Metadata-Version: 2.1
Name: tensorboard-reporter
Version: 0.0.4
Summary: Get reports for your training process via Slack
Home-page: https://github.com/unexge/tensorboard-reporter
Author: unexge
Author-email: unexge@gmail.com
License: UNKNOWN
Description: # TensorBoard Reporter
        
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![PyPI Link https://pypi.org/project/tensorboard-reporter/](https://img.shields.io/pypi/v/tensorboard-reporter)](https://pypi.org/project/tensorboard-reporter/)
        
        Get reports for your training process via Slack.
        
        ## Setup
        
        Install TensorBoard Reporter from pip
        
        ```bash
        pip install tensorboard-reporter
        ```
        
        Configure your report
        
        ```bash
        SLACK_BOT_TOKEN="xoxb-abc-1232" tensorboard-reporter \
         --run_dir runs --all_time \
         --tag "Test/loss" --tag "Train/loss" \
         --interval_hour 0.5 --slack_channels "#tensorboard-reports"
        ```
        
        And get reports to your Slack periodically
        
        ![Example](./example.png)
        
        ## Command line usage
        
        ```sh
        usage: tensorboard-reporter [-h] --run_dir RUN_DIR --interval_hour
                                    INTERVAL_HOUR --slack_channels SLACK_CHANNELS
                                    [--tag TAG] [--all_time]
        
        Get reports for your training process via Slack
        
        optional arguments:
          -h, --help            show this help message and exit
        
        required arguments:
          --run_dir RUN_DIR     tensorboard run dir
          --interval_hour INTERVAL_HOUR
                                report interval hour
          --slack_channels SLACK_CHANNELS
                                slack channels (comma separated) which messages will
                                be sent (can be user ids)
          --tag TAG             tags to report. Default: all tags
          --all_time            include all summaries (even old ones). Default:False
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
