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 files for pyfreeze 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfreeze-0.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / pyfreeze-0.0.1-py2.py3-none-any.whl
| Download URL | pyfreeze-0.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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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
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