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Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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residual-networks network-architecture imagenet deep-learning cnn-architecture resnet cifar-10 cifar-100 torch7

pyramidnet's Issues

Training depth-272 net out of memory.

I encounter out-of-memory problem each time I train the net with depth=272, alpha = 200. My training configuration is as follows:
th main.lua -netType addpyramidnet -depth 272 -batchSize 128 -nGPU 4 -shareGradInput true
and the out-of-memory problem occurs when the 2nd epoch begins.
After I changed batchSize into 120 and nGPU into 6, the problems occurs when the 3rd epoch begins.
Are there any solutions?

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