torch._dynamo.trace_rules eagerly loads torch.distributed.tensor at import time, which pulls in _functional_collectives.py. That file registers Meta kernels for _c10d_functional C++ ops, but those ops are only registered by torch._C._distributed_c10d — a C extension absent from ROCm Windows wheels. Pre-stubbing the affected modules in sys.modules prevents the real import chain from running and avoids the "operator does not exist" crash. |
||
|---|---|---|
| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||