I'm testing out our new Caffe installation (rc3 compiled on CentOS 6, built against CUDA 6.0) and trying to run some of the command-line examples from the tutorial docs. I'm getting errors like this one:
F0513 13:11:32.668946 16725
sgd_solver.cu:19] Check failed: error == cudaSuccess (9 vs. 0) invalid configuration argument
To simplify the test for now, I'd like to just turn off GPU support for this particular run, but I don't see how to do it. The tutorial (
http://caffe.berkeleyvision.org/tutorial/interfaces.html ) says that without -gpu it'll just use the CPU (for example in the Benchmarking section), but when I try it, it still tries the GPU. For example, this command:
caffe train -solver models/finetune_flickr_style/solver.prototxt -weights models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
Shows this first line on stdout:
I0513 13:22:49.173905 6741 caffe.cpp:185] Using GPUs 0
... and then fails as mentioned above. My question is, is there something like "-gpu all" that instead acts as "-gpu none"? Thanks in advance for any ideas.
Jesse