Standard release

Added

• The following packaes were added to MLDev:

  • gym==0.18.0
  • pytorch-lightning-bolts==0.3.0
  • timm==0.3.4
  • ray[serve]==1.1.0
  • pipdeptree==2.0.0

• New copy_file_to_s3 and copy_fileobj_to_s3 functions in pytorch_hyperlight.utils.request_utils package

Changed

• Improved face_image_classification_gender_vit_vs_efficientnet.ipynb by using data augmentation based Albumentations library,
  added class imbalance plotting and displaying sample images, number of trials for each model is reduced down to 1
• Default number of checkpoints kept by PyTorch-Hyperlight in a single-trial model is reduced down to 2
• Many packages in MLDev has been updated:
  • scikit-learn==0.24.1
  • pandas==1.2.1
  • numpy==1.20.0
  • pip==21.0.1
  • ipython==7.20.0
  • matplotlib==3.3.4
  • tqdm==4.55.1
  • captum==0.3.1
  • xeus-python==0.10.2
  • tensorboard==2.4.1
  • papermill==2.3.1
  • scikit-image==0.18.1
  • notebook==6.2.0
  • jupyterlab==3.0.6
  • jupyterlab-lsp==3.3.0
  • jupyterlab_code_formatter==1.4.3
  • ipympl==0.6.3
  • pytorch-lightning==1.1.6
  • boto3==1.16.63
  • psutil==5.8.0
  • transformers==4.2.2
  • wandb==0.10.17
  • pytest==6.2.2
  • coverage==5.4
• The following packages were downgraded
  • pillow==7.2.0 # because gym package requires the older version

Deprecated

Removed

• The following packages were temporarily remoted from MLDev
  • datasets (as it requires tqdm<4.50)

Fixed

• Classifier head was not trained in face_image_classification_gender_vit_vs_efficientnet.ipynb example due to the incorrect classifier
  head paramter names
• Checkpoint file names in 'singe-trial' mode contain confusing prefix and a value of val_loss of the last epoch step.
  This is fixed by reverting back to the checkpoint naming scheme used by PyTorch Lightning by default.
• check_if_rogue_jupyterlab_is_installed.sh script in MLDev silently crashes when JupyterLab version doesn't match the expected version