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I could not for the life of me figure out how to install cudarray with cuda (was getting a no file/directory error on make for nvcc), so have decided to move on and try it without CUDA.
I have a project almost identical to your cifar example with a different set of test images. I've been running your example to study the output before changing to my data, and it's been running for around an hour. Do you know how long it takes roughly without CUDA?
The text was updated successfully, but these errors were encountered:
The CPU implementation of the convolutions is horribly slow and should not be used for training. I have never used them to train anything above MNIST-size data. :)
I could not for the life of me figure out how to install cudarray with cuda (was getting a no file/directory error on
make
fornvcc
), so have decided to move on and try it without CUDA.I have a project almost identical to your cifar example with a different set of test images. I've been running your example to study the output before changing to my data, and it's been running for around an hour. Do you know how long it takes roughly without CUDA?
The text was updated successfully, but these errors were encountered: