ce9098ae32
torchao.dtypes.nf4tensor uses _c10d_functional ops as dict keys at import time (all_gather_into_tensor.default, wait_tensor.default) and torch.ops.c10d.scatter_.default. None of these ops are registered on ROCm Windows because torch._C._distributed_c10d (the C extension) doesn't ship. Replace the whole _c10d_functional namespace with a custom stub whose ops return hashable .default objects, so dict-key construction doesn't crash. Also inject a scatter_ stub into torch.ops.c10d if it's missing. |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||