Tensorflow and VTK can’t tolerant Theano access GPU at the same time. Errors similar to bellow will appear.
F tensorflow/stream_executor/cuda/cuda_driver.cc:316] current context was not created by the StreamExecutor cuda_driver API: 0x40e0f10; a CUDA runtime call was likely performed without using a StreamExecutor context
The way that I used to get around is:
- Allocate Theano to another GPU or to CPU
https://github.com/tensorflow/tensorflow/issues/916
- Store data first before calling VTK.
ERROR: In /export/doutriaux1/build/build/ParaView/VTK/Rendering/OpenGL/vtkXOpenGLRenderWindow.cxx, line 382
vtkXOpenGLRenderWindow (0x2a1d710): Could not find a decent visual
ERROR: In /export/doutriaux1/build/build/ParaView/VTK/Rendering/OpenGL/vtkXOpenGLRenderWindow.cxx, line 601
vtkXOpenGLRenderWindow (0x2a1d710): GLX not found. Aborting.
Welcome 