wandb

🐛 Bug Fix

• Fix regression introduced in 0.12.2 causing network access when WANDB_MODE=offline

Full Changelog: https://github.com/wandb/client/compare/v0.12.3...v0.12.4

🐛 Bug Fix

• Fixes the grid search stopping condition in the local controller

💅 Enhancement

• New jupyter magic for displaying runs, sweeps, and projects %wandb path/to/run -h 1024
• We no longer display run iframe by default in jupyter, add %%wandb to a cell to display a run
• Makes api key prompting retry indefinitely on malformed input
• Invite users to teams via the api api.team("team_name").invite("username_or_email")
• Remove users from a team via the api api.team("team_name").members[0].delete()
• Create service accounts via the api api.team("team_name").create_service_account("Description")
• Manage api keys via the api api.user("username_or_email").generate_api_key()
• Add pytorch profiling trace support with wandb.profiler.torch_trace_handler()

🐛 Bug Fix

• Fix tensorboard_sync to handle ephemeral Sagemaker tfevents files
• Fix Reports query from the public api (broken pagination and report path)
• Fix wandb.login() when relogin is specified (only force login once)

💅 Enhancement

• Clean up footer output of summary and history metrics
• Clean up error message from wandb sweep --update
• Add warning for wandb local users to update their docker
• Add optional argument log_learning_curve to wandb.sklearn.plot_classifier()
• Restore frozen pip package versions when using wandb launch
• Add support for jupyter notebooks in launch
• Add wandb.login() timeout option

🐛 Bug Fix

• Fix tensorflow/keras 2.6 not logging validation examples
• Fix metrics logged through tensorboard not supporting time on x-axis
• Fix WANDB_IGNORE_GLOBS environment variable handling
• Fix handling when sys.stdout is configured to a custom logger
• Fix sklearn feature importance plots not matching feature names properly
• Fix an issue where colab urls were not being captured
• Save program commandline if run executable was outside cwd

💅 Enhancement

• Add Prodigy integration to upload annotated datasets to W&B Tables
• Add initial Metaflow support
• Add experimental wandb launch support
• Add warnings that public API requests are timing out and allow override
• Improve error handling in local controller sweeps engine

⌛ No Longer Supported

• Remove Python 3.5 support

🐛 Bug Fix

• Fix issue that could cause artifact uploads to fail if artifact files are being modified
• Fix issue where wandb.restore() wouldn't work with runs from a sweep

💅 Enhancement

• Improve run execution time calculation

🐛 Bug Fix

• Restore vendored graphql-core library because of network regression

⌛ Deprecated

• Python 3.5 will not be supported as of wandb==0.12.0

🐛 Bug Fix

• Reduce Memory Footprint of Images In Tables
• Added a dependency on graphql-core>=2.3.0
• Removed urllib3 pin to avoid conflicts, if you see urllib3 related errors run pip install --upgrade urllib3
• Improved Public API HTTP error messages
• Set run.dir to the generated directory name in disabled mode

💅 Enhancement

• Adds support for native Jax array logging
• Tables now support Molecule data type
• Improve Stable-Baselines3 API by auto log model's name and always upload models at the end of training
• Implements the sweep local controller using wandb/sweeps

⌛ No Longer Supported

• Remove Python 2.7 support

🐛 Bug Fix

• Fix issue where wandb.watch() broke model saving in pytorch
• Fix issue where uniform sweep parameters were parsed as int_uniform
• Fix issue where file_stream thread was killed on 4xx errors

💅 Enhancement

• Improve performance of artifact logging by making it non-blocking
• Add wandb integration for Stable-Baselines3
• Improve keras callback validation logging inference logic
• Expose sweep state via the public API
• Improve performance of sweep run fetches via the API

🐛 Bug Fix

• Fix issue where wandb restore 404ed if the run did not have a diff.patch file
• Fix issue where wandb.log raised an Exception after trying to log a pandas dataframe
• Fix issue where runs could be marked finished before files were finished uploading

💅 Enhancement

• Disable reloading of run metadata (such as command) in resumed runs
• Allow logging of pandas dataframes by automatically converting them to W&B tables
• Fix up log_code() exclude fn to handle .wandb dir
• Improve handling of PyTorch model topology
• Increase config debounce interval to 30s to reduce load on WB/backend
• Improve reliability of CLI in generating sweeps with names, programs, and settings