# Hyper-parameter Scheduler Visualization

`tools/analysis_tools/vis_scheduler` aims to help the user to check the hyper-parameter scheduler of the optimizer(without training), which support the "learning rate", "momentum", and "weight_decay".

```bash
python tools/analysis_tools/vis_scheduler.py \
    ${CONFIG_FILE} \
    [-p, --parameter ${PARAMETER_NAME}] \
    [-d, --dataset-size ${DATASET_SIZE}] \
    [-n, --ngpus ${NUM_GPUs}] \
    [-o, --out-dir ${OUT_DIR}] \
    [--title ${TITLE}] \
    [--style ${STYLE}] \
    [--window-size ${WINDOW_SIZE}] \
    [--cfg-options]
```

**Description of all arguments**：

- `config`: The path of a model config file.
- **`-p, --parameter`**: The param to visualize its change curve, choose from "lr", "momentum" or "wd". Default to use "lr".
- **`-d, --dataset-size`**: The size of the datasets. If set，`DATASETS.build` will be skipped and `${DATASET_SIZE}` will be used as the size. Default to use the function `DATASETS.build`.
- **`-n, --ngpus`**: The number of GPUs used in training, default to be 1.
- **`-o, --out-dir`**: The output path of the curve plot, default not to output.
- `--title`: Title of figure. If not set, default to be config file name.
- `--style`: Style of plt. If not set, default to be `whitegrid`.
- `--window-size`: The shape of the display window. If not specified, it will be set to `12*7`. If used, it must be in the format `'W*H'`.
- `--cfg-options`: Modifications to the configuration file, refer to [Learn about Configs](../tutorials/config.md).

```{note}
Loading annotations maybe consume much time, you can directly specify the size of the dataset with `-d, dataset-size` to save time.
```

You can use the following command to plot the step learning rate schedule used in the config `configs/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco.py`:

```shell
python tools/analysis_tools/vis_scheduler.py \
    configs/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco.py \
    --dataset-size 118287 \
    --ngpus 8 \
    --out-dir ./output
```

<div align=center><img src="https://user-images.githubusercontent.com/27466624/213091635-d322d2b3-6e28-4755-b871-ef0a89a67a6b.jpg" style=" width: auto; height: 40%; "></div>