After installing TensorFlow and its dependencies on a g2.2xlarge EC2 instance I tried to run an MNIST example from the getting started page:
python tensorflow/models/image/mnist/convolutional.py
But I get the following warning:
I tensorflow/core/common_runtime/gpu/gpu_device.cc:611] Ignoring gpu device
(device: 0, name: GRID K520, pci bus id: 0000:00:03.0) with Cuda compute
capability 3.0. The minimum required Cuda capability is 3.5.
Is this a hard requirement? Any chance I could comment that check out in a fork of TensorFlow? It would be super nice to be able to train models in AWS.