Comments (1)
qiqiqi733
commented on July 29, 2024
你好，我也遇到了同
你好，我代码流程按照readme一步步来，但是最后报错，维度不匹配，请问是什么原因造成的，有什么解决办法吗？ 2023-04-15 02:09:51 epoch 0/353, processed 0 samples, lr 0.000033 THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=383 error=11 : invalid argument /opt/conda/lib/python3.6/site-packages/torch/nn/_reduction.py:46: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead. warnings.warn(warning.format(ret)) Traceback (most recent call last): File "tool/train_decoupling_disturbance.py", line 405, in train(epoch,repeat_time,mask_ratio) File "tool/train_decoupling_disturbance.py", line 286, in train loss = region_loss(output, target, dynamic_weights, target_cls_ids) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in call result = self.forward(_input, **kwargs) File "/code/2023/CME/core/region_loss.py", line 417, in forward cls = cls.view(bs, cs, nA_nC_nH_nW).transpose(1,2).contiguous().view(bs_nA_nC_nH_nW, cs) RuntimeError: shape '[64, 15, 845]' is invalid for input of size 1622400
你好，我也如此，请问您解决了吗
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Related Issues (20)
- Questions about model size HOT 1
- Questions about nGPU
- Hi Can you provide the t-SNE code？ HOT 2
- 能否共享一下t-SNE的代码?并分享一下如何使用。感谢 HOT 2
- Some question about MPSR baseline HOT 4
- About the process datasets
- How many GPUs will be used for training the code? HOT 9
- Feature disturbance applied on both base&novel? HOT 1
- Question about .weights HOT 2
- About the category and confidence after the test
- 前辈 检测结果图中显示类别求指教！
- How long is the model trained by using two Nvidia Tesla V100 GPUs as mentioned in the paper and the github issue?
- occur the NAN when training the Net using the pascal voc HOT 2
- How to change the framework from Yolo to Faster R-CNN ? HOT 1
- Where is the code for 'Feature disturbance'
- RuntimeError: shape ‘[30, 5, 6, 13, 13]’ is invalid for input of size 5070 HOT 3
- ModuleNotFoundError: No module named 'core'
- As the training time increases, Proposals=0, is this normal?
- Problem：Get result If you want to get the result of model, run:
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