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Multi-gpu training problem #6
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I tried to use the official MMengine distributed training command, but it reported an error.
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I found the solution by adding |
Yes, you are right! I will update this soon. |
Using TORCH_DISTRIBUTED_DEBUG=DETAIL, you can find these unmatched grad and debug it. If using find_unused_parameters = True, whether increasing training time? |
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This is a good paper and very interested idea! There is a training cmd using a single gpu in readme. For multi-gpus training, could you provide the corresponding cmd ?
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