Wandb

:bug: Bug Fix

- entity is persisted on wandb.run when queried from the server
- tmp files always use the temporary directory to avoid syncing
- raise error if file shrinks while uploading
- images log properly in windows
- upgraded pyyaml requirement to address CVE
- no longer store a history of rows to prevent memory leak

:nail_care: Enhancement

- summary now supports new dataframe format
- WANDB_SILENT environment variable writes all wandb messages to debug.log
- Improved error messages for windows and tensorboard logging
- output.log is uploaded at the end of each run
- metadata, requirements, and patches are uploaded at the beginning of a run
- when not running from a git repository, store the main python file
- added WANDB_DISABLE_CODE to prevent diffing and code saving
- when running in jupyter store the name of the notebook
- auto-login support for colab
- store url to colab notebook
- store the version of this library in config
- store sys.executable in metadata
- fastai callback no longer requires path
- wandb.init now accepts a notes argument
- The cli replaced the message argument with notes and name

:bug: Bug Fix

- wandb sync handles tensorboard embeddings
- wandb sync correctly handles images in tensorboard
- tf.keras correctly handles single input functional models
- wandb.Api().runs returns an iterator that's reusable
- WANDB_DIR within a hidden directory doesn't prevent syncing
- run.files() iterates over all files
- pytorch recursion too deep error

:nail_care: Enhancement

- wandb sync accepts an --ignore argument with globs to skip files
- run.summary now has an items() method for iterating over all keys

:bug: Bug Fix

- Better error messages on access denied
- Better error messages when optional packages aren't installed
- Urls printed to the terminal are url-escaped
- Namespaced tensorboard events work with histograms
- Public API now retries on failures and re-uses connection pool
- Catch git errors when remotes aren't pushed to origin
- Moved keras graph collection to on_train_begin to handle unbuilt models
- Handle more cases of not being able to save weights
- Updates to summary after resuming are persisted
- PyTorch histc logging fixed in 0.4.1
- Fixed `wandb sync` tensorboard import

:nail_care: Enhancement

- wandb.init(tensorboard=True) works with Tensorflow 2 and Eager Execution
- wandb.init(tensorboard=True) now works with tb-nightly and PyTorch
- Automatically log examples with tf.keras by adding missing validation_data
- Socket only binds to localhost for improved security and prevents firewall warnings in OSX
- Added user object to public api for getting the source user
- Added run.display_name to the public api
- Show display name in console output
- Added --tags, --job_group, and --job_type to `wandb run`
- Added environment variable for minimum time to run before considering crashed
- Added flake8 tests to CI, thanks cclauss!

:bug: Bug Fix

- wandb-docker-run accepts image digests
- keras callback works in tensorflow2-alpha0
- keras model graph now puts input layer first

:nail_care: Enhancement

- PyTorch log frequency added for gradients and weights
- PyTorch logging performance enhancements
- wandb.init now accepts a name parameter for naming runs
- wandb.run.name reflects custom display names
- Improvements to nested summary values
- Deprecated wandb.Table.add_row in favor of wandb.Table.add_data
- Initial support for a fast.ai callback thanks to borisdayma!

:bug: Bug Fix

- run.get_url resolves the default entity if one wasn't specified
- wandb restore accepts run paths with only slashes
- Fixed PyYaml deprecation warnings
- Added entrypoint shell script to manifest
- Strip newlines from cuda version

:bug: Bug Fix

- handle case insensitive docker credentials
- fix app_url for private cloud login flow
- don't retry 404's when starting sweep agents