Fix Context Parallelism doc #12631
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Fix Context Parallelism doc #12631
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sayakpaul
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Nov 11, 2025
| torch.cuda.set_device(device) | ||
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| transformer = AutoModel.from_pretrained("Qwen/Qwen-Image", subfolder="transformer", torch_dtype=torch.bfloat16, parallel_config=ContextParallelConfig(ring_degree=2)) | ||
| transformer = AutoModel.from_pretrained("Qwen/Qwen-Image", subfolder="transformer", torch_dtype=torch.bfloat16, parallel_config=ContextParallelConfig(ring_degree=2), device_map="cuda") |
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There's device_map="cuda" just in the pipeline loading code. Is that not enough?
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yes, error will occur without device_map
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So is it a desired behavior?
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Yeah it should be because CP relies on a compatible device.
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What does this PR do?
Fix error in Context Parallelism doc
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@yiyixuxu @sayakpaul
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Use origin code in the CP doc, error will occur on A100-PCIE-80G with nvcr.io/nvidia/pytorch:25.10-py3
After the fix, code can run correcly
