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avoid nvshmem symm-mem backend #1750

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Merged
shunting314 merged 1 commit into from
Mar 25, 2026
Merged

avoid nvshmem symm-mem backend #1750

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2 changes: 0 additions & 2 deletions examples/distributed/all_reduce.py
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Expand Up @@ -240,8 +240,6 @@ def main() -> None:
Sets up the distributed environment, initializes CUDA devices, and runs the
all-reduce test, and then clean up.
"""
# Only NVSHMEM backend implements `get_remote_tensor` for now.
symm_mem.set_backend("NVSHMEM")
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@yf225 yf225 Mar 19, 2026

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curious should we explicitly set it to "cuda"?

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@shunting314 shunting314 Mar 19, 2026

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I think that's the default already

rank = int(os.environ["LOCAL_RANK"])
torch.manual_seed(42 + rank)
device = torch.device(f"cuda:{rank}")
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1 change: 0 additions & 1 deletion examples/distributed/allreduce_bias_rmsnorm.py
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Expand Up @@ -285,7 +285,6 @@ def test(N: int, D: int, device: torch.device, dtype: torch.dtype) -> None:


def main() -> None:
symm_mem.set_backend("NVSHMEM")
rank = int(os.environ["LOCAL_RANK"])
torch.manual_seed(42 + rank)
device = torch.device(f"cuda:{rank}")
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1 change: 0 additions & 1 deletion examples/distributed/matmul_reduce_scatter.py
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Expand Up @@ -200,7 +200,6 @@ def test(M: int, N: int, K: int, device: torch.device, dtype: torch.dtype) -> No


def main() -> None:
symm_mem.set_backend("NVSHMEM")
rank = int(os.environ["LOCAL_RANK"])
torch.manual_seed(42 + rank)
device = torch.device(f"cuda:{rank}")
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