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Min Xu authored
* [bug]: not all CUDA memory is freed when model is deleted * fixed memory leak - without this, peak memory will be high when more than one model is trained (i.e. first model leave staff around pushing up the peak memory when the second model runs) * addressed comments * fix * changelog
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