THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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- Download the package that was just uploaded to svn as above.
- Test that a build is successful - spinning up a deep learning Ubuntu AMI will give you an environment with all dependencies to build. A `make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1` should do.
- if Possible, run a simple (mnist) test to verify the src.
Step 1.12. Create Scala Maven Packages
(WIP)
The following flags are used to build the MXNet Backend(derived from mxnet pip flags)
FLAGS | MXNet-Scala OSX | MXNet-Scala Linux CPU | MXNet-Scala Linux GPU |
---|---|---|---|
USE_BLAS | openblas | blas | |
USE_LAPACK | 1 | 1 | |
USE_OPENCV | 1 | 1 | |
USE_S3 | 1 | 1 | |
USE_DIST_KVSTORE | 1 | 1 | |
USE_SIGNAL_HANDLER | 1 | 1 | |
USE_OPENMP | 1 | 1 | |
USE_CUDNN | 0 | 1 | |
USE_NCCL | 0 | 1 |
Setup Your Development Environment to build a maven package
https://www.apache.org/dev/publishing-maven-artifacts.html#dev-env
2. Running the voting process for a release:
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