From 88f3e8b50775b4baf5a4fed13a5593db9069844f Mon Sep 17 00:00:00 2001 From: achaiah Date: Mon, 20 Jan 2020 16:08:40 -0600 Subject: [PATCH] release 0.5.6 --- README.md | 16 ++++++++++++---- docs/source/README.md | 16 ++++++++++++---- setup.py | 12 ++++++++++-- 3 files changed, 34 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 875dd1b..8fbed41 100644 --- a/README.md +++ b/README.md @@ -29,8 +29,8 @@ have [docs](https://pywick.readthedocs.io/en/latest/)! They're still a work in progress though so apologies for anything that's broken. ## What's New (highlights) -- **Jan. 15, 2020** - - New release: 0.5.5 +- **Jan. 20, 2020** + - New release: 0.5.6 (minor fix from 0.5.5 for pypi) - Mish activation function (SoTA) - [rwightman's](https://github.com/rwightman/gen-efficientnet-pytorch) models of pretrained/ported variants for classification (44 total) - efficientnet Tensorflow port b0-b8, with and without AP, el/em/es, cc @@ -46,11 +46,13 @@ work in progress though so apologies for anything that's broken. - General bug fixes and code improvements ## Install +Pywick requires **pytorch >= 1.0** + `pip install pywick` or specific version from git: -`pip install git+https://github.com/achaiah/pywick.git@v0.5.5` +`pip install git+https://github.com/achaiah/pywick.git@v0.5.6` ## ModuleTrainer The `ModuleTrainer` class provides a high-level training interface which abstracts @@ -192,10 +194,15 @@ trainer.fit_loader(loader, val_loader=val_loader, num_epoch=100) - [**SqueezeNet**](https://arxiv.org/abs/1602.07360) - [**VGG**](https://arxiv.org/abs/1409.1556) - [**BatchNorm Inception**](https://arxiv.org/pdf/1502.03167.pdf) -- [**Dual Path Networks**](https://arxiv.org/abs/1707.01629/) +- [**Dual Path Networks**](https://arxiv.org/abs/1707.01629) +- [**EfficientNet variants b0-b8**](https://arxiv.org/abs/1905.11946) - [**FBResnet**](https://github.com/facebook/fb.resnet.torch) +- [**FBNet-C**](https://arxiv.org/abs/1812.03443) - [**Inception v4**](http://arxiv.org/abs/1602.07261) - [**InceptionResnet v2**](https://arxiv.org/abs/1602.07261) +- [**Mixnet L/M/S**](https://arxiv.org/abs/1907.09595) +- [**MnasNet**](https://arxiv.org/abs/1807.11626) +- [**MobileNet V3**](https://arxiv.org/abs/1905.02244) - [**NasNet and NasNet Mobile**](https://arxiv.org/abs/1707.07012) - [**PNASNet**](https://arxiv.org/abs/1712.00559) - [**Polynet**](https://arxiv.org/abs/1611.05725) @@ -204,6 +211,7 @@ trainer.fit_loader(loader, val_loader=val_loader, num_epoch=100) - [**ResNext**](https://arxiv.org/abs/1611.05431) - [**SE Net**](https://arxiv.org/pdf/1709.01507.pdf) - **SE Inception** +- [**Single-Pass NAS Net**](https://arxiv.org/abs/1904.02877) - [**Wide Resnet**](https://arxiv.org/abs/1605.07146) - [**XCeption**](https://arxiv.org/pdf/1610.02357.pdf) diff --git a/docs/source/README.md b/docs/source/README.md index 875dd1b..8fbed41 100644 --- a/docs/source/README.md +++ b/docs/source/README.md @@ -29,8 +29,8 @@ have [docs](https://pywick.readthedocs.io/en/latest/)! They're still a work in progress though so apologies for anything that's broken. ## What's New (highlights) -- **Jan. 15, 2020** - - New release: 0.5.5 +- **Jan. 20, 2020** + - New release: 0.5.6 (minor fix from 0.5.5 for pypi) - Mish activation function (SoTA) - [rwightman's](https://github.com/rwightman/gen-efficientnet-pytorch) models of pretrained/ported variants for classification (44 total) - efficientnet Tensorflow port b0-b8, with and without AP, el/em/es, cc @@ -46,11 +46,13 @@ work in progress though so apologies for anything that's broken. - General bug fixes and code improvements ## Install +Pywick requires **pytorch >= 1.0** + `pip install pywick` or specific version from git: -`pip install git+https://github.com/achaiah/pywick.git@v0.5.5` +`pip install git+https://github.com/achaiah/pywick.git@v0.5.6` ## ModuleTrainer The `ModuleTrainer` class provides a high-level training interface which abstracts @@ -192,10 +194,15 @@ trainer.fit_loader(loader, val_loader=val_loader, num_epoch=100) - [**SqueezeNet**](https://arxiv.org/abs/1602.07360) - [**VGG**](https://arxiv.org/abs/1409.1556) - [**BatchNorm Inception**](https://arxiv.org/pdf/1502.03167.pdf) -- [**Dual Path Networks**](https://arxiv.org/abs/1707.01629/) +- [**Dual Path Networks**](https://arxiv.org/abs/1707.01629) +- [**EfficientNet variants b0-b8**](https://arxiv.org/abs/1905.11946) - [**FBResnet**](https://github.com/facebook/fb.resnet.torch) +- [**FBNet-C**](https://arxiv.org/abs/1812.03443) - [**Inception v4**](http://arxiv.org/abs/1602.07261) - [**InceptionResnet v2**](https://arxiv.org/abs/1602.07261) +- [**Mixnet L/M/S**](https://arxiv.org/abs/1907.09595) +- [**MnasNet**](https://arxiv.org/abs/1807.11626) +- [**MobileNet V3**](https://arxiv.org/abs/1905.02244) - [**NasNet and NasNet Mobile**](https://arxiv.org/abs/1707.07012) - [**PNASNet**](https://arxiv.org/abs/1712.00559) - [**Polynet**](https://arxiv.org/abs/1611.05725) @@ -204,6 +211,7 @@ trainer.fit_loader(loader, val_loader=val_loader, num_epoch=100) - [**ResNext**](https://arxiv.org/abs/1611.05431) - [**SE Net**](https://arxiv.org/pdf/1709.01507.pdf) - **SE Inception** +- [**Single-Pass NAS Net**](https://arxiv.org/abs/1904.02877) - [**Wide Resnet**](https://arxiv.org/abs/1605.07146) - [**XCeption**](https://arxiv.org/pdf/1610.02357.pdf) diff --git a/setup.py b/setup.py index 3e1da17..aeda72d 100644 --- a/setup.py +++ b/setup.py @@ -2,9 +2,17 @@ from setuptools import setup, find_packages +# read the contents of your README file per https://packaging.python.org/guides/making-a-pypi-friendly-readme/ +from os import path +this_directory = path.abspath(path.dirname(__file__)) +with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f: + long_description = f.read() + setup(name='pywick', - version='0.5.5', + version='0.5.6', description='High-level batteries-included training framework for Pytorch', + long_description=long_description, + long_description_content_type='text/markdown', author='Achaiah', install_requires=[ 'h5py', @@ -19,7 +27,7 @@ ], packages=find_packages(), url='https://github.com/achaiah/pywick', - download_url='https://github.com/achaiah/pywick/archive/v0.5.3.tar.gz', + download_url='https://github.com/achaiah/pywick/archive/v0.5.6.tar.gz', keywords=['pytorch', 'classification', 'deep learning', 'neural networks', 'semantic-segmentation', 'framework'], classifiers=['Development Status :: 4 - Beta', 'Intended Audience :: Developers',