golang_install_guide

Golang Install Guide

Documentation for installing the Go bindings for TensorFlow.

Maintainer: @wamuir

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Important: TensorFlow for Go is no longer supported by the TensorFlow team.

Install TensorFlow for Go

TensorFlow provides a Go API particularly useful for loading models created with Python and running them within a Go application.

Caution: The TensorFlow Go API is not covered by the TensorFlow API stability guarantees.

Supported Platforms

The Go bindings for TensorFlow work on the following systems, and likely others:

• Linux, 64-bit, x86
• macOS, Version 10.12.6 (Sierra) or higher

Installation and Setup

1. Install the TensorFlow C Library

Install the TensorFlow C library. This library is required for use of the TensorFlow Go package at runtime. For example, on Linux (64-bit, x86):

$ curl -L https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.8.0.tar.gz | tar xz --directory /usr/local
$ ldconfig

2. Install the Protocol Buffers Library and Compiler

Install the protocol buffers library and compiler. The compiler and well-known proto type files from the library are required during installation of the Go bindings.

• Linux, using apt or apt-get, for example:

  $ apt install libprotobuf-dev protobuf-compiler

• MacOS, using Homebrew:

  $ brew install protobuf

3. Install and Setup the TensorFlow Go API

The use of go get is not currently supported for installation of the TensorFlow Go API. Instead, follow these instructions.

• First, note the location of your Go workspace. The remaining installation steps must be performed inside your Go workspace.

  $ go env GOPATH

• Clone the TensorFlow source respository, substituting the location of your Go workspace for /go in the command below.

  $ git clone --branch v2.8.0 https://github.com/tensorflow/tensorflow.git /go/src/github.com/tensorflow/tensorflow

• Change the working directory to the base of the cloned TensorFlow repository, substituting the the location of your Go workspace for /go in the command below.

  $ cd /go/src/github.com/tensorflow/tensorflow

• Apply a required patch to the TensorFlow source code.

  $ git cherry-pick --strategy-option=no-renames --no-commit 65a5434

• Initialize a new go.mod file.

  $ go mod init github.com/tensorflow/tensorflow

• Generate wrappers and protocol buffers.

  $ (cd tensorflow/go/op && go generate)

• Add missing modules.

  $ go mod tidy

• Test the installation.

  $ go test ./...

Usage

Applications must use Go Mod's replace directive

The replace directive instructs Go to use the local installation and must be added to go.mod for every Go module that depends on the API. Point the replace directive to the location within your Go workspace where you installed the API, substituting the location of your Go workspace for /go in the command below:

$ go mod init hello-world
$ go mod edit -require github.com/tensorflow/[email protected]+incompatible
$ go mod edit -replace github.com/tensorflow/tensorflow=/go/src/github.com/tensorflow/tensorflow
$ go mod tidy

Example program

With the TensorFlow Go API installed, create an example program with the following source code (hello_tf.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())
}

Initialize go.mod for the example program:

$ go mod init app
$ go mod edit -require github.com/tensorflow/[email protected]+incompatible
$ go mod edit -replace github.com/tensorflow/tensorflow=/go/src/github.com/tensorflow/tensorflow
$ go mod tidy

Then, run the example program:

$ go run hello_tf.go

The command outputs: Hello from TensorFlow version *number*

Success: TensorFlow for Go has been configured.

Docker Example

A Dockerfile is available, which executes the installation and setup process for the Go bindings and builds the example program. To use, install Docker and then run the following commands:

$ docker build -t tensorflow/build:golang-example https://github.com/tensorflow/build.git#:golang_install_guide/example-program
$ docker run tensorflow/build:golang-example