or architecture, or you're using a different version of CUDA/cuDNN), then the TensorFlow C library must be built from source.



  1. Download the source code

    go get -d github.com/tensorflow/tensorflow/tensorflow/go
  2. Build the TensorFlow C library:

    cd ${GOPATH}/src/github.com/tensorflow/tensorflow
    bazel build -c opt //tensorflow:libtensorflow.so

    This can take a while (tens of minutes, more if also building for GPU).

  3. Make libtensorflow.so and libtensorflow_framework.so available to the linker. This can be done by either:

    a. Copying it to a system location, e.g.,

    sudo cp ${GOPATH}/src/github.com/tensorflow/tensorflow/bazel-bin/tensorflow/libtensorflow.so /usr/local/lib
    sudo cp ${GOPATH}/src/github.com/tensorflow/tensorflow/bazel-bin/tensorflow/libtensorflow_framework.so /usr/local/lib


    b. Setting environment variables:

    export LIBRARY_PATH=${GOPATH}/src/github.com/tensorflow/tensorflow/bazel-bin/tensorflow
    # Linux
    export LD_LIBRARY_PATH=${GOPATH}/src/github.com/tensorflow/tensorflow/bazel-bin/tensorflow
    # OS X
    export DYLD_LIBRARY_PATH=${GOPATH}/src/github.com/tensorflow/tensorflow/bazel-bin/tensorflow
  4. Build and test:

    go generate github.com/tensorflow/tensorflow/tensorflow/go/op
    go test github.com/tensorflow/tensorflow/tensorflow/go

Generate wrapper functions for ops

Go functions corresponding to TensorFlow operations are generated in op/wrappers.go. To regenerate them:


go generate github.com/tensorflow/tensorflow/tensorflow/go/op


Use Stack Overflow and/or GitHub issues.


Contributions are welcome. If making any signification changes, probably best to discuss on a GitHub issue before investing too much time. GitHub pull requests are used for contributions.