pytorch project, CUDNN_STATUS_INTERNAL_ERROR:an illegal memory access wa encountered
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
pytorch cudnn
edited Nov 17 at 0:26
desertnaut
16.2k63566
asked Nov 16 at 6:27
my Kong
91
add a comment |
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
pytorch cudnn
edited Nov 17 at 0:26
desertnaut
16.2k63566
asked Nov 16 at 6:27
my Kong
91
2
Please post your error as text (and not as image).
– cheersmate
Nov 16 at 11:33
idownvotedbecau.se/imageofanexception
– desertnaut
Nov 17 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 at 1:41
add a comment |
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
pytorch cudnn
edited Nov 17 at 0:26
desertnaut
16.2k63566
asked Nov 16 at 6:27
my Kong
91
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
pytorch cudnn
pytorch cudnn
edited Nov 17 at 0:26
desertnaut
16.2k63566
asked Nov 16 at 6:27
my Kong
91
edited Nov 17 at 0:26
desertnaut
16.2k63566
asked Nov 16 at 6:27
my Kong
91
edited Nov 17 at 0:26
desertnaut
16.2k63566
edited Nov 17 at 0:26
desertnaut
16.2k63566
edited Nov 17 at 0:26
desertnaut
16.2k63566
16.2k63566
asked Nov 16 at 6:27
my Kong
91
asked Nov 16 at 6:27
my Kong
91
asked Nov 16 at 6:27
my Kong
91
91
2
Please post your error as text (and not as image).
– cheersmate
Nov 16 at 11:33
idownvotedbecau.se/imageofanexception
– desertnaut
Nov 17 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 at 1:41
add a comment |
2
Please post your error as text (and not as image).
– cheersmate
Nov 16 at 11:33
idownvotedbecau.se/imageofanexception
– desertnaut
Nov 17 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 at 1:41
2
2
Please post your error as text (and not as image).
– cheersmate
Nov 16 at 11:33
Please post your error as text (and not as image).
– cheersmate
Nov 16 at 11:33
idownvotedbecau.se/imageofanexception
– desertnaut
Nov 17 at 0:26
idownvotedbecau.se/imageofanexception
– desertnaut
Nov 17 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 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 at 1:41
add a comment |
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2
Please post your error as text (and not as image).
– cheersmate
Nov 16 at 11:33
idownvotedbecau.se/imageofanexception
– desertnaut
Nov 17 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 at 1:41