DFRUN
gadget for dl experiments
What it does:
- create a folder to copy all the code in the current directory to freeze one training process
- switch to the working path to the folder created, and run the command
- if gpu resources is needed, nvidia-ml-py package is needed.
In python 2.x,
pip install nvidia-ml-py, while in python 3.x,pip install nvidia-ml-py3
Dependencies:
Code is tested on python 3.4 and it's supposed to run in python 3 environment.
Install:
pip install dfrun
or clone this repository and run:
python setup.py install
Usage:
dfrun -d [experiment folder] -n [experiment name] -g [NUMxMEM] [command]
What does the project folder look like:
Proj
|__ [CODE FILES]
|__ .dfignore (contains the files/folders ignored in the copy process)
|__ Experiment Folder (--exp-dir -d)
|__ Experiment Name (--exp-name -n)
| |__ [CODE FILES COPIED]
| Other Exp Names....
Contact:
Metadata
Release files for dfrun 0.1.5
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| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| dfrun-0.1.5-py3-none-any.whl | Python 3 | none | any | Details for dfrun-0.1.5-py3-none-any.whl |
Total release size: 9.4 kB
Release files / dfrun-0.1.5.tar.gz
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Release files / dfrun-0.1.5-py3-none-any.whl
| Download URL | dfrun-0.1.5-py3-none-any.whl |
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| Tags | Python 3 |
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