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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: 2.0.1
- Python version: 3.10.10
- Operating System: macOS-13.3.1 M1 Pro
- Torch.backends.mps.is_available(): True
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### Expected behavio…
erl61 updated
2 months ago
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Would you please add the reference for the implementation details of the attention layer?
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chmod +x tools/dist_train.sh
# sample command for pre-training, use AMP for mixed-precision training
./tools/dist_train.sh configs/pretrain/yolo_world_l_t2i_bn_2e-4_100e_4x8gpus_obj365v1_goldg_train…
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_Discussed with Leon-Friedrich Thomas (@thomaslfEO)._
Here is a tutorial explaining, how to wrap a torch model, to make it behave like a Scikit-Learn model:
https://machinelearningmastery.com/use-…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no simi…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Currently, I am saving the model using the following:
`torch.save(prompt_model.state_dict(), PATH)`
How can we load this back to test performance on other data? Pytorch tutorial says to use the fo…
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I want to know how to train this model in parallel?
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# DARTS: Differentiable Architecture Search Tutorial
1. NAS 에 대한 전반적인 소개
2. 리뷰할 논문
- 여러 NAS 논문들을 간단히 소개하고, DARTS: Differentiable Architecture Search 논문을 자세히 소개
- Liu, Hanxiao, Karen Simo…