Skip to main content

DFRUN

gadget for dl experiments

What it does:
  1. create a folder to copy all the code in the current directory to freeze one training process
  2. switch to the working path to the folder created, and run the command
  3. 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:

mayeoliver@163.com

Metadata

Release files for dfrun 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dfrun 0.1.5
File Size Uploaded Provenance Actions
dfrun-0.1.5.tar.gz 4.0 kB Without provenance Details for dfrun-0.1.5.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dfrun 0.1.5
File Interpreter ABI Platform Actions
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

Download URL dfrun-0.1.5.tar.gz
Size 4.0 kB
Tags Source
SHA-256 checksum
How to use checksums
7a7db3909bafed43b7951d871b7b34f5fcb76f1ce5d5de30a1e98851411336ba
BLAKE2b-256 checksum
How to use checksums
a7c6d6a45746c0705e810e6caae7272f8d67ae055be4ce81d555f453ac951e4f
Upload date
Uploaded using Trusted Publishing?
What is 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

Release files / dfrun-0.1.5-py3-none-any.whl

Download URL dfrun-0.1.5-py3-none-any.whl
Size 5.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8b4431d9a1c0836d109a468d11fefb78357a61cbb18831c854a75d9cfb614b11
BLAKE2b-256 checksum
How to use checksums
a75fc03a40876c1601a2c4a0566e080aee0e9eee32fbb08a976fc5b572c6d8ce
Upload date
Uploaded using Trusted Publishing?
What is 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

Security for dfrun 0.1.5

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page