From a6b2f6eca50eaf522600fb7f0857421be7218f73 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 3 Jul 2019 22:43:22 -0700 Subject: [PATCH] Update README, bump version --- README.md | 2 +- timm/version.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 194a6476..92b135d2 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ I've included a few of my favourite models, but this is not an exhaustive collec * SENet-154, SE-ResNet-18, SE-ResNet-34, SE-ResNet-50, SE-ResNet-101, SE-ResNet-152, SE-ResNeXt-26 (32x4d), SE-ResNeXt50 (32x4d), SE-ResNeXt101 (32x4d) * Inception-ResNet-V2 and Inception-V4 (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch) ) * Xception (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch)) -* PNasNet (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch)) +* PNasNet & NASNet-A (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch)) * DPN (from [me](https://github.com/rwightman/pytorch-dpn-pretrained), weights hosted by Cadene) * DPN-68, DPN-68b, DPN-92, DPN-98, DPN-131, DPN-107 * Generic EfficientNet (from my standalone [GenMobileNet](https://github.com/rwightman/genmobilenet-pytorch)) - A generic model that implements many of the mobile optimized architecture search derived models that utilize similar DepthwiseSeparable and InvertedResidual blocks diff --git a/timm/version.py b/timm/version.py index 2fb25139..124e4620 100644 --- a/timm/version.py +++ b/timm/version.py @@ -1 +1 @@ -__version__ = '0.1.6' +__version__ = '0.1.7'