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TensorFlow

ROCm Tensorflow v1.10 Release

We are excited to announce the release of ROCm enabled TensorFlow v1.11 for AMD GPUs.

Tensorflow Installation

First, you’ll need to install the open-source ROCm stack, require at least ROCm1.9.0. Details can be found here: https://rocm.github.io/ROCmInstall.html Then, install these other relevant ROCm packages:

sudo apt update
sudo apt install rocm-libs miopen-hip cxlactivitylogger

And finally, install TensorFlow itself (via the Python Package Index):

sudo apt install wget python3-pip
# Pip3 install the whl package from PyPI
pip3 install --user tensorflow-rocm

Now that Tensorflow v1.11 is installed!

Tensorflow More Resources

Tensorflow docker images are also publicly available, more details can be found here: https://hub.docker.com/r/rocm/tensorflow/

Please connect with us for any questions, our official github repository is here: https://github.com/ROCmSoftwarePlatform/tensorflow-upstream