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Unverified Commit 7c136e79 authored by Zaida Zhou's avatar Zaida Zhou Committed by GitHub
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Update the supported torch and cuda versions in README (#2687) 

* Update the supported torch and cuda versions in README

* update version.json

* use ubuntu-22.04

* refine
parent c74b4889
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.github/workflows/publish-to-pypi.yml
View file @ 7c136e79
......@@ -8,7 +8,7 @@ concurrency:
jobs:
build-n-publish:
runs-on: ubuntu-18.04
runs-on: ubuntu-22.04
if: startsWith(github.event.ref, 'refs/tags')
steps:
- uses: actions/checkout@v2
......@@ -21,14 +21,14 @@ jobs:
- name: Build MMCV
run: |
sed -i "s/os.getenv('MMCV_WITH_OPS', '1')/os.getenv('MMCV_WITH_OPS', '0')/g" setup.py
python setup.py sdist bdist_wheel
python setup.py sdist
- name: Publish distribution to PyPI
run: |
pip install twine
twine upload dist/* -u __token__ -p ${{ secrets.pypi_password }}
build-n-publish_with_ops:
runs-on: ubuntu-18.04
runs-on: ubuntu-22.04
if: startsWith(github.event.ref, 'refs/tags')
steps:
- uses: actions/checkout@v2
......
README.md
View file @ 7c136e79
......@@ -19,11 +19,11 @@
<div>&nbsp;</div>
</div>
[![docs](https://img.shields.io/badge/docs-2.x-blue)](https://mmcv.readthedocs.io/en/2.x/)
[![platform](https://img.shields.io/badge/platform-Linux%7CWindows%7CmacOS-blue)](https://mmcv.readthedocs.io/en/2.x/get_started/installation.html)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmcv.readthedocs.io/en/latest/)
[![platform](https://img.shields.io/badge/platform-Linux%7CWindows%7CmacOS-blue)](https://mmcv.readthedocs.io/en/latest/get_started/installation.html)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mmcv)](https://pypi.org/project/mmcv/)
[![pytorch](https://img.shields.io/badge/pytorch-1.6~1.13-orange)](https://pytorch.org/get-started/previous-versions/)
[![cuda](https://img.shields.io/badge/cuda-9.2~11.7-green)](https://developer.nvidia.com/cuda-downloads)
[![pytorch](https://img.shields.io/badge/pytorch-1.8~2.0-orange)](https://pytorch.org/get-started/previous-versions/)
[![cuda](https://img.shields.io/badge/cuda-10.1~11.8-green)](https://developer.nvidia.com/cuda-downloads)
[![PyPI](https://img.shields.io/pypi/v/mmcv)](https://pypi.org/project/mmcv)
[![badge](https://github.com/open-mmlab/mmcv/workflows/build/badge.svg)](https://github.com/open-mmlab/mmcv/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmcv)
......@@ -35,11 +35,11 @@ English | [简体中文](README_zh-CN.md)
MMCV is a foundational library for computer vision research and it provides the following functionalities:
- [Image/Video processing](https://mmcv.readthedocs.io/en/2.x/understand_mmcv/data_process.html)
- [Image and annotation visualization](https://mmcv.readthedocs.io/en/2.x/understand_mmcv/visualization.html)
- [Image transformation](https://mmcv.readthedocs.io/en/2.x/understand_mmcv/data_transform.html)
- [Various CNN architectures](https://mmcv.readthedocs.io/en/2.x/understand_mmcv/cnn.html)
- [High-quality implementation of common CPU and CUDA ops](https://mmcv.readthedocs.io/en/2.x/understand_mmcv/ops.html)
- [Image/Video processing](https://mmcv.readthedocs.io/en/latest/understand_mmcv/data_process.html)
- [Image and annotation visualization](https://mmcv.readthedocs.io/en/latest/understand_mmcv/visualization.html)
- [Image transformation](https://mmcv.readthedocs.io/en/latest/understand_mmcv/data_transform.html)
- [Various CNN architectures](https://mmcv.readthedocs.io/en/latest/understand_mmcv/cnn.html)
- [High-quality implementation of common CPU and CUDA ops](https://mmcv.readthedocs.io/en/latest/understand_mmcv/ops.html)
It supports the following systems:
......@@ -47,7 +47,7 @@ It supports the following systems:
- Windows
- macOS
See the [documentation](http://mmcv.readthedocs.io/en/2.x) for more features and usage.
See the [documentation](http://mmcv.readthedocs.io/en/latest) for more features and usage.
Note: MMCV requires Python 3.7+.
......@@ -68,23 +68,23 @@ The command to install mmcv:
```bash
pip install -U openmim
mim install "mmcv>=2.0.0rc1"
mim install mmcv
```
If you need to specify the version of mmcv, you can use the following command:
```bash
mim install mmcv==2.0.0rc3
mim install mmcv==2.0.0
```
If you find that the above installation command does not use a pre-built package ending with `.whl` but a source package ending with `.tar.gz`, you may not have a pre-build package corresponding to the PyTorch or CUDA or mmcv version, in which case you can [build mmcv from source](https://mmcv.readthedocs.io/en/2.x/get_started/build.html).
If you find that the above installation command does not use a pre-built package ending with `.whl` but a source package ending with `.tar.gz`, you may not have a pre-build package corresponding to the PyTorch or CUDA or mmcv version, in which case you can [build mmcv from source](https://mmcv.readthedocs.io/en/latest/get_started/build.html).
<details>
<summary>Installation log using pre-built packages</summary>
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv<br />
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0rc3-cp38-cp38-manylinux1_x86_64.whl</b>
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0-cp38-cp38-manylinux1_x86_64.whl</b>
</details>
......@@ -92,12 +92,12 @@ Collecting mmcv<br />
<summary>Installation log using source packages</summary>
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv==2.0.0rc3<br />
<b>Downloading mmcv-2.0.0rc3.tar.gz</b>
Collecting mmcv==2.0.0<br />
<b>Downloading mmcv-2.0.0.tar.gz</b>
</details>
For more installation methods, please refer to the [Installation documentation](https://mmcv.readthedocs.io/en/2.x/get_started/installation.html).
For more installation methods, please refer to the [Installation documentation](https://mmcv.readthedocs.io/en/latest/get_started/installation.html).
### Install mmcv-lite
......@@ -105,15 +105,15 @@ If you need to use PyTorch-related modules, make sure PyTorch has been successfu
```bash
pip install -U openmim
mim install "mmcv-lite>=2.0.0rc1"
mim install mmcv-lite
```
## FAQ
If you face some installation issues, CUDA related issues or RuntimeErrors,
you may first refer to this [Frequently Asked Questions](https://mmcv.readthedocs.io/en/2.x/faq.html).
you may first refer to this [Frequently Asked Questions](https://mmcv.readthedocs.io/en/latest/faq.html).
If you face installation problems or runtime issues, you may first refer to this [Frequently Asked Questions](https://mmcv.readthedocs.io/en/2.x/faq.html) to see if there is a solution. If the problem is still not solved, feel free to open an [issue](https://github.com/open-mmlab/mmcv/issues).
If you face installation problems or runtime issues, you may first refer to this [Frequently Asked Questions](https://mmcv.readthedocs.io/en/latest/faq.html) to see if there is a solution. If the problem is still not solved, feel free to open an [issue](https://github.com/open-mmlab/mmcv/issues).
## Citation
......
README_zh-CN.md
View file @ 7c136e79
......@@ -19,11 +19,11 @@
<div>&nbsp;</div>
</div>
[![docs](https://img.shields.io/badge/docs-2.x-blue)](https://mmcv.readthedocs.io/zh_CN/2.x/)
[![platform](https://img.shields.io/badge/platform-Linux%7CWindows%7CmacOS-blue)](https://mmcv.readthedocs.io/zh_CN/2.x/get_started/installation.html)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmcv.readthedocs.io/zh_CN/latest/)
[![platform](https://img.shields.io/badge/platform-Linux%7CWindows%7CmacOS-blue)](https://mmcv.readthedocs.io/zh_CN/latest/get_started/installation.html)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mmcv)](https://pypi.org/project/mmcv/)
[![pytorch](https://img.shields.io/badge/pytorch-1.6~1.13-orange)](https://pytorch.org/get-started/previous-versions/)
[![cuda](https://img.shields.io/badge/cuda-9.2~11.7-green)](https://developer.nvidia.com/cuda-downloads)
[![pytorch](https://img.shields.io/badge/pytorch-1.8~2.0-orange)](https://pytorch.org/get-started/previous-versions/)
[![cuda](https://img.shields.io/badge/cuda-10.1~11.8-green)](https://developer.nvidia.com/cuda-downloads)
[![PyPI](https://img.shields.io/pypi/v/mmcv)](https://pypi.org/project/mmcv)
[![badge](https://github.com/open-mmlab/mmcv/workflows/build/badge.svg)](https://github.com/open-mmlab/mmcv/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmcv)
......@@ -35,11 +35,11 @@
MMCV 是一个面向计算机视觉的基础库，它提供了以下功能：
- [图像和视频处理](https://mmcv.readthedocs.io/zh_CN/2.x/understand_mmcv/data_process.html)
- [图像和标注结果可视化](https://mmcv.readthedocs.io/zh_CN/2.x/understand_mmcv/visualization.html)
- [图像变换](https://mmcv.readthedocs.io/zh_CN/2.x/understand_mmcv/data_transform.html)
- [多种 CNN 网络结构](https://mmcv.readthedocs.io/zh_CN/2.x/understand_mmcv/cnn.html)
- [高质量实现的常见 CUDA 算子](https://mmcv.readthedocs.io/zh_CN/2.x/understand_mmcv/ops.html)
- [图像和视频处理](https://mmcv.readthedocs.io/zh_CN/latest/understand_mmcv/data_process.html)
- [图像和标注结果可视化](https://mmcv.readthedocs.io/zh_CN/latest/understand_mmcv/visualization.html)
- [图像变换](https://mmcv.readthedocs.io/zh_CN/latest/understand_mmcv/data_transform.html)
- [多种 CNN 网络结构](https://mmcv.readthedocs.io/zh_CN/latest/understand_mmcv/cnn.html)
- [高质量实现的常见 CUDA 算子](https://mmcv.readthedocs.io/zh_CN/latest/understand_mmcv/ops.html)
MMCV 支持多种平台，包括：
......@@ -47,7 +47,7 @@ MMCV 支持多种平台，包括：
- Windows
- macOS
如想了解更多特性和使用，请参考[文档](http://mmcv.readthedocs.io/zh_CN/2.x)。
如想了解更多特性和使用，请参考[文档](http://mmcv.readthedocs.io/zh_CN/latest)。
提示: MMCV 需要 Python 3.7 以上版本。
......@@ -68,23 +68,23 @@ MMCV 有两个版本：
```bash
pip install -U openmim
mim install "mmcv>=2.0.0rc1"
mim install mmcv
```
如果需要指定 mmcv 的版本，可以使用以下命令
```bash
mim install mmcv==2.0.0rc3
mim install mmcv==2.0.0
```
如果发现上述的安装命令没有使用预编译包（以 `.whl` 结尾）而是使用源码包（以 `.tar.gz` 结尾）安装，则有可能是我们没有提供和当前环境的 PyTorch 版本、CUDA 版本相匹配的 mmcv 预编译包，此时，你可以[源码安装 mmcv](https://mmcv.readthedocs.io/zh_CN/2.x/get_started/build.html)。
如果发现上述的安装命令没有使用预编译包（以 `.whl` 结尾）而是使用源码包（以 `.tar.gz` 结尾）安装，则有可能是我们没有提供和当前环境的 PyTorch 版本、CUDA 版本相匹配的 mmcv 预编译包，此时，你可以[源码安装 mmcv](https://mmcv.readthedocs.io/zh_CN/latest/get_started/build.html)。
<details>
<summary>使用预编译包的安装日志</summary>
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv<br />
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0rc3-cp38-cp38-manylinux1_x86_64.whl</b>
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0-cp38-cp38-manylinux1_x86_64.whl</b>
</details>
......@@ -92,12 +92,12 @@ Collecting mmcv<br />
<summary>使用源码包的安装日志</summary>
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv==2.0.0rc3<br />
<b>Downloading mmcv-2.0.0rc3.tar.gz</b>
Collecting mmcv==2.0.0<br />
<b>Downloading mmcv-2.0.0.tar.gz</b>
</details>
更多安装方式请参考[安装文档](https://mmcv.readthedocs.io/zh_CN/2.x/get_started/installation.html)。
更多安装方式请参考[安装文档](https://mmcv.readthedocs.io/zh_CN/latest/get_started/installation.html)。
### 安装 mmcv-lite
......@@ -105,12 +105,12 @@ Collecting mmcv==2.0.0rc3<br />
```bash
pip install -U openmim
mim install "mmcv-lite>=2.0.0rc1"
mim install mmcv-lite
```
## FAQ
如果你遇到了安装问题或者运行时问题，请查看[问题解决页面](https://mmcv.readthedocs.io/zh_CN/2.x/faq.html)是否已有解决方案。如果问题仍然没有解决，欢迎提 [issue](https://github.com/open-mmlab/mmcv/issues)。
如果你遇到了安装问题或者运行时问题，请查看[问题解决页面](https://mmcv.readthedocs.io/zh_CN/latest/faq.html)是否已有解决方案。如果问题仍然没有解决，欢迎提 [issue](https://github.com/open-mmlab/mmcv/issues)。
## 贡献指南
......
docs/en/_static/version.json
View file @ 7c136e79
{
"Linux": [
{
"cuda": "11.8",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.5",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.0",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -99,51 +134,62 @@
"cuda": "10.2",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -153,6 +199,7 @@
"cuda": "10.2",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -162,15 +209,18 @@
"cuda": "10.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.1",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -180,6 +230,7 @@
"cuda": "10.1",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -189,6 +240,7 @@
"cuda": "9.2",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -198,67 +250,88 @@
"cuda": "9.2",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
]
},
{
"cuda": "cpu",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -268,6 +341,7 @@
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -275,123 +349,164 @@
}
],
"Windows": [
{
"cuda": "11.8",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.5",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3"
]
},
......@@ -399,6 +514,7 @@
"cuda": "10.2",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -408,15 +524,18 @@
"cuda": "10.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.1",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3"
]
},
......@@ -424,67 +543,88 @@
"cuda": "10.1",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
]
},
{
"cuda": "cpu",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -494,6 +634,7 @@
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -501,17 +642,27 @@
}
],
"macOS": [
{
"cuda": "cpu",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "mps",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3"
]
},
......@@ -519,46 +670,57 @@
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
]
......@@ -567,6 +729,7 @@
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
]
......
docs/en/get_started/installation.md
View file @ 7c136e79
......@@ -25,7 +25,7 @@ If version information is output, then PyTorch is installed.
```bash
pip install -U openmim
mim install "mmcv>=2.0.0rc1"
mim install mmcv
```
If you find that the above installation command does not use a pre-built package ending with `.whl` but a source package ending with `.tar.gz`, you may not have a pre-build package corresponding to the PyTorch or CUDA or mmcv version, in which case you can [build mmcv from source](build.md).
......@@ -35,7 +35,7 @@ If you find that the above installation command does not use a pre-built package
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv<br />
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0rc3-cp38-cp38-manylinux1_x86_64.whl</b>
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0-cp38-cp38-manylinux1_x86_64.whl</b>
</details>
......@@ -43,15 +43,15 @@ Collecting mmcv<br />
<summary>Installation log using source packages</summary>
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv==2.0.0rc3<br />
<b>Downloading mmcv-2.0.0rc3.tar.gz</b>
Collecting mmcv==2.0.0<br />
<b>Downloading mmcv-2.0.0.tar.gz</b>
</details>
To install a specific version of mmcv, for example, mmcv version 2.0.0rc3, you can use the following command
To install a specific version of mmcv, for example, mmcv version 2.0.0, you can use the following command
```bash
mim install mmcv==2.0.0rc3
mim install mmcv==2.0.0
```
:::{note}
......@@ -62,12 +62,12 @@ you can first install it before installing MMCV to skip the installation of `ope
Alternatively, if it takes too long to install a dependency library, you can specify the pypi source
```bash
mim install "mmcv>=2.0.0rc3" -i https://pypi.tuna.tsinghua.edu.cn/simple
mim install mmcv -i https://pypi.tuna.tsinghua.edu.cn/simple
```
:::
You can run [check_installation.py](https://github.com/open-mmlab/mmcv/blob/2.x/.dev_scripts/check_installation.py) to check the installation of mmcv-full after running the installation commands.
You can run [check_installation.py](https://github.com/open-mmlab/mmcv/blob/main/.dev_scripts/check_installation.py) to check the installation of mmcv-full after running the installation commands.
#### Install with pip
......@@ -297,12 +297,12 @@ you can first install it before installing MMCV to skip the installation of `ope
Alternatively, if it takes too long to install a dependency library, you can specify the pypi source
```bash
mim install "mmcv>=2.0.0rc1" -i https://pypi.tuna.tsinghua.edu.cn/simple
mim install mmcv -i https://pypi.tuna.tsinghua.edu.cn/simple
```
:::
You can run [check_installation.py](https://github.com/open-mmlab/mmcv/blob/2.x/.dev_scripts/check_installation.py) to check the installation of mmcv after running the installation commands.
You can run [check_installation.py](https://github.com/open-mmlab/mmcv/blob/main/.dev_scripts/check_installation.py) to check the installation of mmcv after running the installation commands.
#### Using mmcv with Docker
......@@ -316,13 +316,13 @@ docker build -t mmcv -f docker/release/Dockerfile .
Or build with remote repository
```bash
docker build -t mmcv https://github.com/open-mmlab/mmcv.git#2.x:docker/release
docker build -t mmcv https://github.com/open-mmlab/mmcv.git#main:docker/release
```
The [Dockerfile](release/Dockerfile) installs latest released version of mmcv-full by default, but you can specify mmcv versions to install expected versions.
```bash
docker image build -t mmcv -f docker/release/Dockerfile --build-arg MMCV=2.0.0rc1 .
docker image build -t mmcv -f docker/release/Dockerfile --build-arg MMCV=2.0.0 .
```
If you also want to use other versions of PyTorch and CUDA, you can also pass them when building docker images.
......@@ -334,7 +334,7 @@ docker build -t mmcv -f docker/release/Dockerfile \
--build-arg PYTORCH=1.11.0 \
--build-arg CUDA=11.3 \
--build-arg CUDNN=8 \
--build-arg MMCV=2.0.0rc1 .
--build-arg MMCV=2.0.0 .
```
More available versions of PyTorch and CUDA can be found at [dockerhub/pytorch](https://hub.docker.com/r/pytorch/pytorch/tags).
......
docs/zh_cn/_static/version.json
View file @ 7c136e79
{
"Linux": [
{
"cuda": "11.8",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.5",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.0",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -99,51 +134,62 @@
"cuda": "10.2",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -153,6 +199,7 @@
"cuda": "10.2",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -162,15 +209,18 @@
"cuda": "10.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.1",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -180,6 +230,7 @@
"cuda": "10.1",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -189,6 +240,7 @@
"cuda": "9.2",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -198,67 +250,88 @@
"cuda": "9.2",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
]
},
{
"cuda": "cpu",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -268,6 +341,7 @@
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -275,123 +349,164 @@
}
],
"Windows": [
{
"cuda": "11.8",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "11.6",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.5",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.3",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "11.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.2",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3"
]
},
......@@ -399,6 +514,7 @@
"cuda": "10.2",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -408,15 +524,18 @@
"cuda": "10.1",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "10.1",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3"
]
},
......@@ -424,67 +543,88 @@
"cuda": "10.1",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
]
},
{
"cuda": "cpu",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
"2.0.0rc1",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -494,6 +634,7 @@
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2",
"2.0.0rc1"
......@@ -501,17 +642,27 @@
}
],
"macOS": [
{
"cuda": "cpu",
"torch": "2.0.x",
"mmcv": [
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc3"
"2.0.0rc4",
"2.0.0rc3",
"2.0.0"
]
},
{
"cuda": "mps",
"torch": "1.13.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3"
]
},
......@@ -519,46 +670,57 @@
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
"2.0.0rc2",
"2.0.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
]
......@@ -567,6 +729,7 @@
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"2.0.0rc4",
"2.0.0rc3",
"2.0.0rc2"
]
......
docs/zh_cn/get_started/installation.md
View file @ 7c136e79
......@@ -25,7 +25,7 @@ python -c 'import torch;print(torch.__version__)'
```bash
pip install -U openmim
mim install "mmcv>=2.0.0rc1"
mim install mmcv
```
如果发现上述的安装命令没有使用预编译包（以 `.whl` 结尾）而是使用源码包（以 `.tar.gz` 结尾）安装，则有可能是我们没有提供和当前环境的 PyTorch 版本、CUDA 版本相匹配的 mmcv 预编译包，此时，你可以[源码安装 mmcv](build.md)。
......@@ -35,7 +35,7 @@ mim install "mmcv>=2.0.0rc1"
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv<br />
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0rc3-cp38-cp38-manylinux1_x86_64.whl</b>
<b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv-2.0.0-cp38-cp38-manylinux1_x86_64.whl</b>
</details>
......@@ -43,15 +43,15 @@ Collecting mmcv<br />
<summary>使用源码包的安装日志</summary>
Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br />
Collecting mmcv==2.0.0rc3<br />
<b>Downloading mmcv-2.0.0rc3.tar.gz</b>
Collecting mmcv==2.0.0<br />
<b>Downloading mmcv-2.0.0.tar.gz</b>
</details>
如需安装指定版本的 mmcv，例如安装 2.0.0rc3 版本的 mmcv，可使用以下命令
如需安装指定版本的 mmcv，例如安装 2.0.0 版本的 mmcv，可使用以下命令
```bash
mim install mmcv==2.0.0rc3
mim install mmcv==2.0.0
```
:::{note}
......@@ -65,7 +65,7 @@ mim install "mmcv>=2.0.0rc1" -i https://pypi.tuna.tsinghua.edu.cn/simple
:::
安装完成后可以运行 [check_installation.py](https://github.com/open-mmlab/mmcv/blob/2.x/.dev_scripts/check_installation.py) 脚本检查 mmcv 是否安装成功。
安装完成后可以运行 [check_installation.py](https://github.com/open-mmlab/mmcv/blob/main/.dev_scripts/check_installation.py) 脚本检查 mmcv 是否安装成功。
#### 使用 pip 安装
......@@ -318,12 +318,12 @@ PyTorch 版本是 1.8.1，你可以放心选择 1.8.x。
另外，如果安装依赖库的时间过长，可以指定 pypi 源
```bash
pip install "mmcv>=2.0.0rc1" -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install mmcv -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html -i https://pypi.tuna.tsinghua.edu.cn/simple
```
:::
安装完成后可以运行 [check_installation.py](https://github.com/open-mmlab/mmcv/blob/2.x/.dev_scripts/check_installation.py) 脚本检查 mmcv 是否安装成功。
安装完成后可以运行 [check_installation.py](https://github.com/open-mmlab/mmcv/blob/main/.dev_scripts/check_installation.py) 脚本检查 mmcv 是否安装成功。
#### 使用 docker 镜像
......@@ -337,13 +337,13 @@ docker build -t mmcv -f docker/release/Dockerfile .
也可以直接使用下面的命令构建镜像
```bash
docker build -t mmcv https://github.com/open-mmlab/mmcv.git#2.x:docker/release
docker build -t mmcv https://github.com/open-mmlab/mmcv.git#main:docker/release
```
[Dockerfile](release/Dockerfile) 默认安装最新的 mmcv，如果你想要指定版本，可以使用下面的命令
```bash
docker image build -t mmcv -f docker/release/Dockerfile --build-arg MMCV=2.0.0rc1 .
docker image build -t mmcv -f docker/release/Dockerfile --build-arg MMCV=2.0.0 .
```
如果你想要使用其他版本的 PyTorch 和 CUDA，你可以在构建镜像时指定它们的版本。
......@@ -355,7 +355,7 @@ docker build -t mmcv -f docker/release/Dockerfile \
--build-arg PYTORCH=1.11.0 \
--build-arg CUDA=11.3 \
--build-arg CUDNN=8 \
--build-arg MMCV=2.0.0rc1 .
--build-arg MMCV=2.0.0 .
```
更多 PyTorch 和 CUDA 镜像可以点击 [dockerhub/pytorch](https://hub.docker.com/r/pytorch/pytorch/tags) 查看。
......
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