You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/09/07 03:04:18 UTC

[GitHub] Faldict commented on issue #12142: Failed to import MXNet built with TensorRT

Faldict commented on issue #12142: Failed to import MXNet built with TensorRT
URL: https://github.com/apache/incubator-mxnet/issues/12142#issuecomment-419307255
 
 
   Hi @KellenSunderland . I have installed mxnet-tensorrt-cu90, but failed to utilize gpu. While running code with gpu context, I meet some errors:
   
   ```
   mxnet.base.MXNetError: [10:57:16] /work/mxnet/3rdparty/mshadow/mshadow/././././cuda/tensor_gpu-inl.cuh:110: Check failed: err == cudaSuccess (48 vs. 0) Name: MapPlanKernel ErrStr:no kernel image is available for execution on the device
   ```
   
   The cuda version is indeed 9.0. So I wonder what cudnn version it builds on?
   
   By the way, this pip package depends on protobuf 3.5. I wish you could point out critical dependencies. (I reinstalled protobuf 3.5.1 again.)

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services