Comments (2)
Hi, I did not write resume in "city_lw" branch. You can insert code to load state dict after creating the model in train.py, like https://pytorch.org/tutorials/beginner/saving_loading_models.html. (PS, I'm not familiar with loading state in distributed mode, but I suppose it's similar to a centralized scenario)
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Thanks for the quick reply! I will check it out.
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Related Issues (20)
- Some question about pascal voc test set HOT 1
- 关于arxiv论文 HOT 1
- Compile Errors HOT 5
- pretrained model in google driver untar failed HOT 2
- Can I run the code in one GPU? HOT 4
- C++ Api HOT 1
- Functionality difference between pytorch batchnorm and synchronised batchnorm HOT 3
- Bad results on custom training data HOT 4
- TypeError: __init__() got an unexpected keyword argument 'find_unused_parameters' HOT 1
- Tips for better training HOT 2
- RuntimeError: storage has wrong size: expected -4885659930368473377 got 589824 HOT 1
- ImportError: No module named 'inplace_abn' HOT 5
- Which Nvidia GPU card do you use for training? HOT 2
- Get the confidence of the segmented class during test tme HOT 4
- What is the License for this repo? HOT 1
- RuntimeError: ONNX export failed: Couldn't export Python operator InPlaceABNSync
- 关于论文中对Cityscapes的测试结果 HOT 3
- import encoding issue : note: template argument deduction/substitution failed:\nninja: build stopped: subcommand failed.\n" HOT 1
- About data augmentation HOT 1
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