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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 awkward package path (
github.com/tensorflow/tensorflow/tensorflow/go).
Download and extract the TensorFlow C library, preferably into/usr/local.
GPU-enabled versions require CUDA 8.0 and cuDNN 5.1. For other versions, the TensorFlow C library will have to be built from source (see below).
The following shell snippet downloads and extracts into/usr/local:
TF_TYPE="cpu" # Set to "gpu" for GPU support
curl -L
"https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.0.0.tar.gz" |
sudo tar -C /usr/local -xz
go
getthis package (and run tests):
go get github.com/tensorflow/tensorflow/tensorflow/go
go test github.com/tensorflow/tensorflow/tensorflow/go
Done!
/usr/localThe TensorFlow C library (libtensorflow.so)
needs to be available at build time (e.g.,go
build) and run time (go
testor executing binaries). If the library has not been extracted into/usr/local,
then it needs to be made available through theLIBRARY_PATHenvironment
variable at build time and theLD_LIBRARY_PATHenvironment
variable (DYLD_LIBRARY_PATHon
OS X) at run time.
For example, if the TensorFlow C library was extracted into/dir,
then:
export LIBRARY_PATH=/dir/lib
export LD_LIBRARY_PATH=/dir/lib # For Linux
export DYLD_LIBRARY_PATH=/dir/lib # For OS X
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.
sh
# Linux sudoapt-get install python swig python-numpy # OS X with homebrew brew installswigDownload the source code
go get -d github.com/tensorflow/tensorflow/tensorflow/go
Build the TensorFlow C library:
cd ${GOPATH}/src/github.com/tensorflow/tensorflow
./configure
bazel build --config opt //tensorflow:libtensorflow.so
This can take a while (tens of minutes, more if also building for GPU).
Makelibtensorflow.soavailable
to the linker. This can be done by either:
a. Copying it to a system location, e.g.,
sudo cp ${GOPATH}/src/github.com/tensorflow/tensorflow/bazel-bin/tensorflow/libtensorflow.so /usr/local/lib
OR
b. Setting environment variables:
export LIBRARY_PATH=${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
Build and test:
go test github.com/tensorflow/tensorflow/tensorflow/go
Go functions corresponding to TensorFlow operations are generated inop/wrappers.go.
To regenerate them:
Prerequisites:
go generate github.com/tensorflow/tensorflow/tensorflow/go/op
Use stackoverflow 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.
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