This test uses pseudo random numbers to generate index tensors, which can result in requiring too large grid dimensions. For instance, there was this error reported today:
C++ exception with description " INTERNAL ASSERT FAILED at "/opt/pytorch/nvfuser/csrc/runtime/executor_params.cpp":41, please report a bug with repro script to NVFuser at https://github.com/NVIDIA/Fuser/issues. Invalid number of blocks in y direction: 69923
Exception raised from assertValid at /opt/pytorch/nvfuser/csrc/runtime/executor_params.cpp:41 (most recent call first):
The true fix would be making sure the scheduler to use a proper launch configurations, but these index operations are only there as experimental ops, I think this fix should be good enough for now.
naoyam
commented
2 weeks ago
This test uses pseudo random numbers to generate index tensors, which can result in requiring too large grid dimensions. For instance, there was this error reported today:
The true fix would be making sure the scheduler to use a proper launch configurations, but these index operations are only there as experimental ops, I think this fix should be good enough for now.