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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/10/16 00:37:48 UTC

[GitHub] [incubator-mxnet] wx3000 opened a new issue #16499: mxnet/tensorRT docker image coredumps

wx3000 opened a new issue #16499: mxnet/tensorRT docker image coredumps 
URL: https://github.com/apache/incubator-mxnet/issues/16499
 
 
   ## Description
   
   The docker image mxnet/tensorrt which integrates mxnet with tensorrt core dumps. docker image has TRT 4.0, python3.5, cuda9 and MxNet 1.3.
   
   ## Environment info (Required)
   AWS base DLAMI on G4 instance. DLAMI version is 19.2 and OS is ubuntu. Installed docker 19.2 and nvidia docker on top of it. 
   
   first install docker:
   https://docs.docker.com/install/linux/docker-ce/ubuntu/
   
   there is one issue with a workaround: https://github.com/docker/for-linux/issues/813
       sudo apt-get install runc=1.0.0~rc7+git20190403.029124da-0ubuntu1~16.04.4
       sudo apt-get install docker-ce
   
   then I installed latest nvidia docker (which requires docker 19.03)
   https://github.com/NVIDIA/nvidia-docker
   
   then I pulled the image
   $ docker run --gpus all -it mxnet/tensorrt bash
   
   I followed the python scripts on this page for mxnet/tensorRT integration. 
   https://github.com/apache/incubator-mxnet/blob/8004a027ad6a73f8f6eae102de8d249fbdfb9a2d/docs/python_docs/python/tutorials/performance/backend/tensorrt/tensorrt.md
   
   

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