fix: bypass gloo DDP for Windows single-GPU training#2744
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fanfan-love-meatmeat wants to merge 2 commits intoRVC-Boss:mainfrom
Open
fix: bypass gloo DDP for Windows single-GPU training#2744fanfan-love-meatmeat wants to merge 2 commits intoRVC-Boss:mainfrom
fanfan-love-meatmeat wants to merge 2 commits intoRVC-Boss:mainfrom
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On Windows with a single GPU, dist.init_process_group() using the gloo backend frequently fails with 'unsupported gloo device', caused by virtual network adapters (VPN, VMware, Hyper-V, etc.). Changes: - s2_train.py: skip dist.init_process_group() on Windows single-GPU; add DummyDDP wrapper to maintain .module interface compatibility - s1_train.py: set USE_LIBUV=0 to avoid socket conflicts; use strategy='auto' for single-GPU (bypasses gloo entirely), DDPStrategy only activated for multi-GPU setups - utils.py, bucket_sampler.py: related compatibility adjustments Tested on: Windows 11, single NVIDIA GPU, Python 3.10, PyTorch 2.5
…train_v3_lora Extend the fix to v3 and LoRA training scripts: - s2_train_v3.py: skip dist.init_process_group() + DummyDDP for Windows single-GPU - s2_train_v3_lora.py: same fix applied to LoRA fine-tuning script
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Problem
On Windows with a single GPU,
dist.init_process_group()using thegloobackend fails with:RuntimeError: unsupported gloo device
This is caused by virtual network adapters (VPN, VMware, Hyper-V, etc.) interfering with gloo's network interface detection.
Solution
Skip DDP initialization entirely for Windows single-GPU setups, rather than patching gloo environment variables.
Changes
dist.init_process_group()on Windows single-GPU; addDummyDDPwrapper to maintain.moduleinterface compatibilityUSE_LIBUV=0to avoid socket conflicts; usestrategy='auto'for single-GPU (bypasses gloo entirely)Tested on