pytorch project, CUDNN_STATUS_INTERNAL_ERROR:an illegal memory access wa encountered










1















I get batch data from DataLoader. And the length of dataset is not divisible by batch size. All batches work well expect the last one. If I set “drop_last = True” when instantiate DataLoader instance, the error won’t appear.



My dataset length is 11522, batch size is 32. So the length of last batch is 2. And I use two gpus.



I google for an hour, someone said rm -r ~/.nv and restart computer. But my code runs on server , I can’t restart it. Also someone said to set cudnn.benchmark = False. But the same statement on other project works well.



Why encounter the error? It upset me and I dont’ wanna drop the last two data actually.



My pytorch version is 0.3.1. And I did use DataParallel.



I print shape of my data as shown below



enter image description here










share|improve this question



















  • 2





    Please post your error as text (and not as image).

    – cheersmate
    Nov 16 '18 at 11:33











  • idownvotedbecau.se/imageofanexception

    – desertnaut
    Nov 17 '18 at 0:26











  • Thanks guys. I will pay attention next time. And I found the solution on github github.com/pytorch/pytorch/issues/14019#issuecomment-440922051

    – my Kong
    Nov 29 '18 at 1:41















1















I get batch data from DataLoader. And the length of dataset is not divisible by batch size. All batches work well expect the last one. If I set “drop_last = True” when instantiate DataLoader instance, the error won’t appear.



My dataset length is 11522, batch size is 32. So the length of last batch is 2. And I use two gpus.



I google for an hour, someone said rm -r ~/.nv and restart computer. But my code runs on server , I can’t restart it. Also someone said to set cudnn.benchmark = False. But the same statement on other project works well.



Why encounter the error? It upset me and I dont’ wanna drop the last two data actually.



My pytorch version is 0.3.1. And I did use DataParallel.



I print shape of my data as shown below



enter image description here










share|improve this question



















  • 2





    Please post your error as text (and not as image).

    – cheersmate
    Nov 16 '18 at 11:33











  • idownvotedbecau.se/imageofanexception

    – desertnaut
    Nov 17 '18 at 0:26











  • Thanks guys. I will pay attention next time. And I found the solution on github github.com/pytorch/pytorch/issues/14019#issuecomment-440922051

    – my Kong
    Nov 29 '18 at 1:41













1












1








1








I get batch data from DataLoader. And the length of dataset is not divisible by batch size. All batches work well expect the last one. If I set “drop_last = True” when instantiate DataLoader instance, the error won’t appear.



My dataset length is 11522, batch size is 32. So the length of last batch is 2. And I use two gpus.



I google for an hour, someone said rm -r ~/.nv and restart computer. But my code runs on server , I can’t restart it. Also someone said to set cudnn.benchmark = False. But the same statement on other project works well.



Why encounter the error? It upset me and I dont’ wanna drop the last two data actually.



My pytorch version is 0.3.1. And I did use DataParallel.



I print shape of my data as shown below



enter image description here










share|improve this question
















I get batch data from DataLoader. And the length of dataset is not divisible by batch size. All batches work well expect the last one. If I set “drop_last = True” when instantiate DataLoader instance, the error won’t appear.



My dataset length is 11522, batch size is 32. So the length of last batch is 2. And I use two gpus.



I google for an hour, someone said rm -r ~/.nv and restart computer. But my code runs on server , I can’t restart it. Also someone said to set cudnn.benchmark = False. But the same statement on other project works well.



Why encounter the error? It upset me and I dont’ wanna drop the last two data actually.



My pytorch version is 0.3.1. And I did use DataParallel.



I print shape of my data as shown below



enter image description here







pytorch cudnn






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 17 '18 at 0:26









desertnaut

20.3k74379




20.3k74379










asked Nov 16 '18 at 6:27









my Kongmy Kong

91




91







  • 2





    Please post your error as text (and not as image).

    – cheersmate
    Nov 16 '18 at 11:33











  • idownvotedbecau.se/imageofanexception

    – desertnaut
    Nov 17 '18 at 0:26











  • Thanks guys. I will pay attention next time. And I found the solution on github github.com/pytorch/pytorch/issues/14019#issuecomment-440922051

    – my Kong
    Nov 29 '18 at 1:41












  • 2





    Please post your error as text (and not as image).

    – cheersmate
    Nov 16 '18 at 11:33











  • idownvotedbecau.se/imageofanexception

    – desertnaut
    Nov 17 '18 at 0:26











  • Thanks guys. I will pay attention next time. And I found the solution on github github.com/pytorch/pytorch/issues/14019#issuecomment-440922051

    – my Kong
    Nov 29 '18 at 1:41







2




2





Please post your error as text (and not as image).

– cheersmate
Nov 16 '18 at 11:33





Please post your error as text (and not as image).

– cheersmate
Nov 16 '18 at 11:33













idownvotedbecau.se/imageofanexception

– desertnaut
Nov 17 '18 at 0:26





idownvotedbecau.se/imageofanexception

– desertnaut
Nov 17 '18 at 0:26













Thanks guys. I will pay attention next time. And I found the solution on github github.com/pytorch/pytorch/issues/14019#issuecomment-440922051

– my Kong
Nov 29 '18 at 1:41





Thanks guys. I will pay attention next time. And I found the solution on github github.com/pytorch/pytorch/issues/14019#issuecomment-440922051

– my Kong
Nov 29 '18 at 1:41












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