HuHeng
commented
8 months ago Could you please provide a minimal reproducible example?
Open zhangsong1234 opened 8 months ago
HuHeng
commented
8 months ago Could you please provide a minimal reproducible example?
graph.decode 输入的input_path为直播流时，当直播流突然断开，bmf 会coredump:
[2024-03-23 04:12:10.668] [info] node:c_ffmpeg_encoder 2 scheduler 1 [2024-03-23 04:14:31.322] [info] node id:0 decode flushing [2024-03-23 04:14:31.322] [info] node id:0 Process node end [2024-03-23 04:14:31.364] [info] node id:0 close node [2024-03-23 04:14:31.364] [info] node 0 close report, closed count: 1 [2024-03-23 04:14:31.364] [info] node id:1 eof received [2024-03-23 04:14:31.364] [info] node id:1 eof processed, remove node from scheduler [2024-03-23 04:14:31.365] [info] node id:1 process eof, add node to scheduler [2024-03-23 04:14:31.373] [info] node id:1 Process node end [2024-03-23 04:14:31.373] [info] node id:1 close node [2024-03-23 04:14:31.373] [info] node 1 close report, closed count: 2 [2024-03-23 04:14:31.373] [info] node id:2 eof received [2024-03-23 04:14:31.373] [info] node id:2 eof processed, remove node from scheduler [2024-03-23 04:14:31.374] [info] node id:2 process eof, add node to scheduler [2024-03-23 04:14:31.374] [info] node id:2 Process node end [2024-03-23 04:14:31.374] [info] node id:2 close node [2024-03-23 04:14:31.374] [info] node 2 close report, closed count:3 [2024-03-23 04:14:31.374] [info] schedule queue 0 start to join thread [2024-03-23 04:14:31.374] [info] schedule queue 0 thread quit [2024-03-23 04:14:31.375] [info] schedule queue 0 closed [2024-03-23 04:14:31.375] [info] schedule queue 1 start to join thread [2024-03-23 04:14:31.375] [info] schedule queue 1 thread quit [2024-03-23 04:14:31.375] [info] schedule queue 1 closed [2024-03-23 04:14:31.375] [info] all scheduling threads were joint
PyCUDA ERROR: The context stack was not empty upon module cleanup.
A context was still active when the context stack was being cleaned up. At this point in our execution, CUDA may already have been deinitialized, so there is no way we can finish cleanly. The program will be aborted now. Use Context.pop() to avoid this problem.