45 lines
2.2 KiB
Markdown
45 lines
2.2 KiB
Markdown
# Hyper-parameter Scheduler Visualization
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This tool aims to help the user to check the hyper-parameter scheduler of the optimizer (without training), which support the "learning rate" or "momentum"
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## Introduce the scheduler visualization tool
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```bash
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python tools/visualization/vis_scheduler.py \
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${CONFIG_FILE} \
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[-p, --parameter ${PARAMETER_NAME}] \
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[-d, --dataset-size ${DATASET_SIZE}] \
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[-n, --ngpus ${NUM_GPUs}] \
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[-s, --save-path ${SAVE_PATH}] \
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[--title ${TITLE}] \
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[--style ${STYLE}] \
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[--window-size ${WINDOW_SIZE}] \
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[--cfg-options]
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```
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**Description of all arguments**:
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- `config`: The path of a model config file.
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- **`-p, --parameter`**: The param to visualize its change curve, choose from "lr" and "momentum". Default to use "lr".
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- **`-d, --dataset-size`**: The size of the datasets. If set,`build_dataset` will be skipped and `${DATASET_SIZE}` will be used as the size. Default to use the function `build_dataset`.
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- **`-n, --ngpus`**: The number of GPUs used in training, default to be 1.
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- **`-s, --save-path`**: The learning rate curve plot save path, default not to save.
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- `--title`: Title of figure. If not set, default to be config file name.
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- `--style`: Style of plt. If not set, default to be `whitegrid`.
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- `--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'`.
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- `--cfg-options`: Modifications to the configuration file, refer to [Learn about Configs](../user_guides/config.md).
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```{note}
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Loading annotations maybe consume much time, you can directly specify the size of the dataset with `-d, dataset-size` to save time.
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```
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## How to plot the learning rate curve without training
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You can use the following command to plot the step learning rate schedule used in the config `configs/swin_transformer/swin-base_16xb64_in1k.py`:
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```bash
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python tools/visualization/vis_scheduler.py configs/swin_transformer/swin-base_16xb64_in1k.py --dataset-size 1281167 --ngpus 16
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```
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<div align=center><img src="https://user-images.githubusercontent.com/26739999/226544329-cf3a3d45-6ab3-48aa-8972-2c2a58c35e62.png" style=" width: auto; height: 40%; "></div>
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