Help there is an error!

Known issues

This page gathers known issues that are a direct result of DLStream use and how to handle them. It will be updated in the future. Please refer to the following text before submitting a new issue.

Error when stopping the analysis:

BrokenPipeError: [Errno 32] Broken pipe

This is an multiprocessing.Queue closing error, when some items are still in the Queue. This should not affect the app in any meaningful way.

Tensorflow not releasing GPU memory

Sometimes Tensorflow session will not release all allocated GPU memory when you stop the analysis. This will result in OOM (out of memory) error. See more on that issue on tensorflow github

The error itself looks like this:

2020-02-10 13:44:49.972600: E tensorflow/stream_executor/cuda/cuda_driver.cc:806] failed to allocate 635,29M (666146048 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

The issue can be resolved by closing and opening the app. If not, manually kill all python processes

killall -9 python

License

This project is licensed under the GNU General Public License v3.0. Note that the software is provided "as is", without warranty of any kind, expressed or implied.