Compilation under Yosemite

sdemyanov / ConvNet

Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

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Compilation under Yosemite #21

Open OleksandrVorobiov opened 9 years ago

OleksandrVorobiov commented 9 years ago

Hi Sergey,

thank you a lot for sharing your project. Did you also tried to compile it under Mac Os X (particularly Yosemite)? And in your readme file under Linux compilation stays: Copy the settings file "MatlabRoot"/bin/mexopts.sh to ~/.matlab/"MatlabVersion". Should I copy this file in matlab directory in ConvNet and rename it to eg. MATLAB_R2015a without extension?

Thank you in advance,

Oleksandr Vorobiov

sdemyanov commented 9 years ago

Hi Oleksandr,

I have compiled it on Mac OS once, but it was long time ago. No, you don't need to copy it to ConvNet folder. This is a file with compiler settings. It is not project-specific. If your version is R2015a, you need to copy it to ~/.matlab/R2015a - a folder with Matlab settings for a particular user.

Regards, Sergey.

OleksandrVorobiov commented 9 years ago

Hi Sergey,

thank you for the answer. It did work for CPU compilation with g++ (gcc) but not with default Mac OS clung++ compiler (because of ). I did not try the GPU version yet - I am waiting for the external GPU. I will write the results after.

Regards, Oleksandr