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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/04/25 06:08:06 UTC
[GitHub] [incubator-mxnet] SusBioRes-UBC opened a new issue #20213: Stuck with "Mxnet running performance tests to find the best convolution algorithm"
SusBioRes-UBC opened a new issue #20213:
URL: https://github.com/apache/incubator-mxnet/issues/20213
Hello,
I'm trying to train AlexNet using ImageNet from scratch. But I’m stuck with the following message for hours and never able to proceed to the next step:
_src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while… (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)_
My system is:
10-Core 3.70 GHz Intel Core i9-10900X
GeForce 2080Ti
64 GB DDR4
Ubuntu 18.04
Any suggestion is highly appreciated, thanks!
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[GitHub] [incubator-mxnet] SusBioRes-UBC commented on issue #20213: Stuck with "Mxnet running performance tests to find the best convolution algorithm"
Posted by GitBox <gi...@apache.org>.
SusBioRes-UBC commented on issue #20213:
URL: https://github.com/apache/incubator-mxnet/issues/20213#issuecomment-828138521
Thank you for the prompt response @ptrendx. Sorry I forgot to check the log file and it seems the training was going normally. I guess this seemingly "stuck situation" is probably b/c I did not print anything to the terminal. Sorry for the false alarm. I will close the issue.
Regards,
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[GitHub] [incubator-mxnet] github-actions[bot] commented on issue #20213: Stuck with "Mxnet running performance tests to find the best convolution algorithm"
Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on issue #20213:
URL: https://github.com/apache/incubator-mxnet/issues/20213#issuecomment-826264524
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on [contributing to MXNet](https://mxnet.apache.org/community/contribute) and our [development guides wiki](https://cwiki.apache.org/confluence/display/MXNET/Developments).
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[GitHub] [incubator-mxnet] github-actions[bot] commented on issue #20213: Stuck with "Mxnet running performance tests to find the best convolution algorithm"
Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on issue #20213:
URL: https://github.com/apache/incubator-mxnet/issues/20213#issuecomment-826264524
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on [contributing to MXNet](https://mxnet.apache.org/community/contribute) and our [development guides wiki](https://cwiki.apache.org/confluence/display/MXNET/Developments).
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[GitHub] [incubator-mxnet] SusBioRes-UBC closed issue #20213: Stuck with "Mxnet running performance tests to find the best convolution algorithm"
Posted by GitBox <gi...@apache.org>.
SusBioRes-UBC closed issue #20213:
URL: https://github.com/apache/incubator-mxnet/issues/20213
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[GitHub] [incubator-mxnet] ptrendx commented on issue #20213: Stuck with "Mxnet running performance tests to find the best convolution algorithm"
Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #20213:
URL: https://github.com/apache/incubator-mxnet/issues/20213#issuecomment-827064363
We would need more information to help you - what version of MXNet, CUDA and cuDNN are you using for example, details about your training script would also be very useful, as well as output of `nvidia-smi` while the training seems stuck. How do you know that the network is not proceeding to "the next step" - did you put any prints or other ways of seeing progress there?
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