It is most certainly possible to run tensorflow on AMD GPUs. About 2 years back ROCm was released which gets things done. However, the is a caveat, that it runs only on Linux as of now owing to its open-source origins.
AMD has released ROCm, a Deep Learning driver to run Tensorflow-written scripts on AMD GPUs. However, many owners and I have encountered many challenges in installing Tensorflow on AMD GPUs. Hence, I provided the installation instructions of Tensorflow for AMD GPUs below.
Is there a TensorFlow-GPU library for AMD GPU?
The tensorflow-gpu library isn’t built for AMD as it uses CUDA while the open. CL library cannot be used with tensorflow (I guess). Is there a library that I could use for tensorflow computations on AMD GPU??
Note: The AMD Tensor. Flow framework container assumes that the server contains the required x86-64 CPU (s) and at least one of the listed AMD GPUs. The server must have one of the required operating systems and the listed ROCm driver version installed to run the Docker container.
Does keras work with TensorFlow?
1.) Keras will work if you can make Tensorflow work correctly (optionally within your virtual/conda environment) . 2.) To get Tensorflow to work on an AMD GPU, as others have stated, one way this could work is to compile Tensorflow to use Open, and cl.
You may be asking “What is the best alternative to TensorFlow?”
One can use AMD GPU via the Plaid. ML Keras backend., fastest: plaid ML is often 10x faster (or more) than popular platforms (like Tensor. Flow CPU ) because it supports all GPUs, independent of make and model .
What is the difference between TensorFlow and-TFX?
– tfx is the version of Tensor, and flow. For example, tf1 or tf2., tensor Flow is run by importing it as a Python module: You might want to pull in data and model descriptions from locations outside the container for use by Tensor, and flow.