From 9e1f23517ce4d539bda740bc3174861d2ec6e237 Mon Sep 17 00:00:00 2001 From: Laurent Mazare Date: Sat, 9 Jul 2016 16:18:23 +0100 Subject: [PATCH] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f092f79..4fb3739 100644 --- a/README.md +++ b/README.md @@ -17,6 +17,7 @@ After that you have to get/build the TensorFlow library `libtensorflow.so`. The 1. Clone the TensorFlow repo `git clone --recurse-submodules -b r0.9 https://github.com/tensorflow/tensorflow` 1. In `tensorflow` run `./configure` then `bazel build -c opt tensorflow:libtensorflow.so` - In order to build with GPU support, CUDA needs to be installed and specified during `./configure`, and use `bazel build -c opt --config=cuda tensorflow:libtensorflow.so` to build. +* You can download a prebuilt [x86-64 linux binary](https://github.com/LaurentMazare/tensorflow-ocaml/releases/download/0.0.4/libtensorflow.so). * An alternative is to [install TensorFlow using pip](https://www.tensorflow.org/versions/r0.9/get_started/os_setup.html#pip-installation) then copy the `.so` file in `libtensorflow.so`. You may have to tweak the following command depending on where TensorFlow was installed by pip. ```bash cp ~/.local/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so libtensorflow.so