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https://github.com/viktor-shcherb/triage

Script running tool for optimizing GPU memory utilization
https://github.com/viktor-shcherb/triage

automation cli cuda deep-learning devops-tools experiment-runner gpu-monitoring gpu-scheduler hyperparameter-sweep job-queue machine-learning nvidia-smi pypi-package python resource-management script-runner

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Script running tool for optimizing GPU memory utilization

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# TRIAGE

Triage is a lightweight Python runner that turns a pile of training scripts into a self-managed queue, launching each job only when the GPUs have enough free memory. Give it one or more JSON “run configurations” with a memory budget and argument grid; Triage watches nvidia-smi, starts the job the moment resources are free, iterates through all parameter combinations, and records the run under a unique task name. It keeps shared servers from low VRAM utilization and lets you squeeze every last gigabyte out of your hardware during deep-learning experiments.

## Installation

```bash
pip install triage-runner
```

## Usage

See `--help` option for extended list of possible arguments.
Running one config:
```bash
triage run_config.json
```
Running several configs:
```bash
triage run_config1.json run_config2.json run_config3.json
```
Patterns can be used for config discovery as well:
```bash
triage run_config*.json
```
More on pattern syntax can be found here: https://docs.python.org/3.10/library/pathlib.html#pathlib.Path.glob

## Run configurations

Stored in JSON format. The sample run configuration looks like this:
```json
{
"memory_needed": 10.0,
"config_name": "sample_config",
"command": "python3 train.py",
"args": [
"arg1",
"--arg2",
["--seed=1", "--seed=2", "--seed=3"],
"--arg3=3"
]
}
```
Every entry in `args` list is an argument for `command`. An entry can be a list - in which case TRIAGE will iterate through all the possible combinations of all values in list entries. The example script above will be run 3 times with an argument `--seed` set to 1, 2 and 3.

Parameter `config_name` is optional and is used for logging the results (see `--logfile` option). Based on this parameter environment variable `TASK_NAME` is set in order to be used by running script.