Wandb

:bug: 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

:nail_care: 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

:bug: Bug Fix

- Fixed history / summary bug

:nail_care: 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: Bug Fix

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

:nail_care: 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: Bug Fix

- Show ongoing media file uploads in final upload progress.

:nail_care: Enhancement

- wandb.Audio supports duration

:bug: Bug Fix

- Pass username header in filestream API

:nail_care: 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: 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