C++ library to apply similarity measures and classifications on the results of audio analysis, including Python bindings. Together with Essentia it can be used to compute high-level descriptions of music.
During dataset training, when cluster_mode=False, the multiprocessing code starts n new processes, and then runs jobs in each process. There is a memory leak during this process, and so eventually the processes get killed (and turn into zombies).
Running with cluster_mode=True, a new process is started for the actual training process, and so any leaked memory is recovered at the end of each job.
Attached is a valgrind report of potential memory leaks. Gaia was built with debug mode, and so symbol names and filenames are included (search for gaia2::)
gaia-svmclassification-valgrind.txt
alastair
commented
4 years ago
During dataset training, when cluster_mode=False, the multiprocessing code starts n new processes, and then runs jobs in each process. There is a memory leak during this process, and so eventually the processes get killed (and turn into zombies). Running with cluster_mode=True, a new process is started for the actual training process, and so any leaked memory is recovered at the end of each job.
Attached is a valgrind report of potential memory leaks. Gaia was built with debug mode, and so symbol names and filenames are included (search for
gaia2::) gaia-svmclassification-valgrind.txt