seung-lab / znn-release

Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
GNU General Public License v3.0
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Fft option #58

Closed xiuliren closed 8 years ago

xiuliren commented 8 years ago

this pull request was from Kisuk, I am redirecting this request to development branch to have some tests.

Layer-wise FFT optimization takes quite long if the network being optimized is large. The optimized results are saved as fft=1 or fft=0 options in filter edges, but omitted from loading. They should be loaded from the saved instance, so that time-consuming FFT optimization need not be repeated.