PyPI 官网下载 | logboard-0.5.3.tar.gz

<h1 align="center"> logboard </h1> <h4 align="center"> Monitor and Compare Logs on Browser/Terminal. </h4> <div align="center"> <a href="https://pypi.python.org/pypi/logboard"><img src="https://img.shields.io/pypi/v/logboard.svg"></a> <a href="https://pypi.org/project/logboard"><img src="https://img.shields.io/pypi/pyversions/logboard.svg"></a> <a href="https://travis-ci.com/wkentaro/logboard"><img src="https://travis-ci.com/wkentaro/logboard.svg?branch=master"></a> <br/> <img src=".readme/browser.png" width="60%"> <img src=".readme/terminal.png" width="60%" /> </div> ## Description Inspired by [tensorboard](https://github.com/tensorflow/tensorboard), [grip](https://github.com/joeyespo/grip) and [notable](https://github.com/notable/notable), all of which serve light-weight GUI by - only using static files (e.g., markdown files without DB); - single command (e.g., `tensorboard --logdir logs/` and `grip README.md`). ## Why not `tensorboard`? I also use `tensorboard` in addition to this tool. But currently `tensorboard` doesn't support comparing different configurations for each log (e.g., git-hash of the code, learning rate, training strategy). `logboard` is a kind of extra plugin to `tensorboard` (but you need to run in different terminal, unfortunately). I expect this kind of feature will be included in `tensorboard` in the future. ## Installation ```bash pip install logboard ``` ## Usage ### Browser (`logboard --logdir logs/`) ```bash $ cd examples $ cat logs/20190310_093252.724597/args { "loglevel": "info", "gpu": 0, "seed": 0, "class_ids": [ 1 ], "lr": 0.001, "timestamp": "2019-03-10T09:32:52.724597", "out": "/home/wkentaro/logboard/examples/logs/20190310_093252.724597", "hostname": "computer1", "githash": "b48ce48" } # similar to tensorboard --logdir logs/ $ logboard --logdir logs/ --filter out timestamp loglevel gpu seed 'lr .*' '.*main/loss.*(max)' '.*loss_.*' ``` ### Terminal (`logtable --logdir logs/`) ```bash $ cd examples $ logtable --logdir logs --filter out timestamp loglevel gpu seed 'lr .*' '.*main/loss.*(max)' '.*loss_.*' * Log directory: logs ╒════╤════════════════════════╤═════════╤═════════════╤════════════════╤═══════════════════╤═════════════╤═══════════╤════════════╤═══════╤══════════════╤═══════════════╕ │ │ log_dir │ epoch │ iteration │ elapsed_time │ updated_at │ class_ids │ githash │ hostname │ lr │ main/ │ validation/ │ │ │ │ │ │ │ │ │ │ │ │ loss (min) │ main/ │ │ │ │ │ │ │ │ │ │ │ │ │ loss (min) │ ╞════╪════════════════════════╪═════════╪═════════════╪════════════════╪═══════════════════╪═════════════╪═══════════╪════════════╪═══════╪══════════════╪═══════════════╡ │ 0 │ 20190310_093252.724597 │ 1 │ 1740 │ 1:47:02 │ 88 days, 14:24:22 │ [1] │ b48ce48 │ computer1 │ 0.001 │ 0.0088 │ 0.18 │ │ │ │ │ │ │ │ │ │ │ │ (1, 1580) │ (0, 880) │ ├────┼────────────────────────┼─────────┼─────────────┼────────────────┼───────────────────┼─────────────┼───────────┼────────────┼───────┼──────────────┼───────────────┤ │ 1 │ 20190310_093829.691289 │ 1 │ 1720 │ 1:45:37 │ 88 days, 14:24:22 │ [1] │ f766b97 │ computer2 │ 0.001 │ 0.012 │ 0.19 │ │ │ │ │ │ │ │ │ │ │ │ (1, 1620) │ (0, 440) │ ╘════╧════════════════════════╧═════════╧═════════════╧════════════════╧═══════════════════╧═════════════╧═══════════╧════════════╧═══════╧══════════════╧═══════════════╛ ```