Get reports for your training process via Slack
Project description
TensorBoard Reporter
Get reports for your training process via Slack.
Setup
Install TensorBoard Reporter from pip
pip install tensorboard-reporter
Configure your report
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
Command line usage
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file tensorboard-reporter-0.0.5.tar.gz
.
File metadata
- Download URL: tensorboard-reporter-0.0.5.tar.gz
- Upload date:
- Size: 4.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bf7b5995a372a4f0896fd1a9cec558bcd436b1c4be099f7d25485380650ebcfe |
|
MD5 | 372f0bf8bd365fdbe8ec576bcc8434f2 |
|
BLAKE2b-256 | ea3f70e15f2927bf16245664c75be6ad6330c3373f4f217e504076cc5a262773 |
File details
Details for the file tensorboard_reporter-0.0.5-py3-none-any.whl
.
File metadata
- Download URL: tensorboard_reporter-0.0.5-py3-none-any.whl
- Upload date:
- Size: 6.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9c48056ef2cd5c9d95df9f8eb3c2f85d9159b0239af2d8413a1ef7d79651b00e |
|
MD5 | 0f1278d1f07363ab9d4a80f6071e3e44 |
|
BLAKE2b-256 | 841563341a0622272358a4d7277885783d92ed6cf8179fae3ddeb14eb1ab6546 |