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Maybe you could try the newest CUDNN, it will save GPU memory.
And I rewrite faster rcnn in C++ and keep synchronization with official caffe, you may try https://github.com/D-X-Y/caffe-faster-rcnn/tree/dev
I've trained based on ZF net on my GTX965 2G memory and failed even the batch size was set to 2. Any other tricks to address it?
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