GPU out of memory error

[mrcharlie90]

Hello everyone,
I'm testing your code for a project and I'm getting some of the following errors when I run demo_multiperson.m:

(in the console)
F0923 15:47:45.735599 4029 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory *** Check failure stack trace: *** Killed

(in matlab)
Cleared 0 solvers and 0 stand-alone nets save dir .../git/deepcut/data/mpii-multiperson/scoremaps/test testing from net file /home/marco/Desktop/mauro-skeletal-tracker/git/deepcut/data/caffe-models/ResNet-101-mpii-multiperson.caffemodel deepcut: test (MPII multiperson test) 2/1758

with a Matlab crash.

My video card is an NVidia GeForce GTX 760 Ti 2GB.

I'm new to deep learning and Caffe, but I've read on the web that sometimes is possible to run tests on less memory capable graphics cards, as in my case, by changing some parameters (like the batch-size). Is that possible in deepcut? Where could I change those parameters in your code?
Thank you in advance!

[minhtriet]

My NVidia card has 4 GB and Matlab still crashes when running this code. I had to run the code on a 12 GB Titan card.

[mrcharlie90]

Thank you for your answer.
I've tried also on a computer with set_cpu_mode on and the demo works.

[minhtriet]

CPU_ONLY gives me this error src/caffe/layers/softmax_loss_vec_layer.cpp:254:10: error: redefinition of ‘void caffe::SoftmaxWithLossVecLayer<Dtype>::Forward_gpu(const std::vector<caffe::Blob<Dtype>*>&, const std::vector<caffe::Blob<Dtype>*>&)’ STUB_GPU(SoftmaxWithLossVecLayer);. I had opened a new issue here.