labtasker-plugin-script-generate
[!WARNING] This plugin does not cover all possible scenarios and does not guarantee the correctness of the generated scripts. It is strongly advised to double-check and manually adjust the generated scripts to your need.
This is a plugin for Labtasker that helps you to automatically split your bash script into submit script and job script.
Install
pip install labtasker-plugin-script-generate
Example
You can find the code in the demo directory.
Imagine you have a bash wrapper script for your machine learning experiment. To divide the script into a submit script
and a job script, simply add a few special comments (e.g., #@submit, #@task, #@end).
#!/bin/bash
export CUDA_HOME=/usr/local/cuda-12.1
+#@submit
for dataset in imagenet cifar10 mnist; do
for model in resnet50 vit transformer; do
LOG_DIR=/path/to/logs/$dataset/$model
+ #@task
python train.py --dataset $dataset \
--model $model \
--cuda-home $CUDA_HOME \
--log-dir $LOG_DIR
+ #@end
done
done
+#@end
echo "done"
Run:
labtasker generate original.sh
You will see original_submit.sh and original_run.sh generated at the same directory, with
the following content:
original_submit.sh:
#!/bin/bash
# This script is generated by Labtasker from original.sh
export CUDA_HOME=/usr/local/cuda-12.1
for dataset in imagenet cifar10 mnist; do
for model in resnet50 vit transformer; do
LOG_DIR=/path/to/logs/$dataset/$model
labtasker task submit -- --CUDA_HOME "$CUDA_HOME" --LOG_DIR "$LOG_DIR" --dataset "$dataset" --model "$model"
done
done
echo "done"
original_run.sh:
#!/bin/bash
# This script is generated by Labtasker from original.sh
export CUDA_HOME=/usr/local/cuda-12.1
LABTASKER_TASK_SCRIPT=$(mktemp)
cat <<'LABTASKER_LOOP_EOF' > "$LABTASKER_TASK_SCRIPT"
CUDA_HOME=%(CUDA_HOME)
LOG_DIR=%(LOG_DIR)
dataset=%(dataset)
model=%(model)
python train.py --dataset $dataset \
--model $model \
--cuda-home $CUDA_HOME \
--log-dir $LOG_DIR
LABTASKER_LOOP_EOF
labtasker loop --executable /bin/bash --script-path $LABTASKER_TASK_SCRIPT
echo "done"
Metadata
Release files for labtasker-plugin-script-generate 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| labtasker_plugin_script_generate-0.1.3.tar.gz | 13.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| labtasker_plugin_script_generate-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.8 kB
Release files / labtasker_plugin_script_generate-0.1.3.tar.gz
| Download URL | labtasker_plugin_script_generate-0.1.3.tar.gz |
|---|---|
| Size | 13.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fa74041ffab5fcffa6e3929fe5bae880547eaf17eaf2014169a280849666e49b
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Transparency logRelease files / labtasker_plugin_script_generate-0.1.3-py3-none-any.whl
| Download URL | labtasker_plugin_script_generate-0.1.3-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 25, 2025.
Transparency log