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fix(platform): stub torch.distributed._symmetric_memory for torch < 2.8 #434

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fix(platform): stub torch.distributed._symmetric_memory for torch < 2.8 #434

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17 changes: 17 additions & 0 deletions vllm_fl/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,23 @@
_torch.float4_e2m1fn_x2 = _torch.uint8
del _torch

# torch.distributed._symmetric_memory exists only in PyTorch 2.8+.
# vllm.distributed.parallel_state imports it at module level, so vendor
# torch builds < 2.8 (iluvatar corex on 2.7.x) die with ImportError before
# engine start. vllm's later uses of the module are lazy, so an empty
# pre-registered stub suffices to get past the import gate.
import torch.distributed as _torch_distributed
if not hasattr(_torch_distributed, "_symmetric_memory"):
import types as _types
_symm_mem_stub = _types.ModuleType("torch.distributed._symmetric_memory")
sys.modules["torch.distributed._symmetric_memory"] = _symm_mem_stub
# `import torch.distributed._symmetric_memory` resolves via sys.modules
# without setting the parent attribute; mirror it so attribute access
# and from-imports see the module too.
_torch_distributed._symmetric_memory = _symm_mem_stub
del _symm_mem_stub, _types
del _torch_distributed

from vllm_fl.utils import get_op_config as _get_op_config

from . import version as version # PyTorch-style: vllm_fl.version.git_version
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