1. 08 Jun, 2022 1 commit
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  11. 26 May, 2022 1 commit
  12. 25 May, 2022 4 commits
    • Zaida Zhou's avatar
      Fix lint (#1984) · 05bdd162
      Zaida Zhou authored
      05bdd162
    • Zaida Zhou's avatar
      bump version to v1.5.2 (#1979) · 4ea914ed
      Zaida Zhou authored
      4ea914ed
    • Wencheng Wu's avatar
      [Fix] Fix the problem that the instance cannot reuse when overwriting the file client. (#1747) · cb781ae4
      Wencheng Wu authored
      * [Fix] Fix the problem that the instance cannot reuse when overwriting the file client.
      
      * Remove _overridden_backends and _overridden_prefixes, and pop the old instance when overwriting the file client.
      
      * add unittest
      
      * fix prefix error
      
      * modify clear_backend to overridden_backend
      
      * Delete redundant comments.
      cb781ae4
    • wlf-darkmatter's avatar
      Imporve ability to view usage data during training (#1940) · 544a6b14
      wlf-darkmatter authored
      * Imporve ability to view usage data during training
      
      The wrong labeling of the dataset may cause problems such as gradient explosion during the training process. The wrong labeling can be found by setting up a hook function.
      **Problem**: However, when a for loop is used to traverse the iterator of the pytorch `DataLoader` class, the hook cannot obtain the information of the currently read image, and thus cannot determine the source of the error.
      **Solution**: Load the data_batch information into the `runner` during the train process, and then pass it to the hook function to solve the problem.
      
      * Update epoch_based_runner.py
      
      * Update iter_based_runner.py
      
      * strict the scope of runner.data_batch
      
      * strict the scope of runner.data_batch
      
      * strict the scope of runner.data_batch
      544a6b14