Matthieu Brucher wrote: > > Can't you emulate this behaviour with signals different than images ? > (say random signal of 64*64*64*3 samples). > > > > I wish I could, but this behaviour only shows up on this peculiar data > set :( It always happens at the same time ? > > Unfortunately, the process is very long, there are several > optimizations in the process, the whole thing in a EM-like algorithm, > and the crash does not occur with the first image, it is later. Can you observe some 'funky' memory behaviour while the process is running ? For example, does the memory keeps increasing after each dataset ?
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