Code copier for multi experiments
Project description
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:
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dfrun-0.1.5.tar.gz
(4.0 kB
view details)
Built Distribution
dfrun-0.1.5-py3-none-any.whl
(5.4 kB
view details)
File details
Details for the file dfrun-0.1.5.tar.gz
.
File metadata
- Download URL: dfrun-0.1.5.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7a7db3909bafed43b7951d871b7b34f5fcb76f1ce5d5de30a1e98851411336ba |
|
MD5 | 02c77b532593cd1bc839bd9d07ad612e |
|
BLAKE2b-256 | a7c6d6a45746c0705e810e6caae7272f8d67ae055be4ce81d555f453ac951e4f |
Provenance
File details
Details for the file dfrun-0.1.5-py3-none-any.whl
.
File metadata
- Download URL: dfrun-0.1.5-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8b4431d9a1c0836d109a468d11fefb78357a61cbb18831c854a75d9cfb614b11 |
|
MD5 | a78a026a2286c13a6cfe4283de6d97a3 |
|
BLAKE2b-256 | a75fc03a40876c1601a2c4a0566e080aee0e9eee32fbb08a976fc5b572c6d8ce |