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0.10.2 (September 20, 2020)

💅 Enhancement

  • Added upload_file to API
  • wandb.finish() can be called without matching wandb.init()

🐛 Bug Fix

  • Fix issue where files were being logged to wrong parallel runs
  • Fix missing properties/methods -- as_dict(), sweep_id
  • Fix wandb.summary.update() not updating all keys
  • Code saving was not properly enabled based on UI settings
  • Tensorboard now logging images before end of program
  • Fix resume issues dealing with config and summary metrics

0.10.1 (September 16, 2020)

💅 Enhancement

  • Added sync_tensorboard ability to handle S3 and GCS files
  • Added ability to specify host with login
  • Improved artifact API to allow modifying attributes

🐛 Bug Fix

  • Fix codesaving to respect the server settings
  • Fix issue runing wandb.init() on restricted networks
  • Fix issue where we were ignoring settings changes
  • Fix artifact download issues

0.10.0 (September 11, 2020)

💅 Enhancement

  • Added history sparklines at end of run
  • Artifact improvements and API for linking
  • Improved offline support and syncing
  • Basic noop mode support to simplify testing
  • Improved windows/pycharm support
  • Run object has more modifiable properties
  • Public API supports attaching artifacts to historic runs

🐛 Bug Fix

  • Many bugs fixed due to simplifying logic

0.9.7 (September 8, 2020)

💅 Enhancement

  • New sacred observer available at wandb.sacred.WandbObserver
  • Improved artifact reference tracking for HTTP urls

🐛 Bug Fix

  • Print meaningful error message when runs are queried with summary instead of summary_metrics

0.9.6 (August 28, 2020)

💅 Enhancement

  • Sub paths of artifacts now expose an optional root directory argument to download()
  • Artifact.new_file accepts an optional mode argument
  • Removed legacy fastai docs as we're now packaged with fastai v2!

🐛 Bug Fix

  • Fix yaml parsing error handling logic
  • Bad spelling in torch docstring, thanks @mkkb473

0.9.5 (August 17, 2020)

💅 Enhancement

  • Remove unused y_probas in sklearn plots, thanks @dreamflasher
  • New deletion apis for artifacts

🐛 Bug Fix

  • Fix wandb restore when not logged in
  • Fix artifact download paths on Windows
  • Retry 408 errors on upload
  • Fix mask numeric types, thanks @numpee
  • Fix artifact reference naming mixup

0.9.4 (July 24, 2020)

💅 Enhancement

  • Default pytorch histogram logging frequency from 100 -> 1000 steps

🐛 Bug Fix

  • Fix multiple prompts for login when using the command line
  • Fix "no method rename_file" error
  • Fixed edgecase histogram calculation in PyTorch
  • Fix error in jupyter when saving session history
  • Correctly return artifact metadata in public api
  • Fix matplotlib / plotly rendering error

0.9.3 (July 10, 2020)

💅 Enhancement

  • New artifact cli commands!
wandb artifact put path_file_or_ref
wandb artifact get artifact:version
wandb artifact ls project_name
  • New artifact api commands!
wandb.log_artifact()
wandb.use_artifact()
wandb.Api().artifact_versions()
wandb.Api().run.used_artifacts()
wandb.Api().run.logged_artifacts()
wandb.Api().Artifact().file()
  • Improved syncing of large wandb-history.jsonl files for wandb sync
  • New Artifact.verify method to ensure the integrity of local artifacts
  • Better testing harness for api commands
  • Run directory now store local time instead of utc time in the name, thanks @aiyolo!
  • Improvements to our doc strings across the board.
  • wandb.Table now supports a dataframe argument for logging dataframes as tables!

🐛 Bug Fix

  • Artifacts work in python2
  • Artifacts default download locations work in Windows
  • GCS references now properly cache / download, thanks @yoks!
  • Fix encoding of numpy arrays to JSON
  • Fix string comparison error message

0.9.2 (June 29, 2020)

💅 Enhancement

  • Major overhaul of artifact caching
  • Configurable cache directory for artifacts
  • Configurable download directory for artifacts
  • New Artifact.verify method to ensure the integrity of local artifacts
  • use_artifact no longer requires type
  • Deleted artifacts can now be be recommitted
  • Lidar scenes now support vectors

🐛 Bug Fix

  • Fix issue with artifact downloads returning errors.
  • Segmentation masks now handle non-unint8 data
  • Fixed path parsing logic in api.runs()

0.9.1 (June 9, 2020)

🐛 Bug Fix

  • Fix issue where files were always logged to latest run in a project.
  • Fix issue where url was not display url on first call to wandb.init

0.9.0 (June 5, 2020)

🐛 Bug Fix

  • Handle multiple inits in Jupyter
  • Handle ValueError's when capturing signals, thanks @jsbroks
  • wandb agent handles rate limiting properly

💅 Enhancement

  • wandb.Artifact is now generally available!
  • feature_importances now supports CatBoost, thanks @neomatrix369

0.8.36 (May 11, 2020)

🐛 Bug Fix

  • Catch all exceptions when saving Jupyter sessions
  • validation_data automatically set in TF >= 2.2
  • implements* hooks now implemented in keras callback for TF >= 2.2

💅 Enhancement

  • Raw source code saving now disabled by default
  • We now support global settings on boot to enable code saving on the server
  • New code_save=True argument to wandb.init to enable code saving manually

0.8.35 (May 1, 2020)

🐛 Bug Fix

  • Ensure cells don't hang on completion
  • Fixed jupyter integration in PyCharm shells
  • Made session history saving handle None metadata in outputs

0.8.34 (Apr 28, 2020)

💅 Enhancement

  • Save session history in jupyter notebooks
  • Kaggle internet enable notification
  • Extend wandb.plots.feature_importances to work with more model types, thanks @neomatrix369!

🐛 Bug Fix

  • Code saving for jupyter notebooks restored
  • Fixed thread errors in jupyter
  • Ensure final history rows aren't dropped in jupyter

0.8.33 (Apr 24, 2020)

💅 Enhancement

  • Add default class labels for semantic segmentation
  • Enhance bounding box API to be similar to semantic segmentation API

🐛 Bug Fix

  • Increase media table rows to improve ROC/PR curve logging
  • Fix issue where pre binned histograms were not being handled properly
  • Handle nan values in pytorch histograms
  • Fix handling of binary image masks

0.8.32 (Apr 14, 2020)

💅 Enhancement

  • Improve semantic segmentation image mask logging

0.8.31 (Mar 19, 2020)

💅 Enhancement

  • Close all open files to avoice ResourceWarnings, thanks @CrafterKolyan!

🐛 Bug Fix

  • Parse "tensor" protobufs, fixing issues with tensorboard syncing in 2.1

0.8.30 (Mar 19, 2020)

💅 Enhancement

  • Add ROC, precision_recall, HeatMap, explainText, POS, and NER to wandb.plots
  • Add wandb.Molecule() logging
  • Capture kaggle runs for metrics
  • Add ability to watch from run object

🐛 Bug Fix

  • Avoid accidently picking up global debugging logs

0.8.29 (Mar 5, 2020)

💅 Enhancement

  • Improve bounding box annotations
  • Log active GPU system metrics
  • Only writing wandb/settings file if wandb init is called
  • Improvements to wandb local command

🐛 Bug Fix

  • Fix GPU logging on some devices without power metrics
  • Fix sweep config command handling
  • Fix tensorflow string logging

0.8.28 (Feb 21, 2020)

💅 Enhancement

  • Added code saving of main python module
  • Added ability to specify metadata for bounding boxes and segmentation masks

🐛 Bug Fix

  • Fix situations where uncommited data from wandb.log() is not persisted

0.8.27 (Feb 11, 2020)

🐛 Bug Fix

  • Fix dependency conflict with new versions of six package

0.8.26 (Feb 10, 2020)

💅 Enhancement

  • Add best metric and epoch to run summary with Keras callback
  • Added wandb.run.config_static for environments required pickled config

🐛 Bug Fix

  • Fixed regression causing failures with wandb.watch() and DataParallel
  • Improved compatibility with python 3.8
  • Fix model logging under windows

0.8.25 (Feb 4, 2020)

🐛 Bug Fix

  • Fix exception when using wandb.watch() in a notebook
  • Improve support for sparse tensor gradient logging on GPUs

0.8.24 (Feb 3, 2020)

🐛 Bug Fix

  • Relax version dependancy for PyYAML for users with old environments

0.8.23 (Feb 3, 2020)

💅 Enhancement

  • Added scikit-learn support
  • Added ability to specify/exclude specific keys when building wandb.config

🐛 Bug Fix

  • Fix wandb.watch() on sparse tensors
  • Fix incompatibilty with ray 0.8.1
  • Fix missing pyyaml requirement
  • Fix "W&B process failed to launch" problems
  • Improved ability to log large model graphs and plots

0.8.22 (Jan 24, 2020)

💅 Enhancement

  • Added ability to configure agent commandline from sweep config

🐛 Bug Fix

  • Fix fast.ai prediction logging
  • Fix logging of eager tensorflow tensors
  • Fix jupyter issues with logging notebook name and wandb.watch()

0.8.21 (Jan 15, 2020)

💅 Enhancement

  • Ignore wandb.init() specified project and entity when running a sweep

🐛 Bug Fix

  • Fix agent "flapping" detection
  • Fix local controller not starting when sweep is pending

0.8.20 (Jan 10, 2020)

💅 Enhancement

  • Added support for LightGBM
  • Added local board support (Experimental)
  • Added ability to modify sweep configuration
  • Added GPU power logging to system metrics

🐛 Bug Fix

  • Prevent sweep agent from failing continously when misconfigured

0.8.19 (Dec 18, 2019)

💅 Enhancement

  • Added beta support for ray/tune hyperopt search strategy
  • Added ability to specify max runs per agent
  • Improve experience starting a sweep without a project already created

🐛 Bug Fix

  • Fix repeated wandb.Api().Run(id).scan_history() calls get updated data
  • Fix early_terminate/hyperband in notebook/python environments

0.8.18 (Dec 4, 2019)

💅 Enhancement

  • Added min_step and max_step to run.scan_history for grabbing sub-sections of metrics
  • wandb.init(reinit=True) now automatically calls wandb.join() to better support multiple runs per process

🐛 Bug Fix

  • wandb.init(sync_tensorboard=True) works again for TensorFlow 2.0

0.8.17 (Dec 2, 2019)

💅 Enhancement

  • Handle tags being passed in as a string

🐛 Bug Fix

  • Pin graphql-core < 3.0.0 to fix install errors
  • TQDM progress bars update logs properly
  • Oversized summary or history logs are now dropped which prevents retry hanging

0.8.16 (Nov 21, 2019)

🐛 Bug Fix

  • Fix regression syncing some versions of Tensorboard since 0.8.13
  • Fix network error in Jupyter

0.8.15 (Nov 5, 2019)

🐛 Bug Fix

  • Fix calling wandb.init with sync_tensorboard multiple times in Jupyter
  • Fix RuntimeError race when using threads and calling wandb.log
  • Don't initialize Sentry when error reporting is disabled

💅 Enhancement

  • Added best_run() to wandb.sweep() public Api objects
  • Remove internal tracking keys from wandb.config objects in the public Api

0.8.14 (Nov 1, 2019)

🐛 Bug Fix

  • Improve large object warning when values reach maximum size
  • Warn when wandb.save isn't passed a string
  • Run stopping from the UI works since regressing in 0.8.12
  • Restoring a file that already exists locally works
  • Fixed TensorBoard incorrectly placing some keys in the wrong step since 0.8.10
  • wandb.Video only accepts uint8 instead of incorrectly converting to floats
  • SageMaker environment detection is now more robust
  • Resuming correctly populates config
  • wandb.restore respects root when run.dir is set #658
  • Calling wandb.watch multiple times properly namespaces histograms and graphs

💅 Enhancement

  • Sweeps now work in Windows!
  • Added sweep attribute to Run in the public api
  • Added sweep link to Jupyter and terminal output
  • TensorBoard logging now stores proper timestamps when importing historic results
  • TensorBoard logging now supports configuring rate_limits and filtering event types
  • Use simple output mirroring stdout doesn't have a file descriptor
  • Write wandb meta files to the system temp directory if the local directory isn't writable
  • Added beta api.reports to the public API
  • Added wandb.unwatch to remove hooks from pytorch models
  • Store the framework used in config._wandb

0.8.13 (Oct 15, 2019)

🐛 Bug Fix

  • Create nested directory when videos are logged from tensorboard namespaces
  • Fix race when using wandb.log async=True
  • run.summary acts like a proper dictionary
  • run.summary sub dictionaries properly render
  • handle None when passing class_colors for segmentation masks
  • handle tensorflow2 not having a SessionHook
  • properly escape args in windows
  • fix hanging login when in anonymode
  • tf2 keras patch now handles missing callbacks args

💅 Enhancement

  • Updates documentation autogenerated from docstrings in /docs
  • wandb.init(config=config_dict) does not update sweep specified parameters
  • wandb.config object now has a setdefaults method enabling improved sweep support
  • Improved terminal and jupyter message incorporating 🚀 emojii!
  • Allow wandb.watch to be called multiple times on different models
  • Improved support for watching multple tfevent files
  • Windows no longer requires wandb run simply run python script_name.py
  • wandb agent now works on windows.
  • Nice error message when wandb.log is called without a dict
  • Keras callback has a new log_batch_frequency for logging metrics every N batches

0.8.12 (Sep 20, 2019)

🐛 Bug Fix

  • Fix compatibility issue with python 2.7 and old pip dependencies

💅 Enhancement

  • Improved onboarding flow when creating new accounts and entering api_key

0.8.11 (Sep 19, 2019)

🐛 Bug Fix

  • Fix public api returning incorrect data when config value is 0 or False
  • Resumed runs no longer overwrite run names with run id

💅 Enhancement

  • Added recording of spell.run id in config

0.8.10 (Sep 13, 2019)

🐛 Bug Fix

  • wandb magic handles the case of tf.keras and keras being loaded
  • tensorboard logging won't drop steps if multiple loggers have different global_steps
  • keras gradient logging works in the latest tf.keras
  • keras validation_data is properly set in tensorflow 2
  • wandb pull command creates directories if they don't exist, thanks @chmod644
  • file upload batching now asserts a minimum size
  • sweeps works in python2 again
  • scan_history now iterates the full set of points
  • jupyter will run local mode if credentials can't be obtained

💅 Enhancement

  • Sweeps can now be run from within jupyter / directly from python! https://docs.wandb.com/sweeps/python
  • New openai gym integration will automatically log videos, enabled with the monitor_gym keyword argument to wandb.init
  • Ray Tune logging callback in wandb.ray.WandbLogger
  • New global config file in ~/.config/wandb for global settings
  • Added tests for fastai, thanks @borisdayma
  • Public api performance enhancements
  • Deprecated username in favor of enitity in the public api for consistency
  • Anonymous login support enabled by default
  • New wandb.login method to be used in jupyter enabling anonymous logins
  • Better dependency error messages for data frames
  • Initial integration with spell.run
  • All images are now rendered as PNG to avoid JPEG artifacts
  • Public api now has a projects field

0.8.9 (Aug 19, 2019)

🐛 Bug Fix

  • run.summary updates work in jupyter before log is called
  • don't require numpy to be installed
  • Setting nested keys in summary works
  • notebooks in nested directories are properly saved
  • Don't retry 404's / better error messaging from the server
  • Strip leading slashes when loading paths in the public api

💅 Enhancement

  • Small files are batch uploaded as gzipped tarballs
  • TensorBoardX gifs are logged to wandb

0.8.8 (Aug 13, 2019)

🐛 Bug Fix

  • wandb.init properly handles network failures on startup
  • Keras callback only logs examples if data_type or input_type is set
  • Fix edge case PyTorch model logging bug
  • Handle patching tensorboard multiple times in jupyter
  • Sweep picks up config.yaml from the run directory
  • Dataframes handle integer labels
  • Handle invalid JSON when querying jupyter servers

💅 Enhancement

  • fastai uses a fixed seed for example logging
  • increased the max number of images for fastai callback
  • new wandb.Video tag for logging video
  • sync=False argument to wandb.log moves logging to a thread
  • New local sweep controller for custom search logic
  • Anonymous login support for easier onboarding
  • Calling wandb.init multiple times in jupyter doesn't error out

0.8.7 (Aug 7, 2019)

🐛 Bug Fix

  • keras callback no longer guesses input_type for 2D data
  • wandb.Image handles images with 1px height

💅 Enhancement

  • wandb Public API now has run.scan_history to return all history rows
  • wandb.config prints helpful errors if used before calling init
  • wandb.summary prints helpful errors if used before calling init
  • filestream api points to new url on the backend

0.8.6 (July 31, 2019)

🐛 Bug Fix

  • fastai callback uses the default monitor instead of assuming val_loss
  • notebook introspections handles error cases and doesn't print stacktrace on failure
  • Don't print description warning when setting name
  • Fixed dataframe logging error with the keras callback
  • Fixed line offsets in logs when resuming runs
  • wandb.config casts non-builtins before writing to yaml
  • vendored backports.tempfile to address missing package on install

💅 Enhancement

  • Added api.sweep to the python export api for querying sweeps
  • Added WANDB_NOTEBOOK_NAME for specifying the notebook name in cases we can't infer it
  • Added WANDB_HOST to override hostnames
  • Store if a run was run within jupyter
  • Client now supports stopping runs from the web ui
  • Handle floats passed as step to wandb.log
  • wandb.config has full unicode support
  • sync the main file to wandb if code saving is enabled and it's untracked by git
  • XGBoost callback: wandb.xgboost.wandb_callback()

0.8.5 (July 12, 2019)

🐛 Bug Fix

  • Fixed plotly charts with large numpy arrays not rendering
  • wandb docker works when nvidia is present
  • Better error when non string keys are sent to log
  • Relaxed pyyaml dependency to fix AMI installs
  • Magic works in jupyter notebooks.

💅 Enhancement

  • New preview release of auto-dataframes for Keras
  • Added input_type and output_type to the Keras callback for simpler config
  • public api supports retrieving specific keys and custom xaxis

0.8.4 (July 8, 2019)

🐛 Bug Fix

  • WANDB_IGNORE_GLOBS is respected on the final scan of files
  • Unified run.id, run.name, and run.notes across all apis
  • Handle funky terminal sizes when setting up our psuedo tty
  • Fixed Jupyter notebook introspection logic
  • run.summary.update() persists changes to the server
  • tensorboard syncing is robust to invalid histograms and truncated files

💅 Enhancement

  • preview release of magic, calling wandb.init(magic=True) should automatically track config and metrics when possible
  • cli now supports local installs of the backend
  • fastai callback supports logging example images

0.8.3 (June 26, 2019)

🐛 Bug Fix

  • image logging works in Windows
  • wandb sync handles tfevents with a single timestep
  • fix incorrect command in overview page for running runs
  • handle histograms with > 512 bins when streaming tensorboard
  • better error message when calling wandb sync on a file instead of a directory

💅 Enhancement

  • new helper function for handling hyperparameters in sweeps wandb.config.user_items()
  • better mocking for improved testing

0.8.2 (June 20, 2019)

🐛 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

💅 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

0.8.1 (May 23, 2019)

🐛 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 recurssion too deep error

💅 Enhancement

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

0.8.0 (May 17, 2019)

🐛 Bug Fix

  • Better error messages on access denied
  • Better error messages when optional packages aren't installed
  • Urls printed to the termial 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

💅 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!

0.7.3 (April 15, 2019)

🐛 Bug Fix

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

💅 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!

0.7.2 (March 19, 2019)

🐛 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

0.7.1 (March 14, 2019)

🐛 Bug Fix

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

0.7.0 (February 28, 2019)

🐛 Bug Fix

  • ensure DNS lookup failures can't prevent startup
  • centralized debug logging
  • wandb agent waits longer to send a SIGKILL after sending SIGINT

💅 Enhancement

  • support for logging docker images with the WANDB_DOCKER env var
  • WANDB_DOCKER automatically set when run in kubernetes
  • new wandb-docker-run command to automatically set env vars and mount code
  • wandb.restore supports launching docker for runs that ran with it
  • python packages are now recorded and saved in a requirements.txt file
  • cpu_count, gpu_count, gpu, os, and python version stored in wandb-metadata.json
  • the export api now supports docker-like paths, i.e. username/project:run_id
  • better first time user messages and login info

0.6.35 (January 29, 2019)

🐛 Bug Fix

  • Improve error reporting for sweeps

0.6.34 (January 23, 2019)

🐛 Bug Fix

  • fixed Jupyter logging, don't change logger level
  • fixed resuming in Jupyter

💅 Enhancement

  • wandb.init now degrades gracefully if a user hasn't logged in to wandb
  • added a force flag to wandb.init to require a machine to be logged in
  • Tensorboard and TensorboardX logging is now automatically instrumented when enabled
  • added a tensorboard to wandb.init which patches tensorboard for logging
  • wandb.save handles now accepts a base path to files in sub directories
  • wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing
  • wandb sync will now traverse a wandb run directory and sync all runs

0.6.33 (January 22, 2019)

🐛 Bug Fix

  • Fixed race where wandb process could hang at the end of a run

0.6.32 (December 22, 2018)

🐛 Bug Fix

  • Fix resuming in Jupyter on kernel restart
  • wandb.save ensures files are pushed regardless of growth

💅 Enhancement

  • Added replace=True keyword to init for auto-resuming
  • New run.resumed property that can be used to detect if we're resuming
  • New run.step property to use for setting an initial epoch on resuming
  • Made Keras callback save the best model as it improves

0.6.31 (December 20, 2018)

🐛 Bug Fix

  • Really don't require numpy
  • Better error message if wandb.log is called before wandb.init
  • Prevent calling wandb.watch multiple times
  • Handle datetime attributes in logs / plotly

💅 Enhancement

  • Add environment to sweeps
  • Enable tagging in the public API and in wandb.init
  • New media type wandb.Html for logging arbitrary html
  • Add Public api.create_run method for custom integrations
  • Added glob support to wandb.save, files save as they're written to
  • Added wandb.restore for pulling files on resume

0.6.30 (December 6, 2018)

🐛 Bug Fix

  • Added a timeout for generating diffs on large repos
  • Fixed edge case where file syncing could hang
  • Ensure all file changes are captured before exit
  • Handle cases of sys.exit where code isn't passed
  • Don't require numpy

💅 Enhancement

  • New wandb sync command that pushes a local directory to the cloud
  • Support for syncing tfevents file during training
  • Detect when running as TFJob and auto group
  • New Kubeflow module with initial helpers for pipelines

0.6.29 (November 26, 2018)

🐛 Bug Fix

  • Fixed history / summary bug

0.6.28 (November 24, 2018)

💅 Enhancement

  • Initial support for AWS SageMaker
  • hook_torch renamed to watch with a deprecation warning
  • Projects are automatically created if they don't exist
  • Additional GPU memory_allocated metric added
  • Keras Graph stores edges

🐛 Bug Fix

  • PyTorch graph parsing is more robust
  • Fixed PyTorch 0.3 support
  • File download API supports WANDB_API_KEY authentication

0.6.27 (November 13, 2018)

💅 Enhancement

  • Sweeps work with new backend (early release).
  • Summary tracks all history metrics unless they're overridden by directly writing to summary.
  • Files support in data API.

🐛 Bug Fix

  • Show ongoing media file uploads in final upload progress.

0.6.26 (November 9, 2018)

💅 Enhancement

  • wandb.Audio supports duration

🐛 Bug Fix

  • Pass username header in filestream API

0.6.25 (November 8, 2018)

💅 Enhancement

  • New wandb.Audio data type.
  • New step keyword argument when logging metrics
  • Ability to specify run group and job type when calling wandb.init() or via environment variables. This enables automatic grouping of distributed training runs in the UI
  • Ability to override username when using a service account API key

🐛 Bug Fix

  • Handle non-tty environments in Python2
  • Handle non-existing git binary
  • Fix issue where sometimes the same image was logged twice during a Keras step

0.6.23 (October 19, 2018)

💅 Enhancement

  • PyTorch
    • Added a new wandb.hook_torch method which records the graph and logs gradients & parameters of pytorch models
    • wandb.Image detects pytorch tensors and uses torchvision.utils.make_grid to render the image.

🐛 Bug Fix

  • wandb restore handles the case of not being run from within a git repo.

0.6.22 (October 18, 2018)

🐛 Bug Fix

  • We now open stdout and stderr in raw mode in Python 2 ensuring tools like bpdb work.

0.6.21 (October 12, 2018)

💅 Enhancement

  • Catastrophic errors are now reported to Sentry unless WANDB_ERROR_REPORTING is set to false
  • Improved error handling and messaging on startup

0.6.20 (October 5, 2018)

🐛 Bug Fix

  • The first image when calling wandb.log was not being written, now it is
  • wandb.log and run.summary now remove whitespace from keys

0.6.19 (October 5, 2018)

🐛 Bug Fix

  • Vendored prompt_toolkit < 1.0.15 because the latest ipython is pinned > 2.0
  • Lazy load wandb.h5 only if summary is accessed to improve Data API performance

💅 Enhancement

  • Jupyter
    • Deprecated wandb.monitor in favor of automatically starting system metrics after the first wandb.log call
    • Added new %%wandb jupyter magic method to display live results
    • Removed jupyter description iframe
  • The Data API now supports per_page and order options to the api.runs method
  • Initial support for wandb.Table logging
  • Initial support for matplotlib logging