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Monitor and Compare Logs on Browser.

Project description

logboard

Monitor and Compare Logs on Browser/Terminal.


Description

Inspired by tensorboard, grip and 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

pip install logboard

Usage

Browser (logboard --logdir logs/)

$ 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/)

$ 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)    │
╘════╧════════════════════════╧═════════╧═════════════╧════════════════╧═══════════════════╧═════════════╧═══════════╧════════════╧═══════╧══════════════╧═══════════════╛

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