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diff --git a/tensorflow/docs_src/install/install_go.md b/tensorflow/docs_src/install/install_go.md deleted file mode 100644 index 0c604d7713..0000000000 --- a/tensorflow/docs_src/install/install_go.md +++ /dev/null @@ -1,142 +0,0 @@ -# Install TensorFlow for Go - -TensorFlow provides APIs for use in Go programs. These APIs are particularly -well-suited to loading models created in Python and executing them within -a Go application. This guide explains how to install and set up the -[TensorFlow Go package](https://godoc.org/github.com/tensorflow/tensorflow/tensorflow/go). - -Warning: The TensorFlow Go API is *not* covered by the TensorFlow -[API stability guarantees](../guide/version_compat.md). - - -## Supported Platforms - -This guide explains how to install TensorFlow for Go. Although these -instructions might also work on other variants, we have only tested -(and we only support) these instructions on machines meeting the -following requirements: - - * Linux, 64-bit, x86 - * macOS X, 10.12.6 (Sierra) or higher - - -## Installation - -TensorFlow for Go depends on the TensorFlow C library. Take the following -steps to install this library and enable TensorFlow for Go: - - 1. Decide whether you will run TensorFlow for Go on CPU(s) only or with - the help of GPU(s). To help you decide, read the section entitled - "Determine which TensorFlow to install" in one of the following guides: - - * [Installing TensorFlow on Linux](../install/install_linux.md#determine_which_tensorflow_to_install) - * [Installing TensorFlow on macOS](../install/install_mac.md#determine_which_tensorflow_to_install) - - 2. Download and extract the TensorFlow C library into `/usr/local/lib` by - invoking the following shell commands: - - TF_TYPE="cpu" # Change to "gpu" for GPU support - TARGET_DIRECTORY='/usr/local' - curl -L \ - "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.10.0.tar.gz" | - sudo tar -C $TARGET_DIRECTORY -xz - - The `tar` command extracts the TensorFlow C library into the `lib` - subdirectory of `TARGET_DIRECTORY`. For example, specifying `/usr/local` - as `TARGET_DIRECTORY` causes `tar` to extract the TensorFlow C library - into `/usr/local/lib`. - - If you'd prefer to extract the library into a different directory, - adjust `TARGET_DIRECTORY` accordingly. - - 3. In Step 2, if you specified a system directory (for example, `/usr/local`) - as the `TARGET_DIRECTORY`, then run `ldconfig` to configure the linker. - For example: - - <pre><b>sudo ldconfig</b></pre> - - If you assigned a `TARGET_DIRECTORY` other than a system - directory (for example, `~/mydir`), then you must append the extraction - directory (for example, `~/mydir/lib`) to two environment variables - as follows: - - <pre> <b>export LIBRARY_PATH=$LIBRARY_PATH:~/mydir/lib</b> # For both Linux and macOS X - <b>export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/mydir/lib</b> # For Linux only - <b>export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:~/mydir/lib</b> # For macOS X only</pre> - - 4. Now that the TensorFlow C library is installed, invoke `go get` as follows - to download the appropriate packages and their dependencies: - - <pre><b>go get github.com/tensorflow/tensorflow/tensorflow/go</b></pre> - - 5. Invoke `go test` as follows to validate the TensorFlow for Go - installation: - - <pre><b>go test github.com/tensorflow/tensorflow/tensorflow/go</b></pre> - -If `go get` or `go test` generate error messages, search (or post to) -[StackOverflow](http://www.stackoverflow.com/questions/tagged/tensorflow) -for possible solutions. - - -## Hello World - -After installing TensorFlow for Go, enter the following code into a -file named `hello_tf.go`: - -```go -package main - -import ( - tf "github.com/tensorflow/tensorflow/tensorflow/go" - "github.com/tensorflow/tensorflow/tensorflow/go/op" - "fmt" -) - -func main() { - // Construct a graph with an operation that produces a string constant. - s := op.NewScope() - c := op.Const(s, "Hello from TensorFlow version " + tf.Version()) - graph, err := s.Finalize() - if err != nil { - panic(err) - } - - // Execute the graph in a session. - sess, err := tf.NewSession(graph, nil) - if err != nil { - panic(err) - } - output, err := sess.Run(nil, []tf.Output{c}, nil) - if err != nil { - panic(err) - } - fmt.Println(output[0].Value()) -} -``` - -For a more advanced example of TensorFlow in Go, look at the -[example in the API documentation](https://godoc.org/github.com/tensorflow/tensorflow/tensorflow/go#ex-package), -which uses a pre-trained TensorFlow model to label contents of an image. - - -### Running - -Run `hello_tf.go` by invoking the following command: - -<pre><b>go run hello_tf.go</b> -Hello from TensorFlow version <i>number</i></pre> - -The program might also generate multiple warning messages of the -following form, which you can ignore: - -<pre>W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library -wasn't compiled to use *Type* instructions, but these are available on your -machine and could speed up CPU computations.</pre> - - -## Building from source code - -TensorFlow is open-source. You may build TensorFlow for Go from the -TensorFlow source code by following the instructions in a -[separate document](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/go/README.md). |