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Update supported pytorch versions () 

* Update supported pytorch versions

* update

* fix
pull/2403/head
Zaida Zhou 2022-11-11 15:40:50 +08:00 committed by GitHub
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6 changed files with 367 additions and 19 deletions

10
README.md
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@ -22,8 +22,8 @@
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmcv.readthedocs.io/en/latest/) [![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) [![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/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mmcv)](https://pypi.org/project/mmcv/)
[![pytorch](https://img.shields.io/badge/pytorch-1.5~1.12-orange)](https://pytorch.org/get-started/previous-versions/) [![pytorch](https://img.shields.io/badge/pytorch-1.5~1.13-orange)](https://pytorch.org/get-started/previous-versions/)
[![cuda](https://img.shields.io/badge/cuda-9.2~11.6-green)](https://developer.nvidia.com/cuda-downloads) [![cuda](https://img.shields.io/badge/cuda-9.2~11.7-green)](https://developer.nvidia.com/cuda-downloads)
[![PyPI](https://img.shields.io/pypi/v/mmcv)](https://pypi.org/project/mmcv) [![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) [![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) [![codecov](https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmcv)
@ -76,17 +76,17 @@ There are two versions of MMCV:
Before installing mmcv-full, make sure that PyTorch has been successfully installed following the [PyTorch official installation guide](https://github.com/pytorch/pytorch#installation). Before installing mmcv-full, make sure that PyTorch has been successfully installed following the [PyTorch official installation guide](https://github.com/pytorch/pytorch#installation).
The command to install mmcv-full on Linux or Windows platforms is as follows (if your system is macOS, please refer to [build mmcv-full from source](https://mmcv.readthedocs.io/en/latest/get_started/build.html#macos-mmcv-full)) The command to install mmcv-full:
```bash ```bash
pip install -U openmim pip install -U openmim
mim install mmcv-full mim install mmcv-full
``` ```
If you need to specify the version of mmcv-full, you can use the following command If you need to specify the version of mmcv-full, you can use the following command:
```bash ```bash
mim install mmcv-full==1.5.0 mim install mmcv-full==1.7.0
``` ```
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-full version, in which case you can [build mmcv-full from source](https://mmcv.readthedocs.io/en/latest/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-full version, in which case you can [build mmcv-full from source](https://mmcv.readthedocs.io/en/latest/get_started/build.html).

8
README_zh-CN.md
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@ -22,8 +22,8 @@
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmcv.readthedocs.io/zh_CN/latest/) [![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) [![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/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mmcv)](https://pypi.org/project/mmcv/)
[![pytorch](https://img.shields.io/badge/pytorch-1.5~1.12-orange)](https://pytorch.org/get-started/previous-versions/) [![pytorch](https://img.shields.io/badge/pytorch-1.5~1.13-orange)](https://pytorch.org/get-started/previous-versions/)
[![cuda](https://img.shields.io/badge/cuda-9.2~11.6-green)](https://developer.nvidia.com/cuda-downloads) [![cuda](https://img.shields.io/badge/cuda-9.2~11.7-green)](https://developer.nvidia.com/cuda-downloads)
[![PyPI](https://img.shields.io/pypi/v/mmcv)](https://pypi.org/project/mmcv) [![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) [![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) [![codecov](https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmcv)
@ -74,7 +74,7 @@ MMCV 有两个版本：
在安装 mmcv-full 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 [PyTorch 官方安装文档](https://github.com/pytorch/pytorch#installation)。 在安装 mmcv-full 之前，请确保 PyTorch 已经成功安装在环境中，可以参考 [PyTorch 官方安装文档](https://github.com/pytorch/pytorch#installation)。
在 Linux 和 Windows 平台安装 mmcv-full 的命令如下（如果你的系统是 macOS，请参考[源码安装 mmcv-full](https://mmcv.readthedocs.io/zh_CN/latest/get_started/build.html#macos-mmcv-full)） 安装 mmcv-full 的命令如下：
```bash ```bash
pip install -U openmim pip install -U openmim
@ -84,7 +84,7 @@ mim install mmcv-full
如果需要指定 mmcv-full 的版本，可以使用以下命令 如果需要指定 mmcv-full 的版本，可以使用以下命令
```bash ```bash
mim install mmcv-full==1.5.0 mim install mmcv-full==1.7.0
``` ```
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-full 预编译包，此时，你可以[源码安装 mmcv-full](https://mmcv.readthedocs.io/zh_CN/latest/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-full 预编译包，此时，你可以[源码安装 mmcv-full](https://mmcv.readthedocs.io/zh_CN/latest/get_started/build.html)。

170
docs/en/_static/version.json
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@ -1,9 +1,24 @@
{ {
"Linux": [ "Linux": [
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -13,6 +28,7 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -28,6 +44,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -37,6 +54,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -52,6 +70,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -77,6 +96,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -102,6 +122,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -134,6 +155,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -175,6 +197,7 @@
"cuda": "11.0", "cuda": "11.0",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -223,6 +246,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -232,6 +256,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -247,6 +272,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -272,6 +298,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -304,6 +331,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -345,6 +373,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -394,6 +423,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -451,6 +481,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -512,6 +543,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -553,6 +585,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -602,6 +635,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -659,6 +693,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -845,6 +880,7 @@
"cuda": "9.2", "cuda": "9.2",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -894,6 +930,7 @@
"cuda": "9.2", "cuda": "9.2",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -951,6 +988,7 @@
"cuda": "9.2", "cuda": "9.2",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1070,10 +1108,18 @@
"1.0.0" "1.0.0"
] ]
}, },
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1083,6 +1129,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1098,6 +1145,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1123,6 +1171,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1155,6 +1204,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1196,6 +1246,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1245,6 +1296,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1302,6 +1354,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1424,10 +1477,25 @@
} }
], ],
"Windows": [ "Windows": [
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1437,6 +1505,7 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1452,6 +1521,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1461,6 +1531,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1476,6 +1547,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1498,6 +1570,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1520,6 +1593,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1542,6 +1616,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1564,6 +1639,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1586,6 +1662,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1608,6 +1685,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1642,6 +1720,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1666,6 +1745,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1687,6 +1767,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1720,6 +1801,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1744,6 +1826,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1762,10 +1845,18 @@
"1.4.0" "1.4.0"
] ]
}, },
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1775,6 +1866,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1790,6 +1882,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1812,6 +1905,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1834,6 +1928,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1856,6 +1951,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1878,6 +1974,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1902,6 +1999,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1927,5 +2025,77 @@
"1.1.5" "1.1.5"
] ]
} }
],
"macOS": [
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "mps",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.5.x",
"mmcv": [
"1.7.0"
]
}
] ]
} }

14
docs/en/get_started/installation.md
View File

@ -12,7 +12,6 @@ Do not install both versions in the same environment, otherwise you may encounte
### Install mmcv-full ### Install mmcv-full
```{note} ```{note}
- The following installation steps are for Linux and Windows platforms only. To install mmcv-full on macOS platform, please refer to [build mmcv-full from source](build.md#build-on-macos).
- To compile ONNX Runtime custom operators, please refer to [How to build custom operators for ONNX Runtime](../deployment/onnxruntime_op.md#how-to-build-custom-operators-for-onnx-runtime) - To compile ONNX Runtime custom operators, please refer to [How to build custom operators for ONNX Runtime](../deployment/onnxruntime_op.md#how-to-build-custom-operators-for-onnx-runtime)
- To compile TensorRT customization, please refer to [How to build TensorRT plugins in MMCV](../deployment/tensorrt_plugin.md#how-to-build-tensorrt-plugins-in-mmcv) - To compile TensorRT customization, please refer to [How to build TensorRT plugins in MMCV](../deployment/tensorrt_plugin.md#how-to-build-tensorrt-plugins-in-mmcv)
``` ```
@ -54,10 +53,10 @@ Collecting mmcv-full==1.6.0<br />
</details> </details>
To install a specific version of mmcv-full, for example, mmcv-full version 1.6.0, you can use the following command To install a specific version of mmcv-full, for example, mmcv-full version 1.7.0, you can use the following command
```bash ```bash
mim install mmcv-full==1.6.0 mim install mmcv-full==1.7.0
``` ```
:::{note} :::{note}
@ -198,7 +197,12 @@ Select the appropriate installation command depending on the type of system, CUD
const cmd = document.getElementById("select-cmd"); const cmd = document.getElementById("select-cmd");
let cmdString = "pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html"; let cmdString = "pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html";
// e.g: pip install mmcv-full==1.6.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9/index.html // e.g: pip install mmcv-full==1.6.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9/index.html
const cudaVersion = `${cudaVal === "cpu" ? cudaVal : `cu${cudaVal.split(".").join("")}`}`; let cudaVersion;
if (cudaVal === "cpu" || cudaVal === "mps") {
cudaVersion = "cpu";
} else {
cudaVersion = `cu${cudaVal.split(".").join("")}`;
}
const torchVersion = `torch${torchVal.substring(0, torchVal.length - 2)}`; const torchVersion = `torch${torchVal.substring(0, torchVal.length - 2)}`;
cmdString = cmdString.replace("{cu_version}", cudaVersion).replace("{mmcv_version}", mmcvVal).replace("{torch_version}", torchVersion); cmdString = cmdString.replace("{cu_version}", cudaVersion).replace("{mmcv_version}", mmcvVal).replace("{torch_version}", torchVersion);
cmd.textContent = cmdString; cmd.textContent = cmdString;
@ -215,7 +219,7 @@ Select the appropriate installation command depending on the type of system, CUD
data.forEach(option => { data.forEach(option => {
const ele = document.createElement("option"); const ele = document.createElement("option");
let text = `${name} ${option}`; let text = `${name} ${option}`;
if (name === "os" || option.toUpperCase() === "CPU") { if (name === "os" || option.toUpperCase() === "CPU" || option.toUpperCase() === "MPS") {
text = `${option}`; text = `${option}`;
} }
ele.textContent = text; ele.textContent = text;

170
docs/zh_cn/_static/version.json
View File

@ -1,9 +1,24 @@
{ {
"Linux": [ "Linux": [
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -13,6 +28,7 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -28,6 +44,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -37,6 +54,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -52,6 +70,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -77,6 +96,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -102,6 +122,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -134,6 +155,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -175,6 +197,7 @@
"cuda": "11.0", "cuda": "11.0",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -223,6 +246,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -232,6 +256,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -247,6 +272,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -272,6 +298,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -304,6 +331,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -345,6 +373,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -394,6 +423,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -451,6 +481,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -512,6 +543,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -553,6 +585,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -602,6 +635,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -659,6 +693,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -845,6 +880,7 @@
"cuda": "9.2", "cuda": "9.2",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -894,6 +930,7 @@
"cuda": "9.2", "cuda": "9.2",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -951,6 +988,7 @@
"cuda": "9.2", "cuda": "9.2",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1070,10 +1108,18 @@
"1.0.0" "1.0.0"
] ]
}, },
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1083,6 +1129,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1098,6 +1145,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1123,6 +1171,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1155,6 +1204,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1196,6 +1246,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1245,6 +1296,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1302,6 +1354,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1424,10 +1477,25 @@
} }
], ],
"Windows": [ "Windows": [
{
"cuda": "11.7",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "11.6",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1437,6 +1505,7 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1452,6 +1521,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1461,6 +1531,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1476,6 +1547,7 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1498,6 +1570,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1520,6 +1593,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1542,6 +1616,7 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1564,6 +1639,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1586,6 +1662,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1608,6 +1685,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1642,6 +1720,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1666,6 +1745,7 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1687,6 +1767,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1720,6 +1801,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1744,6 +1826,7 @@
"cuda": "10.1", "cuda": "10.1",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1762,10 +1845,18 @@
"1.4.0" "1.4.0"
] ]
}, },
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0" "1.6.0"
@ -1775,6 +1866,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1790,6 +1882,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1812,6 +1905,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1834,6 +1928,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1856,6 +1951,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.7.x", "torch": "1.7.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1878,6 +1974,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.6.x", "torch": "1.6.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1902,6 +1999,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.5.x", "torch": "1.5.x",
"mmcv": [ "mmcv": [
"1.7.0",
"1.6.2", "1.6.2",
"1.6.1", "1.6.1",
"1.6.0", "1.6.0",
@ -1927,5 +2025,77 @@
"1.1.5" "1.1.5"
] ]
} }
],
"macOS": [
{
"cuda": "cpu",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "mps",
"torch": "1.13.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.12.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.11.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.10.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.9.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.8.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.7.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.6.x",
"mmcv": [
"1.7.0"
]
},
{
"cuda": "cpu",
"torch": "1.5.x",
"mmcv": [
"1.7.0"
]
}
] ]
} }

14
docs/zh_cn/get_started/installation.md
View File

@ -12,7 +12,6 @@ MMCV 有两个版本：
### 安装 mmcv-full ### 安装 mmcv-full
```{note} ```{note}
- 下述安装步骤仅适用于 Linux 和 Windows 平台，如需在 macOS 平台安装 mmcv-full，请参考[源码安装 mmcv-full](build.md#在-macos-上编译-mmcv-full)。
- 如需编译 ONNX Runtime 自定义算子，请参考[如何编译ONNX Runtime自定义算子](../deployment/onnxruntime_op.md#如何编译onnx-runtime自定义算子) - 如需编译 ONNX Runtime 自定义算子，请参考[如何编译ONNX Runtime自定义算子](../deployment/onnxruntime_op.md#如何编译onnx-runtime自定义算子)
- 如需编译 TensorRT 自定义，请参考[如何编译MMCV中的TensorRT插件](../deployment/tensorrt_plugin.md#如何编译mmcv中的tensorrt插件) - 如需编译 TensorRT 自定义，请参考[如何编译MMCV中的TensorRT插件](../deployment/tensorrt_plugin.md#如何编译mmcv中的tensorrt插件)
``` ```
@ -54,10 +53,10 @@ Collecting mmcv-full==1.6.0<br />
</details> </details>
如需安装指定版本的 mmcv-full，例如安装 1.6.0 版本的 mmcv-full，可使用以下命令 如需安装指定版本的 mmcv-full，例如安装 1.7.0 版本的 mmcv-full，可使用以下命令
```bash ```bash
mim install mmcv-full==1.6.0 mim install mmcv-full==1.7.0
``` ```
:::{note} :::{note}
@ -196,7 +195,12 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)'
const cmd = document.getElementById("select-cmd"); const cmd = document.getElementById("select-cmd");
let cmdString = "pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html"; let cmdString = "pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html";
// e.g: pip install mmcv-full==1.6.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9/index.html // e.g: pip install mmcv-full==1.6.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9/index.html
const cudaVersion = `${cudaVal === "cpu" ? cudaVal : `cu${cudaVal.split(".").join("")}`}`; let cudaVersion;
if (cudaVal === "cpu" || cudaVal === "mps") {
cudaVersion = "cpu";
} else {
cudaVersion = `cu${cudaVal.split(".").join("")}`;
}
const torchVersion = `torch${torchVal.substring(0, torchVal.length - 2)}`; const torchVersion = `torch${torchVal.substring(0, torchVal.length - 2)}`;
cmdString = cmdString.replace("{cu_version}", cudaVersion).replace("{mmcv_version}", mmcvVal).replace("{torch_version}", torchVersion); cmdString = cmdString.replace("{cu_version}", cudaVersion).replace("{mmcv_version}", mmcvVal).replace("{torch_version}", torchVersion);
cmd.textContent = cmdString; cmd.textContent = cmdString;
@ -213,7 +217,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)'
data.forEach(option => { data.forEach(option => {
const ele = document.createElement("option"); const ele = document.createElement("option");
let text = `${name} ${option}`; let text = `${name} ${option}`;
if (name === "os" || option.toUpperCase() === "CPU") { if (name === "os" || option.toUpperCase() === "CPU" || option.toUpperCase() === "MPS") {
text = `${option}`; text = `${option}`;
} }
ele.textContent = text; ele.textContent = text;