Skip to main content

Training_framework

Training framework for pytorch models

Simple training framework for pytorch supporting two cases:

  • Normal training
  • Horovod Training

Use example: https://gist.github.com/mizzmir/2101e2dde34eb2a2d15a640bd93f33b4

Metadata

Release files for simple-framework 0.0.1.3

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

Source distribution (sdist)

Source distribution for simple-framework 0.0.1.3
File Size Uploaded Provenance
simple framework-0.0.1.3.tar.gz 8.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for simple-framework 0.0.1.3
File Interpreter ABI Platform
simple_framework-0.0.1.3-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 29.7 kB

Release files / simple framework-0.0.1.3.tar.gz

Download URL simple framework-0.0.1.3.tar.gz
Size 8.6 kB
Tags Source
SHA-256 checksum
How to use checksums
530b32dc12da5b72036dda14e49ad293aae55df15afb5b9cb681560486349098
BLAKE2b-256 checksum
How to use checksums
817059424a9b711293ebd50f54a5927c4f29724383613d44147b88332d763c6c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.6.9

Release files / simple_framework-0.0.1.3-py2.py3-none-any.whl

Download URL simple_framework-0.0.1.3-py2.py3-none-any.whl
Size 21.0 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
34316809922a3feed07205b0fd16626b8d4e8e4af61763daa68d4eaaa2841d8f
BLAKE2b-256 checksum
How to use checksums
1b65a0d3e4531ba6422d3b980b1b949bb18df9e9843bda7f6bc2c594d15ffb33
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.6.9

Security for simple-framework 0.0.1.3

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