Bump version to v0.20.1 ()

pull/666/head^2 v0.20.1
Ma Zerun 2022-02-07 11:46:50 +08:00 committed by GitHub
parent e0edffb353
commit a7f8e96b31
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13 changed files with 29 additions and 15 deletions

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@ -10,8 +10,8 @@ Collections:
Title: A ConvNet for the 2020s
README: configs/convnext/README.md
Code:
Version: v0.20.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/convnext.py
Version: v0.20.1
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/convnext.py
Models:
- Name: convnext-tiny_3rdparty_32xb128_in1k

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@ -17,8 +17,8 @@ Collections:
Title: "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks"
README: configs/efficientnet/README.md
Code:
Version: v0.20.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/efficientnet.py
Version: v0.20.1
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
Models:
- Name: efficientnet-b0_3rdparty_8xb32_in1k

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@ -12,8 +12,8 @@ Collections:
Title: "Deep High-Resolution Representation Learning for Visual Recognition"
README: configs/hrnet/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/hrnet.py
Version: v0.20.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/hrnet.py
Version: v0.20.1
Models:
- Name: hrnet-w18_3rdparty_8xb32_in1k

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@ -12,8 +12,8 @@ Collections:
Title: "Twins: Revisiting the Design of Spatial Attention in Vision Transformers"
README: configs/twins/README.md
Code:
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/twins.py
Version: v0.20.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/twins.py
Version: v0.20.1
Models:
- Name: twins-pcpvt-small_3rdparty_8xb128_in1k

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@ -4,7 +4,7 @@ ARG CUDNN="7"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
ARG MMCV="1.4.2"
ARG MMCLS="0.20.0"
ARG MMCLS="0.20.1"
ENV PYTHONUNBUFFERED TRUE

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@ -1,5 +1,11 @@
# Changelog
## v0.20.1(07/02/2022)
### Bug Fixes
- Fix the MMCV dependency version.
## v0.20.0(30/01/2022)
### Highlights

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@ -0,0 +1,8 @@
# Compatibility of MMClassification 0.x
## MMClassification 0.20.1
### MMCV compatibility
In Twins backbone, we use the `PatchEmbed` module of MMCV, and this module is added after MMCV 1.4.2.
Therefore, we need to update the mmcv version to 1.4.2.

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@ -11,7 +11,7 @@ The compatible MMClassification and MMCV versions are as below. Please install t
| MMClassification version | MMCV version |
|:------------------------:|:---------------------:|
| dev | mmcv>=1.4.4, <=1.5.0 |
| 0.20.0 (master) | mmcv>=1.3.16, <=1.5.0 |
| 0.20.1 (master) | mmcv>=1.4.2, <=1.5.0 |
| 0.19.0 | mmcv>=1.3.16, <=1.5.0 |
| 0.18.0 | mmcv>=1.3.16, <=1.5.0 |
| 0.17.0 | mmcv>=1.3.8, <=1.5.0 |

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@ -11,7 +11,7 @@ MMClassification 和 MMCV 的适配关系如下,请安装正确版本的 MMCV
| MMClassification 版本 | MMCV 版本 |
|:---------------------:|:---------------------:|
| dev | mmcv>=1.4.4, <=1.5.0 |
| 0.20.0 (master)| mmcv>=1.3.16, <=1.5.0 |
| 0.20.1 (master)| mmcv>=1.4.2, <=1.5.0 |
| 0.19.0 | mmcv>=1.3.16, <=1.5.0 |
| 0.18.0 | mmcv>=1.3.16, <=1.5.0 |
| 0.17.0 | mmcv>=1.3.8, <=1.5.0 |

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@ -47,7 +47,7 @@ def digit_version(version_str: str, length: int = 4):
return tuple(release)
mmcv_minimum_version = '1.3.16'
mmcv_minimum_version = '1.4.2'
mmcv_maximum_version = '1.5.0'
mmcv_version = digit_version(mmcv.__version__)

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@ -1,6 +1,6 @@
# Copyright (c) OpenMMLab. All rights reserved
__version__ = '0.20.0'
__version__ = '0.20.1'
def parse_version_info(version_str):

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@ -1 +1 @@
mmcv-full>=1.3.16,<=1.5.0
mmcv-full>=1.4.2,<=1.5.0

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@ -1,3 +1,3 @@
mmcv>=1.3.16
mmcv>=1.4.2
torch
torchvision