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Are --image-weights and DDP training still incompatible? #11037
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👋 Hello @shenck0, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
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Bumping because the question was not answered. It appears that DDP and --image-weights run fine together but is there still some sort of foot-gun present in their interaction and if so what is it? |
@shenck0, I apologize for the confusion. You are correct, based on this PR as and as of the current implementation, there are no known issues or incompatibilities with using DDP and Thank you for bringing this to our attention and please let me know if you have any further questions or concerns. |
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In train.py, I found that the assert is made here:
This assert was added by #3275 , and according to #4579, --image-weights can be use with DDP training.
I comment out this assert line and found dataset.indices modified at every epoch beginning can be broadcast to other processes correctly.
Are --image-weights and DDP training still incompatible now?
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