A small library to easily allow freezing, unfreezing and differential learning rates on weights of Pytorch models.
Project description
A small library to easily allow freezing, unfreezing and differential learning rates on weights of Pytorch models.
Free software: MIT license
Installation
pip install pyfreeze
Documentation
Development
To run the all tests run:
tox
Note, to combine the coverage data from all the tox environments run:
Windows |
set PYTEST_ADDOPTS=--cov-append tox |
|---|---|
Other |
PYTEST_ADDOPTS=--cov-append tox |
Changelog
0.0.0 (2019-04-11)
First release on PyPI.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file pyfreeze-0.0.1-py2.py3-none-any.whl.
File metadata
- Download URL: pyfreeze-0.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5360c17569d59999219efe91d4c7afe5f5915b4174f341010b3c968f6e144708
|
|
| MD5 |
06d5972f09c9fef0401aefad14a33bb6
|
|
| BLAKE2b-256 |
2440d42f79ba2917f8f66a945f700dde01b72bdf24e01c0122bf11b932b541da
|
