AI News, BOOK REVIEW: Working With Source

Working With Source

Once installed, git clone ND4J or DL4J by entering these commands into your console: You might also want to clone our examples so you can mess around with ND4J or DL4J’s pre-built samples (the version will vary): Another way to get the source code is by clicking on the “download ZIP” button from the ND4J GitHub page.

To make sure you have the most recent, working version of these libraries, you can cd into their root directories and enter the following command into your prompt: Running a mvn clean install etc.

deeplearning4j/libnd4j

Build using cmake There's few additional arguments for buildnativeoperations.sh script you could use: You can find the compute capability for your card on the NVIDIA website here.

Download the NDK, extract it somewhere, and execute the following commands, replacing android-xxx with either android-arm or android-x86: Run ./setuposx.sh (Please ensure you have brew installed) See macOSx10 CPU only.md Depends on the distro - ask in the earlyadopters channel for specifics on

In either case, simply add the path containing libmkl_rt.so (or mkl_rt.dll on Windows), say /path/to/intel64/lib/, to the LD_LIBRARY_PATH environment variable on Linux (or PATH on Windows), and build or run your Java application as usual.

If you get an error message like undefined symbol: omp_get_num_procs, it probably means that libiomp5.so, libiomp5.dylib, or libiomp5md.dll is not present on your system.

Working With Source

Once installed, git clone ND4J or DL4J by entering these commands into your console: You might also want to clone our examples so you can mess around with ND4J or DL4J’s pre-built samples (the version will vary): Another way to get the source code is by clicking on the “download ZIP” button from the ND4J GitHub page.

To make sure you have the most recent, working version of these libraries, you can cd into their root directories and enter the following command into your prompt: Running a mvn clean install etc.

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