Is Intel based graphic card compatible with tensorflow/GPU?

tensorflow gpu intel graphic
Mohamed Achraf picture Mohamed Achraf · Oct 12, 2016 · Viewed 18.6k times · Source

Is this graphic card compatible with tensorflow/GPU ?

*-display               
   description: VGA compatible controller
   product: Haswell-ULT Integrated Graphics Controller
   vendor: Intel Corporation
   physical id: 2
   bus info: pci@0000:00:02.0
   version: 09
   width: 64 bits
   clock: 33MHz
   capabilities: msi pm vga_controller bus_master cap_list rom
   configuration: driver=i915 latency=0
   resources: irq:44 memory:c2000000-c23fffff memory:b0000000-bfffffff ioport:7000(size=64)

Answer

Steven picture Steven · Oct 12, 2016

At the moment no. Only Nvidia GPUs and (intel/amd) CPU versions are available.

They are working on an openCL compatible version of tensorflow that would be compatible and you can follow its progress here

Related questions

How to tell if tensorflow is using gpu acceleration from inside python shell?

I have installed tensorflow in my ubuntu 16.04 using the second answer here with ubuntu's builtin apt cuda installation. Now my question is how can I test if tensorflow is really using gpu? I have a gtx 960m gpu. When I …

Read More
How to get current available GPUs in tensorflow?

I have a plan to use distributed TensorFlow, and I saw TensorFlow can use GPUs for training and testing. In a cluster environment, each machine could have 0 or 1 or more GPUs, and I want to run my TensorFlow graph into …

Read More
How do I use TensorFlow GPU?

How do I use TensorFlow GPU version instead of CPU version in Python 3.6 x64? import tensorflow as tf Python is using my CPU for calculations. I can notice it because I have an error: Your CPU supports instructions that this …

Read More