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okdhp's Introduction

I'm Zheng Li（李政）

🏫 I am a PhD student at Nankai University, advised by Prof. Xiang Li and Prof. Jian Yang.

💻︎ I am also a research intern at DAMO Academy, Alibaba Group.

🖋️ My research interest mainly focuses on Efficient Model Computing (PEFT and KD).

📄 My recent works:

  • [CVPR 24] PromptKD: Unsupervised Prompt Distillation for Vision-Language Models. [Paper] [Code]
  • [PR 24] DTSKD: Dual Teachers for Self-Knowledge Distillation. [Paper]
  • [AAAI 23] CTKD: Curriculum Temperature for Knowledge Distillation. [Paper] [Code]

🏠️ [Home Page] [Google Scholar]

📧 zhengli97[at]{qq.com, mail.nankai.edu.cn}

okdhp's People

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okdhp's Issues

請問 branch0 結果

您好
單純用 hg_template.yaml 訓練
印出來的結果中有 branch0, 1, 2, 3
想請問 branch0 代表的是論文中前兩個 share stacks 對嗎?
如果是的話，另外想請問 branch0 的 acc 始終高於後面的三個 branches，這樣的結果是正常的嗎?
謝謝

Unable to train? 

Traceback (most recent call last):
  File "tools/train.py", line 225, in <module>
    main()
  File "tools/train.py", line 182, in main
    train(cfg, train_loader, model, criterion, criterion_kd, consistency_weight, kd_weight, ens_weight,
  File "/home/OKDHP/tools/../lib/core/function_okd.py", line 59, in train
    loss.backward()
  File "/home/miniconda3/envs/mm/lib/python3.8/site-packages/torch/_tensor.py", line 307, in backward
    torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
  File "/home/miniconda3/envs/mm/lib/python3.8/site-packages/torch/autograd/__init__.py", line 154, in backward
    Variable._execution_engine.run_backward(
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [16, 256, 64, 64]], which is output 0 of ReluBackward0, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

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