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Dear All,
I would like to run ALIGNN on multi GPUs. When I checked the code I could not find any option.
Is there any method to run ALIGNN on multi GPUs such as using PyTorch Lightning or DDP fu…
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I run the training like below, but throught out an Erro: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED .
torchrun --num_processes 1 train_network.py \
--pretrained_model_name_or_path=/aigc2/liutl/m…
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Hi, I was prompt tuning "glip_large_model.pth" with the following commands:
`python -m torch.distributed.launch --nproc_per_node=1 tools/finetune.py \
--config-file configs/pretrain/glip_Swin_…
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Datasets are rarely available with the same resolution as we need in Euro-Calliope layers. Instead, we distribute e.g. national data to sub-national regions using datasets like population. There is mu…
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I made the following modifications to \_base\_ in config.py to expect to train on the VOC dataset:
\_base\_ = [
'mmdet::\_base\_/datasets/voc0712.py',
'mmdet::\_base\_/schedules/schedule_1x…
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loading annotations into memory...
Traceback (most recent call last):
File "/sdb/liuhaolin/anaconda3/envs/pseco/lib/python3.8/site-packages/mmcv/utils/registry.py", line 52, in build_from_cfg
…
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#### Problem description
I'd be curious to get opinions on whether serialization/deserialization should be supported for the file-like objects at the core of this library. This would be useful for …
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### Bug description
I guess the following issues are related to each other:
1. Superset regularly crashes with the `error: sqlalchemy.exc.TimeoutError: QueuePool limit of size 5 overflow 10 reache…
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Hi Dask! I'm working on scaling XGBoost with Dask to larger datasets, one of the issues I encountered is this warning:
```
2023-04-08 02:03:01,840 - distributed.worker.memory - WARNING - Unmanaged…