- Fixed a bug when parsing logs without batch or total labels (GitHub issue #12)
- Added
--step
option for choosing which stat to use for TensorBoard step - Parsing additional statistics: WPS, gradient norm, label counts
- Updated logic for
--tool
in cases where AzureML is not detected
- Added
--tool
option for choosing logging into TensorBoard or AzureML or both - Removed
--azureml
option - Setting
--port 0
will skip starting a local TensorBoard server - Fixed a bug with loading version number when calling the script directly
- Trying to set working directory on Azure ML to
/tb_logs
- Creating working directory if it does not exist
- Added
--update-freq
option
- Added parsing learning rates
- Added parsing log files with logical epochs
- Exit with error code if log file does not exist
- Set
--azureml
automatically when running on Azure ML - Created package: marian-tensorboard
- Added integration for TensorBoard and Azure ML Metrics
- Started the project at MTMA 2022