Supports Linux and MacOS. When using MKL fftw is not required
| Library | Ubuntu package name |
|---|---|
| fftw | libfftw3-dev |
| boost | libboost-all-dev |
| BoostNumpy | NA |
| jemalloc | libjemalloc-dev |
| Flag | Description |
|---|---|
| ZNN_CUBE_POOL | Use custom memory pool, usually faster |
| ZNN_CUBE_POOL_LOCKFREE | Use custom lockfree memory pool, even faster (some memory overhead) |
| ZNN_USE_FLOATS | Use single precision floating point numbers |
| ZNN_DONT_CACHE_FFTS | Don't cache FFTs for the backward pass |
| ZNN_USE_MKL_DIRECT_CONV | Use MKL direct convolution |
| ZNN_USE_MKL_FFT | Use MKL fftw wrappers |
| ZNN_USE_MKL_NATIVE_FFT | Use MKL native convolution overrides the previous flag |
| ZNN_XEON_PHI | 64 byte memory alignment |
g++ -std=c++1y training_test.cpp -I../../ -I../include -lfftw3 -lfftw3f -lpthread -pthread -O3 -DNDEBUG -o training_test
icc -std=c++1y training_test.cpp -I../../ -I../include -lpthread -lrt -static-intel -DNDEBUG -O3 -mkl=sequential -o training_test
- Aleksander Zlateski <zlateski@mit.edu>