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Possibly this is due to sharing the GPU. Try switching the GPUs to exclusive mode (nvidia-smi -c 3) and using the option --use-gpu=wait to scripts like steps/nnet3/chain/train.py. Memory info: bytes. Possibly smaller minibatch size would help. subregion->end > subregion->begincudaMallocPitch(&ans, pitch, row_bytes, num_rows)HLMt:IL L9It.HHt IHH@HwH9tAALAUATUSHHHHt$IHH9w L,L8HG0Lg0=HI$HE(HHILHHMHEHt]ALM(IH}H9HMLH9tK IHHt)H1HAHIH8HtHHHHH}HE0H9tH]LeH[]A\A]AUATUSHHIIHdH%(HD$1HG(H$HWHwH tHHHLHsIJ HJHt4HHEHJH(HCHHL$dH3 %(ufH[]A\A]HCHEHkHEHtH@HsHH,HHSHHHHHAUATUSHHIH.HHwIHHLHtHHBHt H[]A\A]ÿHtHHtI$HPH@HHLHHLHL9war LRL9VrUL M9M9wLYL9^L9rL9HqH9rHLHHGHQHWHAL L9r:w LYL9Zr.M9rCM9w HAH9Fr4HLHHGHVHWHFHHH HGHJHOHBHLHHGHQHWHAHLHHGHVHWHFHHH HGHJHOHBHHwHHPHPHHHWH9wrH9wwHHpH9AUATUSHIH_H9HIH H)HHHHHCHL)HHH~HHHHHHHHHHI4$I|$HH9t-HH3I$H9rw ID$H9CrHjHH[]A\A]AVAUATUSILJLH?LHH9*HI*LIIMIMI+I)M[MYIH9}:MYO$ID$HHLIMM+LuM9wrHmI;kIFuLJLH?LHH9tHPII?IIH9\tLLLHHHHLLHRHPLHLLHRHPIQHH?HHHLL9}ILHLLL9wrL;BwHHHLG[]A\A]A^H;HAWAVAUATUSHH|$IIHH<$H)HHMt LfMHH|$H)H~RHHHHH?HHIHL,IMMEHjHLHIHMtILH|$H)H~IIl$H)H +LD+HH+HCHD+HHHjHHHHmH[]A\A]A^A_HHHH9rw LHL9KrI9s>I$H>ID$HVIT$HFHIH}H H9rw HCH9ErHFHjLLLHH+l$HHfMMIH+$HHHH?HHHHINHjLHLHL_CheckAllocateNewRegionFreeMallocPitchPrintMemoryUsageGetFreeGpuMemoryRemoveFromFreeBlocksMallocN5kaldi15KaldiFatalErrorE.A?Gz?_cUUUUUUU TUint gU 1 ? 8UU *&? &&&U&t'                           ! 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