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Commit 0e2f8a5c authored by limm's avatar limm
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add v2.2.0

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README.md
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...@@ -14,13 +14,14 @@ pip install mmcv* (下载的mmcv的whl包) ...@@ -14,13 +14,14 @@ pip install mmcv* (下载的mmcv的whl包)
### 2、使用源码编译方式安装 ### 2、使用源码编译方式安装
#### 编译环境准备 #### 编译环境准备
提供2种环境准备方式： 提供基于fastpt不转码编译：
1. 基于光源pytorch基础镜像环境：镜像下载地址：[https://sourcefind.cn/#/image/dcu/pytorch](https://sourcefind.cn/#/image/dcu/pytorch)，根据pytorch、python、dtk及系统下载对应的镜像版本。 1. 基于光源pytorch基础镜像环境：镜像下载地址：[https://sourcefind.cn/#/image/dcu/pytorch](https://sourcefind.cn/#/image/dcu/pytorch)，根据pytorch、python、dtk及系统下载对应的镜像版本。
2. 基于现有python环境：安装pytorch，pytorch whl包下载目录：[http://10.6.10.68:8000/debug/pytorch/dtk24.04.1/](http://10.6.10.68:8000/debug/pytorch/dtk24.04.1/)，根据python、dtk版本,下载对应pytorch的whl包。安装命令如下： 2. 基于现有python环境：安装pytorch，fastpt whl包下载目录：[http://10.6.10.68:8000/debug/pytorch/dtk24.04.1/](http://10.6.10.68:8000/debug/pytorch/dtk24.04.1/)，根据python、dtk版本,下载对应pytorch的whl包。安装命令如下：
```shell ```shell
pip install torch* (下载的torch的whl包) pip install torch* (下载的torch的whl包)
pip install fastpt* (下载的fastpt的whl包, 安装顺序， 先安装torch，后安装fastpt)
pip install setuptools==59.5.0 wheel pip install setuptools==59.5.0 wheel
``` ```
...@@ -31,11 +32,15 @@ git clone https://developer.hpccube.com/codes/aicomponent/mmcv # 根据编译需 ...@@ -31,11 +32,15 @@ git clone https://developer.hpccube.com/codes/aicomponent/mmcv # 根据编译需
``` ```
- 提供2种源码编译方式（进入mmcv目录）： - 提供2种源码编译方式（进入mmcv目录）：
``` ```
1. 编译whl包并安装 1. 设置不转码编译环境变量
source /opt/dtk/cuda/env.sh
export USE_FASTPT_CUDA=True
2. 编译whl包并安装
MMCV_WITH_OPS=1 python3 setup.py -v bdist_wheel MMCV_WITH_OPS=1 python3 setup.py -v bdist_wheel
pip install dist/mmcv* pip install dist/mmcv*
2. 源码编译安装 3. 源码编译安装
MMCV_WITH_OPS=1 python3 setup.py install MMCV_WITH_OPS=1 python3 setup.py install
``` ```
#### 注意事项 #### 注意事项
......
docs/en/_static/version.json
View file @ 0e2f8a5c
{ {
"Linux": [ "Linux": [
{
"cuda": "12.1",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{
"cuda": "11.8",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "11.8", "cuda": "11.8",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -11,6 +27,8 @@ ...@@ -11,6 +27,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -18,6 +36,8 @@ ...@@ -18,6 +36,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -27,6 +47,8 @@ ...@@ -27,6 +47,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -36,6 +58,8 @@ ...@@ -36,6 +58,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -47,6 +71,8 @@ ...@@ -47,6 +71,8 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -58,6 +84,8 @@ ...@@ -58,6 +84,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -69,6 +97,8 @@ ...@@ -69,6 +97,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -80,6 +110,8 @@ ...@@ -80,6 +110,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -91,6 +123,8 @@ ...@@ -91,6 +123,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -102,6 +136,8 @@ ...@@ -102,6 +136,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -113,6 +149,8 @@ ...@@ -113,6 +149,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -134,6 +172,8 @@ ...@@ -134,6 +172,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -145,6 +185,8 @@ ...@@ -145,6 +185,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -156,6 +198,8 @@ ...@@ -156,6 +198,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -167,6 +211,8 @@ ...@@ -167,6 +211,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -178,6 +224,8 @@ ...@@ -178,6 +224,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -205,10 +253,19 @@ ...@@ -205,10 +253,19 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "10.2",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3"
]
},
{ {
"cuda": "10.1", "cuda": "10.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -236,6 +293,13 @@ ...@@ -236,6 +293,13 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "10.1",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3"
]
},
{ {
"cuda": "9.2", "cuda": "9.2",
"torch": "1.7.x", "torch": "1.7.x",
...@@ -256,10 +320,27 @@ ...@@ -256,10 +320,27 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "9.2",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3",
"2.0.0rc2"
]
},
{
"cuda": "cpu",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -267,6 +348,8 @@ ...@@ -267,6 +348,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -276,6 +359,8 @@ ...@@ -276,6 +359,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -287,6 +372,8 @@ ...@@ -287,6 +372,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -298,6 +385,8 @@ ...@@ -298,6 +385,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -309,6 +398,8 @@ ...@@ -309,6 +398,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -320,6 +411,8 @@ ...@@ -320,6 +411,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -346,13 +439,37 @@ ...@@ -346,13 +439,37 @@
"2.0.0rc2", "2.0.0rc2",
"2.0.0rc1" "2.0.0rc1"
] ]
},
{
"cuda": "cpu",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3",
"2.0.0rc2"
]
} }
], ],
"Windows": [ "Windows": [
{
"cuda": "12.1",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{
"cuda": "11.8",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "11.8", "cuda": "11.8",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -360,6 +477,8 @@ ...@@ -360,6 +477,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -367,6 +486,8 @@ ...@@ -367,6 +486,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -376,6 +497,8 @@ ...@@ -376,6 +497,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -385,6 +508,8 @@ ...@@ -385,6 +508,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -396,6 +521,8 @@ ...@@ -396,6 +521,8 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -407,6 +534,8 @@ ...@@ -407,6 +534,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -418,6 +547,8 @@ ...@@ -418,6 +547,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -429,6 +560,8 @@ ...@@ -429,6 +560,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -440,6 +573,8 @@ ...@@ -440,6 +573,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -451,6 +586,8 @@ ...@@ -451,6 +586,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -462,6 +599,8 @@ ...@@ -462,6 +599,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -473,6 +612,8 @@ ...@@ -473,6 +612,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -484,6 +625,8 @@ ...@@ -484,6 +625,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -495,6 +638,8 @@ ...@@ -495,6 +638,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -549,10 +694,19 @@ ...@@ -549,10 +694,19 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "cpu",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -560,6 +714,8 @@ ...@@ -560,6 +714,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -569,6 +725,8 @@ ...@@ -569,6 +725,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -580,6 +738,8 @@ ...@@ -580,6 +738,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -591,6 +751,8 @@ ...@@ -591,6 +751,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -602,6 +764,8 @@ ...@@ -602,6 +764,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -613,6 +777,8 @@ ...@@ -613,6 +777,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -642,10 +808,18 @@ ...@@ -642,10 +808,18 @@
} }
], ],
"macOS": [ "macOS": [
{
"cuda": "cpu",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -653,6 +827,7 @@ ...@@ -653,6 +827,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -670,6 +845,7 @@ ...@@ -670,6 +845,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -680,6 +856,7 @@ ...@@ -680,6 +856,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -690,6 +867,7 @@ ...@@ -690,6 +867,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -700,6 +878,7 @@ ...@@ -700,6 +878,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -710,6 +889,7 @@ ...@@ -710,6 +889,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
......
docs/en/get_started/api_reference.md 0 → 100644
View file @ 0e2f8a5c
This diff is collapsed.
docs/en/get_started/installation.md
View file @ 0e2f8a5c
...@@ -81,70 +81,83 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -81,70 +81,83 @@ Select the appropriate installation command depending on the type of system, CUD
<html> <html>
<body> <body>
<style> <style>
select { select {
z-index: 1000; /*z-index: 1000;*/
position: absolute; position: absolute;
top: 10px; top: 10px;
width: 6.7rem; width: 6.7rem;
} }
#select-container { #select-container {
position: relative; position: relative;
height: 30px; height: 30px;
} }
#select-cmd { #select-cmd {
background-color: #f5f6f7; background-color: #f5f6f7;
font-size: 14px; font-size: 14px;
margin-top: 20px; margin-top: 20px;
} }
/* 让每一个都间隔1.3rem */ /* 让每一个都间隔1.3rem */
#select-os { #select-os {
/* left: 1.375rem; */ /* left: 1.375rem; */
left: 0; left: 0;
} }
#select-cuda { #select-cuda {
/* left: 9.375rem; 9.375 = 1.375 + 6.7 + 1.3 */ /* left: 9.375rem; 9.375 = 1.375 + 6.7 + 1.3 */
left: 8rem; left: 8rem;
} }
#select-torch { #select-torch {
/* left: 17.375rem; 17.375 = 9.375 + 6.7 + 1.3 */ /* left: 17.375rem; 17.375 = 9.375 + 6.7 + 1.3 */
left: 16rem; left: 16rem;
} }
#select-mmcv { #select-mmcv {
/* left: 25.375rem; 25.375 = 17.375 + 6.7 + 1.3 */ /* left: 25.375rem; 25.375 = 17.375 + 6.7 + 1.3 */
left: 24rem; left: 24rem;
} }
</style> </style>
<div id="select-container"> <div id="select-container">
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.id))"
onchange="changeOS(this.value)" onchange="changeOS(this.value)"
id="select-os"> id="select-os">
</select> </select>
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.is))"
onchange="changeCUDA(this.value)" onchange="changeCUDA(this.value)"
id="select-cuda"> id="select-cuda">
</select> </select>
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.is))"
onchange="changeTorch(this.value)" onchange="changeTorch(this.value)"
id="select-torch"> id="select-torch">
</select> </select>
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.is))"
onchange="changeMMCV(this.value)" onchange="changeMMCV(this.value)"
id="select-mmcv"> id="select-mmcv">
</select> </select>
</div> </div>
<pre id="select-cmd"></pre> <pre id="select-cmd"></pre>
</body> </body>
<script> <script>
// 各个select当前的值
let osVal, cudaVal, torchVal, mmcvVal; let osVal, cudaVal, torchVal, mmcvVal;
function clickOutside(targetDom, handler) {
const clickHandler = (e) => {
if (!targetDom || targetDom.contains(e.target)) return;
handler?.();
document.removeEventListener('click', clickHandler, false);
};
document.addEventListener('click', clickHandler, false);
}
function changeMMCV(val) { function changeMMCV(val) {
mmcvVal = val; mmcvVal = val;
change("select-mmcv"); change("select-mmcv");
...@@ -161,11 +174,12 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -161,11 +174,12 @@ Select the appropriate installation command depending on the type of system, CUD
osVal = val; osVal = val;
change("select-os"); change("select-os");
} }
// 控制size大小相关的几个方法
function handleSelectMouseDown(id) { function handleSelectMouseDown(id) {
const dom = document.getElementById(id); const dom = document.getElementById(id);
if (!dom) return; if (!dom) return;
const len = dom?.options?.length; const len = dom?.options?.length;
if (len >= 9) { if (len >= 10) {
dom.size = 10; dom.size = 10;
dom.style.zIndex = 100; dom.style.zIndex = 100;
} }
...@@ -179,6 +193,7 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -179,6 +193,7 @@ Select the appropriate installation command depending on the type of system, CUD
function handleSelectBlur(id) { function handleSelectBlur(id) {
const dom = document.getElementById(id); const dom = document.getElementById(id);
if (!dom) { if (!dom) {
// 如果没有指定特定的id，那就直接把所有的select都设置成size = 1
handleSelectClick(); handleSelectClick();
return; return;
} }
...@@ -199,10 +214,12 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -199,10 +214,12 @@ Select the appropriate installation command depending on the type of system, CUD
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;
} }
// string数组去重
function unique(arr) { function unique(arr) {
if (!arr || !Array.isArray(arr)) return []; if (!arr || !Array.isArray(arr)) return [];
return [...new Set(arr)]; return [...new Set(arr)];
} }
// 根据string数组生成option的DocumentFragment
function genOptionFragment(data, id) { function genOptionFragment(data, id) {
const name = id.includes("-")? id.split("-")[1] : id; const name = id.includes("-")? id.split("-")[1] : id;
const fragment = new DocumentFragment(); const fragment = new DocumentFragment();
...@@ -213,23 +230,33 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -213,23 +230,33 @@ Select the appropriate installation command depending on the type of system, CUD
text = `${option}`; text = `${option}`;
} }
ele.textContent = text; ele.textContent = text;
// 添加value属性，方便下拉框选择时直接读到数据
ele.value = option; ele.value = option;
// 添加点击事件监听
ele.addEventListener('click', handleSelectClick); ele.addEventListener('click', handleSelectClick);
fragment.appendChild(ele); fragment.appendChild(ele);
}); });
return fragment; return fragment;
} }
// 在dom树中找到id对应的dom（select元素），并将生成的options添加到元素内
function findAndAppend(data, id) { function findAndAppend(data, id) {
const fragment = genOptionFragment(data, id); const fragment = genOptionFragment(data, id);
const dom = document.getElementById(id); const dom = document.getElementById(id);
if (dom) dom.replaceChildren(fragment); if (dom) dom.replaceChildren(fragment);
} }
/**
* change方法的重点在于
* 1. 各个下拉框数据的联动
* OS ==> cuda ==> torch ==> mmcv
* 2. 命令行的修改
*/
function change(id) { function change(id) {
const order = ["select-mmcv", "select-torch", "select-cuda", "select-os"]; const order = ["select-mmcv", "select-torch", "select-cuda", "select-os"];
const idx = order.indexOf(id); const idx = order.indexOf(id);
if (idx === -1) return; if (idx === -1) return;
const versionDetail = version[osVal]; const versionDetail = version[osVal];
if (idx >= 3) { if (idx >= 3) {
// 根据os修改cuda
let cuda = []; let cuda = [];
versionDetail.forEach(v => { versionDetail.forEach(v => {
cuda.push(v.cuda); cuda.push(v.cuda);
...@@ -239,6 +266,7 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -239,6 +266,7 @@ Select the appropriate installation command depending on the type of system, CUD
findAndAppend(cuda, "select-cuda"); findAndAppend(cuda, "select-cuda");
} }
if (idx >= 2) { if (idx >= 2) {
// 根据cuda修改torch
const torch = []; const torch = [];
versionDetail.forEach(v => { versionDetail.forEach(v => {
if (v.cuda === cudaVal) torch.push(v.torch); if (v.cuda === cudaVal) torch.push(v.torch);
...@@ -247,6 +275,7 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -247,6 +275,7 @@ Select the appropriate installation command depending on the type of system, CUD
findAndAppend(torch, "select-torch"); findAndAppend(torch, "select-torch");
} }
if (idx >= 1) { if (idx >= 1) {
// 根据torch修改mmcv
let mmcv = []; let mmcv = [];
versionDetail.forEach(v => { versionDetail.forEach(v => {
if (v.cuda === cudaVal && v.torch === torchVal) mmcv = v.mmcv; if (v.cuda === cudaVal && v.torch === torchVal) mmcv = v.mmcv;
...@@ -256,21 +285,30 @@ Select the appropriate installation command depending on the type of system, CUD ...@@ -256,21 +285,30 @@ Select the appropriate installation command depending on the type of system, CUD
} }
changeCmd(); changeCmd();
} }
// 初始化，处理version数据，并调用findAndAppend
function init() { function init() {
document.addEventListener("click", handleSelectBlur); // 增加一个全局的click事件监听，作为select onBlur事件失效的兜底
// document.addEventListener("click", handleSelectBlur);
const version = window.version; const version = window.version;
// OS
const os = Object.keys(version); const os = Object.keys(version);
osVal = os[0]; osVal = os[0];
findAndAppend(os, "select-os"); findAndAppend(os, "select-os");
change("select-os"); change("select-os");
changeCmd(); changeCmd();
} }
// 利用xhr获取本地version数据，如果作为html直接浏览的话需要使用本地服务器打开，否则会有跨域问题
window.onload = function () { window.onload = function () {
const url = "../_static/version.json" const url = "../_static/version.json"
// 申明一个XMLHttpRequest
const request = new XMLHttpRequest(); const request = new XMLHttpRequest();
// 设置请求方法与路径
request.open("get", url); request.open("get", url);
// 不发送数据到服务器
request.send(null); request.send(null);
//XHR对象获取到返回信息后执行
request.onload = function () { request.onload = function () {
// 返回状态为200，即为数据获取成功
if (request.status !== 200) return; if (request.status !== 200) return;
const data = JSON.parse(request.responseText); const data = JSON.parse(request.responseText);
window.version = data; window.version = data;
......
docs/en/index.rst
View file @ 0e2f8a5c
...@@ -10,6 +10,7 @@ You can switch between Chinese and English documents in the lower-left corner of ...@@ -10,6 +10,7 @@ You can switch between Chinese and English documents in the lower-left corner of
get_started/introduction.md get_started/introduction.md
get_started/installation.md get_started/installation.md
get_started/build.md get_started/build.md
get_started/api_reference.md
.. toctree:: .. toctree::
:maxdepth: 2 :maxdepth: 2
......
docs/en/understand_mmcv/ops.md
View file @ 0e2f8a5c
...@@ -6,13 +6,13 @@ We implement common ops used in detection, segmentation, etc. ...@@ -6,13 +6,13 @@ We implement common ops used in detection, segmentation, etc.
| ---------------------------- | --- | ---- | --- | --- | ------ | | ---------------------------- | --- | ---- | --- | --- | ------ |
| ActiveRotatedFilter | √ | √ | | | √ | | ActiveRotatedFilter | √ | √ | | | √ |
| AssignScoreWithK | | √ | | | | | AssignScoreWithK | | √ | | | |
| BallQuery | | √ | √ | | | | BallQuery | | √ | √ | | √ |
| BBoxOverlaps | | √ | √ | √ | √ | | BBoxOverlaps | | √ | √ | √ | √ |
| BorderAlign | | √ | | | | | BorderAlign | | √ | | | |
| BoxIouRotated | √ | √ | √ | | √ | | BoxIouRotated | √ | √ | √ | | √ |
| BoxIouQuadri | √ | √ | | | | | BoxIouQuadri | √ | √ | | | |
| CARAFE | | √ | √ | | | | CARAFE | | √ | √ | | |
| ChamferDistance | | √ | | | | | ChamferDistance | | √ | | | √ |
| CrissCrossAttention | | √ | | | | | CrissCrossAttention | | √ | | | |
| ContourExpand | √ | | | | | | ContourExpand | √ | | | | |
| ConvexIoU | | √ | | | | | ConvexIoU | | √ | | | |
...@@ -33,7 +33,7 @@ We implement common ops used in detection, segmentation, etc. ...@@ -33,7 +33,7 @@ We implement common ops used in detection, segmentation, etc.
| MergeCells | | √ | | | | | MergeCells | | √ | | | |
| MinAreaPolygon | | √ | | | | | MinAreaPolygon | | √ | | | |
| ModulatedDeformConv2d | √ | √ | √ | | √ | | ModulatedDeformConv2d | √ | √ | √ | | √ |
| MultiScaleDeformableAttn | | √ | √ | | | | MultiScaleDeformableAttn | | √ | √ | | √ |
| NMS | √ | √ | √ | | √ | | NMS | √ | √ | √ | | √ |
| NMSRotated | √ | √ | √ | | √ | | NMSRotated | √ | √ | √ | | √ |
| NMSQuadri | √ | √ | | | | | NMSQuadri | √ | √ | | | |
...@@ -41,10 +41,10 @@ We implement common ops used in detection, segmentation, etc. ...@@ -41,10 +41,10 @@ We implement common ops used in detection, segmentation, etc.
| PointsInBoxes | √ | √ | | | | | PointsInBoxes | √ | √ | | | |
| PointsInPolygons | | √ | | | √ | | PointsInPolygons | | √ | | | √ |
| PSAMask | √ | √ | √ | | √ | | PSAMask | √ | √ | √ | | √ |
| RotatedFeatureAlign | √ | √ | √ | | | | RotatedFeatureAlign | √ | √ | √ | | √ |
| RoIPointPool3d | | √ | √ | | | | RoIPointPool3d | | √ | √ | | |
| RoIPool | | √ | √ | | √ | | RoIPool | | √ | √ | | √ |
| RoIAlignRotated | √ | √ | √ | | | | RoIAlignRotated | √ | √ | √ | | √ |
| RiRoIAlignRotated | | √ | | | | | RiRoIAlignRotated | | √ | | | |
| RoIAlign | √ | √ | √ | | √ | | RoIAlign | √ | √ | √ | | √ |
| RoIAwarePool3d | | √ | √ | | | | RoIAwarePool3d | | √ | √ | | |
......
docs/zh_cn/_static/version.json
View file @ 0e2f8a5c
{ {
"Linux": [ "Linux": [
{
"cuda": "12.1",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{
"cuda": "11.8",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "11.8", "cuda": "11.8",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -11,6 +27,8 @@ ...@@ -11,6 +27,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -18,6 +36,8 @@ ...@@ -18,6 +36,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -27,6 +47,8 @@ ...@@ -27,6 +47,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -36,6 +58,8 @@ ...@@ -36,6 +58,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -47,6 +71,8 @@ ...@@ -47,6 +71,8 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -58,6 +84,8 @@ ...@@ -58,6 +84,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -69,6 +97,8 @@ ...@@ -69,6 +97,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -80,6 +110,8 @@ ...@@ -80,6 +110,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -91,6 +123,8 @@ ...@@ -91,6 +123,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -102,6 +136,8 @@ ...@@ -102,6 +136,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -113,6 +149,8 @@ ...@@ -113,6 +149,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -134,6 +172,8 @@ ...@@ -134,6 +172,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -145,6 +185,8 @@ ...@@ -145,6 +185,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -156,6 +198,8 @@ ...@@ -156,6 +198,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -167,6 +211,8 @@ ...@@ -167,6 +211,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -178,6 +224,8 @@ ...@@ -178,6 +224,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -205,10 +253,19 @@ ...@@ -205,10 +253,19 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "10.2",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3"
]
},
{ {
"cuda": "10.1", "cuda": "10.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -236,6 +293,13 @@ ...@@ -236,6 +293,13 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "10.1",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3"
]
},
{ {
"cuda": "9.2", "cuda": "9.2",
"torch": "1.7.x", "torch": "1.7.x",
...@@ -256,10 +320,27 @@ ...@@ -256,10 +320,27 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "9.2",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3",
"2.0.0rc2"
]
},
{
"cuda": "cpu",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -267,6 +348,8 @@ ...@@ -267,6 +348,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -276,6 +359,8 @@ ...@@ -276,6 +359,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -287,6 +372,8 @@ ...@@ -287,6 +372,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -298,6 +385,8 @@ ...@@ -298,6 +385,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -309,6 +398,8 @@ ...@@ -309,6 +398,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -320,6 +411,8 @@ ...@@ -320,6 +411,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -346,13 +439,37 @@ ...@@ -346,13 +439,37 @@
"2.0.0rc2", "2.0.0rc2",
"2.0.0rc1" "2.0.0rc1"
] ]
},
{
"cuda": "cpu",
"torch": "1.5.x",
"mmcv": [
"2.0.0rc3",
"2.0.0rc2"
]
} }
], ],
"Windows": [ "Windows": [
{
"cuda": "12.1",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{
"cuda": "11.8",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "11.8", "cuda": "11.8",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -360,6 +477,8 @@ ...@@ -360,6 +477,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -367,6 +486,8 @@ ...@@ -367,6 +486,8 @@
"cuda": "11.7", "cuda": "11.7",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -376,6 +497,8 @@ ...@@ -376,6 +497,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -385,6 +508,8 @@ ...@@ -385,6 +508,8 @@
"cuda": "11.6", "cuda": "11.6",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -396,6 +521,8 @@ ...@@ -396,6 +521,8 @@
"cuda": "11.5", "cuda": "11.5",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -407,6 +534,8 @@ ...@@ -407,6 +534,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -418,6 +547,8 @@ ...@@ -418,6 +547,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -429,6 +560,8 @@ ...@@ -429,6 +560,8 @@
"cuda": "11.3", "cuda": "11.3",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -440,6 +573,8 @@ ...@@ -440,6 +573,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -451,6 +586,8 @@ ...@@ -451,6 +586,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -462,6 +599,8 @@ ...@@ -462,6 +599,8 @@
"cuda": "11.1", "cuda": "11.1",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -473,6 +612,8 @@ ...@@ -473,6 +612,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -484,6 +625,8 @@ ...@@ -484,6 +625,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -495,6 +638,8 @@ ...@@ -495,6 +638,8 @@
"cuda": "10.2", "cuda": "10.2",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -549,10 +694,19 @@ ...@@ -549,10 +694,19 @@
"2.0.0rc1" "2.0.0rc1"
] ]
}, },
{
"cuda": "cpu",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -560,6 +714,8 @@ ...@@ -560,6 +714,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -569,6 +725,8 @@ ...@@ -569,6 +725,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -580,6 +738,8 @@ ...@@ -580,6 +738,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -591,6 +751,8 @@ ...@@ -591,6 +751,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -602,6 +764,8 @@ ...@@ -602,6 +764,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -613,6 +777,8 @@ ...@@ -613,6 +777,8 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.1",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -642,10 +808,18 @@ ...@@ -642,10 +808,18 @@
} }
], ],
"macOS": [ "macOS": [
{
"cuda": "cpu",
"torch": "2.1.x",
"mmcv": [
"2.1.0"
]
},
{ {
"cuda": "cpu", "cuda": "cpu",
"torch": "2.0.x", "torch": "2.0.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0" "2.0.0"
] ]
}, },
...@@ -653,6 +827,7 @@ ...@@ -653,6 +827,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.13.x", "torch": "1.13.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0" "2.0.0"
...@@ -670,6 +845,7 @@ ...@@ -670,6 +845,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.12.x", "torch": "1.12.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -680,6 +856,7 @@ ...@@ -680,6 +856,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.11.x", "torch": "1.11.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -690,6 +867,7 @@ ...@@ -690,6 +867,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.10.x", "torch": "1.10.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -700,6 +878,7 @@ ...@@ -700,6 +878,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.9.x", "torch": "1.9.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
...@@ -710,6 +889,7 @@ ...@@ -710,6 +889,7 @@
"cuda": "cpu", "cuda": "cpu",
"torch": "1.8.x", "torch": "1.8.x",
"mmcv": [ "mmcv": [
"2.1.0",
"2.0.0rc4", "2.0.0rc4",
"2.0.0rc3", "2.0.0rc3",
"2.0.0rc2", "2.0.0rc2",
......
docs/zh_cn/get_started/api_reference.md 0 → 100644
View file @ 0e2f8a5c
This diff is collapsed.
docs/zh_cn/get_started/installation.md
View file @ 0e2f8a5c
...@@ -79,71 +79,83 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)' ...@@ -79,71 +79,83 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)'
<html> <html>
<body> <body>
<style> <style>
select { select {
z-index: 1000; /*z-index: 1000;*/
position: absolute; position: absolute;
top: 10px; top: 10px;
width: 6.7rem; width: 6.7rem;
} }
#select-container { #select-container {
position: relative; position: relative;
height: 30px; height: 30px;
} }
#select-cmd { #select-cmd {
background-color: #f5f6f7; background-color: #f5f6f7;
font-size: 14px; font-size: 14px;
margin-top: 20px; margin-top: 20px;
} }
/* 让每一个都间隔1.3rem */ /* 让每一个都间隔1.3rem */
#select-os { #select-os {
/* left: 1.375rem; */ /* left: 1.375rem; */
left: 0; left: 0;
} }
#select-cuda { #select-cuda {
/* left: 9.375rem; 9.375 = 1.375 + 6.7 + 1.3 */ /* left: 9.375rem; 9.375 = 1.375 + 6.7 + 1.3 */
left: 8rem; left: 8rem;
} }
#select-torch { #select-torch {
/* left: 17.375rem; 17.375 = 9.375 + 6.7 + 1.3 */ /* left: 17.375rem; 17.375 = 9.375 + 6.7 + 1.3 */
left: 16rem; left: 16rem;
} }
#select-mmcv { #select-mmcv {
/* left: 25.375rem; 25.375 = 17.375 + 6.7 + 1.3 */ /* left: 25.375rem; 25.375 = 17.375 + 6.7 + 1.3 */
left: 24rem; left: 24rem;
} }
</style> </style>
<div id="select-container"> <div id="select-container">
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.id))"
onchange="changeOS(this.value)" onchange="changeOS(this.value)"
id="select-os"> id="select-os">
</select> </select>
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.is))"
onchange="changeCUDA(this.value)" onchange="changeCUDA(this.value)"
id="select-cuda"> id="select-cuda">
</select> </select>
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.is))"
onchange="changeTorch(this.value)" onchange="changeTorch(this.value)"
id="select-torch"> id="select-torch">
</select> </select>
<select <select
size="1"
onmousedown="handleSelectMouseDown(this.id)" onmousedown="handleSelectMouseDown(this.id)"
onblur="handleSelectBlur(this.id)" onclick="clickOutside(this, () => handleSelectBlur(this.is))"
onchange="changeMMCV(this.value)" onchange="changeMMCV(this.value)"
id="select-mmcv"> id="select-mmcv">
</select> </select>
</div> </div>
<pre id="select-cmd"></pre> <pre id="select-cmd"></pre>
</body> </body>
<script> <script>
// 各个select当前的值 // 各个select当前的值
let osVal, cudaVal, torchVal, mmcvVal; let osVal, cudaVal, torchVal, mmcvVal;
function clickOutside(targetDom, handler) {
const clickHandler = (e) => {
if (!targetDom || targetDom.contains(e.target)) return;
handler?.();
document.removeEventListener('click', clickHandler, false);
};
document.addEventListener('click', clickHandler, false);
}
function changeMMCV(val) { function changeMMCV(val) {
mmcvVal = val; mmcvVal = val;
change("select-mmcv"); change("select-mmcv");
...@@ -165,7 +177,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)' ...@@ -165,7 +177,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)'
const dom = document.getElementById(id); const dom = document.getElementById(id);
if (!dom) return; if (!dom) return;
const len = dom?.options?.length; const len = dom?.options?.length;
if (len >= 9) { if (len >= 10) {
dom.size = 10; dom.size = 10;
dom.style.zIndex = 100; dom.style.zIndex = 100;
} }
...@@ -235,7 +247,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)' ...@@ -235,7 +247,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)'
* 1. 各个下拉框数据的联动 * 1. 各个下拉框数据的联动
* OS ==> cuda ==> torch ==> mmcv * OS ==> cuda ==> torch ==> mmcv
* 2. 命令行的修改 * 2. 命令行的修改
*/ */
function change(id) { function change(id) {
const order = ["select-mmcv", "select-torch", "select-cuda", "select-os"]; const order = ["select-mmcv", "select-torch", "select-cuda", "select-os"];
const idx = order.indexOf(id); const idx = order.indexOf(id);
...@@ -274,7 +286,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)' ...@@ -274,7 +286,7 @@ python -c 'import torch;print(torch.__version__);print(torch.version.cuda)'
// 初始化，处理version数据，并调用findAndAppend // 初始化，处理version数据，并调用findAndAppend
function init() { function init() {
// 增加一个全局的click事件监听，作为select onBlur事件失效的兜底 // 增加一个全局的click事件监听，作为select onBlur事件失效的兜底
document.addEventListener("click", handleSelectBlur); // document.addEventListener("click", handleSelectBlur);
const version = window.version; const version = window.version;
// OS // OS
const os = Object.keys(version); const os = Object.keys(version);
......
docs/zh_cn/index.rst
View file @ 0e2f8a5c
...@@ -11,6 +11,7 @@ ...@@ -11,6 +11,7 @@
get_started/installation.md get_started/installation.md
get_started/build.md get_started/build.md
get_started/article.md get_started/article.md
get_started/api_reference.md
.. toctree:: .. toctree::
:maxdepth: 2 :maxdepth: 2
......
docs/zh_cn/understand_mmcv/ops.md
View file @ 0e2f8a5c
...@@ -6,13 +6,13 @@ MMCV 提供了检测、分割等任务中常用的算子 ...@@ -6,13 +6,13 @@ MMCV 提供了检测、分割等任务中常用的算子
| ---------------------------- | --- | ---- | --- | --- | ------ | | ---------------------------- | --- | ---- | --- | --- | ------ |
| ActiveRotatedFilter | √ | √ | | | √ | | ActiveRotatedFilter | √ | √ | | | √ |
| AssignScoreWithK | | √ | | | | | AssignScoreWithK | | √ | | | |
| BallQuery | | √ | √ | | | | BallQuery | | √ | √ | | √ |
| BBoxOverlaps | | √ | √ | √ | √ | | BBoxOverlaps | | √ | √ | √ | √ |
| BorderAlign | | √ | | | | | BorderAlign | | √ | | | |
| BoxIouRotated | √ | √ | √ | | √ | | BoxIouRotated | √ | √ | √ | | √ |
| BoxIouQuadri | √ | √ | | | | | BoxIouQuadri | √ | √ | | | |
| CARAFE | | √ | √ | | | | CARAFE | | √ | √ | | |
| ChamferDistance | | √ | | | | | ChamferDistance | | √ | | | √ |
| CrissCrossAttention | | √ | | | | | CrissCrossAttention | | √ | | | |
| ContourExpand | √ | | | | | | ContourExpand | √ | | | | |
| ConvexIoU | | √ | | | | | ConvexIoU | | √ | | | |
...@@ -33,7 +33,7 @@ MMCV 提供了检测、分割等任务中常用的算子 ...@@ -33,7 +33,7 @@ MMCV 提供了检测、分割等任务中常用的算子
| MergeCells | | √ | | | | | MergeCells | | √ | | | |
| MinAreaPolygon | | √ | | | | | MinAreaPolygon | | √ | | | |
| ModulatedDeformConv2d | √ | √ | √ | | √ | | ModulatedDeformConv2d | √ | √ | √ | | √ |
| MultiScaleDeformableAttn | | √ | √ | | | | MultiScaleDeformableAttn | | √ | √ | | √ |
| NMS | √ | √ | √ | | √ | | NMS | √ | √ | √ | | √ |
| NMSRotated | √ | √ | √ | | √ | | NMSRotated | √ | √ | √ | | √ |
| NMSQuadri | √ | √ | | | | | NMSQuadri | √ | √ | | | |
...@@ -41,10 +41,10 @@ MMCV 提供了检测、分割等任务中常用的算子 ...@@ -41,10 +41,10 @@ MMCV 提供了检测、分割等任务中常用的算子
| PointsInBoxes | √ | √ | | | | | PointsInBoxes | √ | √ | | | |
| PointsInPolygons | | √ | | | | | PointsInPolygons | | √ | | | |
| PSAMask | √ | √ | √ | | √ | | PSAMask | √ | √ | √ | | √ |
| RotatedFeatureAlign | √ | √ | √ | | | | RotatedFeatureAlign | √ | √ | √ | | √ |
| RoIPointPool3d | | √ | √ | | | | RoIPointPool3d | | √ | √ | | |
| RoIPool | | √ | √ | | √ | | RoIPool | | √ | √ | | √ |
| RoIAlignRotated | √ | √ | √ | | | | RoIAlignRotated | √ | √ | √ | | √ |
| RiRoIAlignRotated | | √ | | | | | RiRoIAlignRotated | | √ | | | |
| RoIAlign | √ | √ | √ | | √ | | RoIAlign | √ | √ | √ | | √ |
| RoIAwarePool3d | | √ | √ | | | | RoIAwarePool3d | | √ | √ | | |
......
mmcv/ops/chamfer_distance.py
View file @ 0e2f8a5c
...@@ -44,8 +44,8 @@ class ChamferDistanceFunction(Function): ...@@ -44,8 +44,8 @@ class ChamferDistanceFunction(Function):
xyz1 = xyz1.contiguous() xyz1 = xyz1.contiguous()
xyz2 = xyz2.contiguous() xyz2 = xyz2.contiguous()
dist1 = torch.zeros(batch_size, n).to(device) dist1 = torch.zeros(batch_size, n).type(xyz1.dtype).to(device)
dist2 = torch.zeros(batch_size, m).to(device) dist2 = torch.zeros(batch_size, m).type(xyz2.dtype).to(device)
idx1 = torch.zeros(batch_size, n).type(torch.IntTensor).to(device) idx1 = torch.zeros(batch_size, n).type(torch.IntTensor).to(device)
idx2 = torch.zeros(batch_size, m).type(torch.IntTensor).to(device) idx2 = torch.zeros(batch_size, m).type(torch.IntTensor).to(device)
...@@ -81,8 +81,8 @@ class ChamferDistanceFunction(Function): ...@@ -81,8 +81,8 @@ class ChamferDistanceFunction(Function):
device = grad_dist1.device device = grad_dist1.device
grad_dist1 = grad_dist1.contiguous() grad_dist1 = grad_dist1.contiguous()
grad_dist2 = grad_dist2.contiguous() grad_dist2 = grad_dist2.contiguous()
grad_xyz1 = torch.zeros(xyz1.size()).to(device) grad_xyz1 = torch.zeros(xyz1.size()).type(xyz1.dtype).to(device)
grad_xyz2 = torch.zeros(xyz2.size()).to(device) grad_xyz2 = torch.zeros(xyz2.size()).type(xyz2.dtype).to(device)
ext_module.chamfer_distance_backward(xyz1, xyz2, idx1, idx2, ext_module.chamfer_distance_backward(xyz1, xyz2, idx1, idx2,
grad_dist1, grad_dist2, grad_xyz1, grad_dist1, grad_dist2, grad_xyz1,
......
mmcv/ops/csrc/common/cuda/bbox_overlaps_cuda_kernel.cuh
View file @ 0e2f8a5c
...@@ -88,7 +88,7 @@ __global__ void bbox_overlaps_cuda_kernel(const T* bbox1, const T* bbox2, ...@@ -88,7 +88,7 @@ __global__ void bbox_overlaps_cuda_kernel(const T* bbox1, const T* bbox2,
} }
} }
#if __CUDA_ARCH__ >= 530 #if __CUDACC__ >= 530
__device__ __forceinline__ __half __half_area(const __half x1, const __half y1, __device__ __forceinline__ __half __half_area(const __half x1, const __half y1,
const __half x2, const __half y2, const __half x2, const __half y2,
const __half offset) { const __half offset) {
...@@ -142,6 +142,6 @@ __device__ void bbox_overlaps_cuda_kernel_half( ...@@ -142,6 +142,6 @@ __device__ void bbox_overlaps_cuda_kernel_half(
ious[index] = __hdiv(interS, baseS); ious[index] = __hdiv(interS, baseS);
} }
} }
#endif // __CUDA_ARCH__ >= 530 #endif // __CUDACC__ >= 530
#endif // BBOX_OVERLAPS_CUDA_KERNEL_CUH #endif // BBOX_OVERLAPS_CUDA_KERNEL_CUH
mmcv/ops/csrc/common/cuda/parrots_cudawarpfunction.cuh
View file @ 0e2f8a5c
...@@ -15,13 +15,13 @@ ...@@ -15,13 +15,13 @@
#ifdef PARROTS_USE_HALF #ifdef PARROTS_USE_HALF
#include <cuda_fp16.h> #include <cuda_fp16.h>
#endif #endif
#ifdef __CUDA_ARCH__ #ifdef __CUDACC__
#define CUDA_INTRINSIC_FUNC(Expr) Expr #define CUDA_INTRINSIC_FUNC(Expr) Expr
#else #else
#define CUDA_INTRINSIC_FUNC(Expr) #define CUDA_INTRINSIC_FUNC(Expr)
#endif #endif
#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 300 #if !defined(__CUDACC__) || __CUDACC__ >= 300
#ifdef PARROTS_USE_HALF #ifdef PARROTS_USE_HALF
...@@ -104,6 +104,6 @@ __device__ inline T __shfl_xor_sync(unsigned mask, T var, int laneMask, ...@@ -104,6 +104,6 @@ __device__ inline T __shfl_xor_sync(unsigned mask, T var, int laneMask,
#endif // CUDA_VERSION < 9000 #endif // CUDA_VERSION < 9000
#endif // !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 300 #endif // !defined(__CUDACC__) || __CUDACC__ >= 300
#endif // INCLUDE_PARROTS_DARRAY_CUDAWARPFUNCTION_CUH_ #endif // INCLUDE_PARROTS_DARRAY_CUDAWARPFUNCTION_CUH_
mmcv/ops/csrc/common/cuda/scatter_points_cuda_kernel.cuh
View file @ 0e2f8a5c
...@@ -42,9 +42,9 @@ __device__ __forceinline__ static void reduceAdd(double *address, double val) { ...@@ -42,9 +42,9 @@ __device__ __forceinline__ static void reduceAdd(double *address, double val) {
atomicAdd(address, val); atomicAdd(address, val);
} }
#else #else
#ifdef __CUDA_ARCH__ #ifdef __CUDACC__
__device__ __forceinline__ static void reduceAdd(float *address, float val) { __device__ __forceinline__ static void reduceAdd(float *address, float val) {
#if (__CUDA_ARCH__ < 200) #if (__CUDACC__ < 200)
#ifdef _MSC_VER #ifdef _MSC_VER
#pragma message( \ #pragma message( \
"compute capability lower than 2.x. fall back to use CAS version of atomicAdd for float32") "compute capability lower than 2.x. fall back to use CAS version of atomicAdd for float32")
...@@ -65,7 +65,7 @@ __device__ __forceinline__ static void reduceAdd(float *address, float val) { ...@@ -65,7 +65,7 @@ __device__ __forceinline__ static void reduceAdd(float *address, float val) {
} }
__device__ __forceinline__ static void reduceAdd(double *address, double val) { __device__ __forceinline__ static void reduceAdd(double *address, double val) {
#if (__CUDA_ARCH__ < 600) #if (__CUDACC__ < 600)
#ifdef _MSC_VER #ifdef _MSC_VER
#pragma message( \ #pragma message( \
"compute capability lower than 6.x. fall back to use CAS version of atomicAdd for float64") "compute capability lower than 6.x. fall back to use CAS version of atomicAdd for float64")
...@@ -85,7 +85,7 @@ __device__ __forceinline__ static void reduceAdd(double *address, double val) { ...@@ -85,7 +85,7 @@ __device__ __forceinline__ static void reduceAdd(double *address, double val) {
atomicAdd(address, val); atomicAdd(address, val);
#endif #endif
} }
#endif // __CUDA_ARCH__ #endif // __CUDACC__
#endif // MMCV_WITH_HIP #endif // MMCV_WITH_HIP
template <typename T> template <typename T>
......
mmcv/ops/csrc/common/parrots_cuda_helper.hpp
View file @ 0e2f8a5c
...@@ -60,7 +60,7 @@ using phalf = float16; ...@@ -60,7 +60,7 @@ using phalf = float16;
}() }()
/** atomicAdd **/ /** atomicAdd **/
#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ < 600 #if defined(__CUDACC__) && __CUDACC__ < 600
static __inline__ __device__ double atomicAdd(double* address, double val) { static __inline__ __device__ double atomicAdd(double* address, double val) {
unsigned long long int* address_as_ull = (unsigned long long int*)address; unsigned long long int* address_as_ull = (unsigned long long int*)address;
......
mmcv/ops/csrc/common/pytorch_npu_helper.hpp
View file @ 0e2f8a5c
...@@ -18,12 +18,12 @@ ...@@ -18,12 +18,12 @@
#ifndef PYTORCH_NPU_HELPER_HPP_ #ifndef PYTORCH_NPU_HELPER_HPP_
#define PYTORCH_NPU_HELPER_HPP_ #define PYTORCH_NPU_HELPER_HPP_
#include <torch_npu/csrc/aten/CustomFunctions.h>
#include <torch_npu/csrc/framework/utils/CalcuOpUtil.h> #include <torch_npu/csrc/framework/utils/CalcuOpUtil.h>
#include <torch_npu/csrc/framework/utils/OpAdapter.h> #include <torch_npu/csrc/framework/utils/OpAdapter.h>
#include "pytorch_cpp_helper.hpp" #include "pytorch_cpp_helper.hpp"
#include "pytorch_device_registry.hpp" #include "pytorch_device_registry.hpp"
#include "pytorch_npu_util.hpp"
#define NPU_NAME_SPACE at_npu::native #define NPU_NAME_SPACE at_npu::native
......
mmcv/ops/csrc/common/pytorch_npu_util.hpp 0 → 100644
View file @ 0e2f8a5c
This diff is collapsed.
mmcv/ops/csrc/common/utils/spconv/tensorview/tensorview.h
View file @ 0e2f8a5c
...@@ -562,7 +562,7 @@ struct TensorView { ...@@ -562,7 +562,7 @@ struct TensorView {
} }
TV_HOST_DEVICE_INLINE scalar_t &operator()() { TV_HOST_DEVICE_INLINE scalar_t &operator()() {
#if defined TV_DEBUG #if defined TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mPtr != nullptr, TV_DEVICE_REQUIRE(mPtr != nullptr,
"you want get value but the view is empty.%s", "\n"); "you want get value but the view is empty.%s", "\n");
TV_DEVICE_REQUIRE(mShape.ndim() == 0, TV_DEVICE_REQUIRE(mShape.ndim() == 0,
...@@ -578,7 +578,7 @@ struct TensorView { ...@@ -578,7 +578,7 @@ struct TensorView {
} }
TV_HOST_DEVICE_INLINE const scalar_t &operator()() const { TV_HOST_DEVICE_INLINE const scalar_t &operator()() const {
#if defined TV_DEBUG #if defined TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mPtr != nullptr, TV_DEVICE_REQUIRE(mPtr != nullptr,
"you want get value but the view is empty.%s", "\n"); "you want get value but the view is empty.%s", "\n");
TV_DEVICE_REQUIRE(mShape.ndim() == 0, TV_DEVICE_REQUIRE(mShape.ndim() == 0,
...@@ -596,7 +596,7 @@ struct TensorView { ...@@ -596,7 +596,7 @@ struct TensorView {
template <class T1> template <class T1>
TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1) { TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1) {
#if defined TV_DEBUG #if defined TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 1, TV_DEVICE_REQUIRE(mShape.ndim() == 1,
"you provide 1 indexes, but dim is %ld\n", mShape.ndim()); "you provide 1 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -613,7 +613,7 @@ struct TensorView { ...@@ -613,7 +613,7 @@ struct TensorView {
template <class T1, class T2> template <class T1, class T2>
TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1, T2 i2) { TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1, T2 i2) {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 2, TV_DEVICE_REQUIRE(mShape.ndim() == 2,
"you provide 2 indexes, but dim is %ld\n", mShape.ndim()); "you provide 2 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -636,7 +636,7 @@ struct TensorView { ...@@ -636,7 +636,7 @@ struct TensorView {
template <class T1, class T2, class T3> template <class T1, class T2, class T3>
TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1, T2 i2, T3 i3) { TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1, T2 i2, T3 i3) {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 3, TV_DEVICE_REQUIRE(mShape.ndim() == 3,
"you provide 3 indexes, but dim is %ld\n", mShape.ndim()); "you provide 3 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -664,7 +664,7 @@ struct TensorView { ...@@ -664,7 +664,7 @@ struct TensorView {
template <class T1, class T2, class T3, class T4> template <class T1, class T2, class T3, class T4>
TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1, T2 i2, T3 i3, T4 i4) { TV_HOST_DEVICE_INLINE scalar_t &operator()(T1 i1, T2 i2, T3 i3, T4 i4) {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 4, TV_DEVICE_REQUIRE(mShape.ndim() == 4,
"you provide 4 indexes, but dim is %ld\n", mShape.ndim()); "you provide 4 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -698,7 +698,7 @@ struct TensorView { ...@@ -698,7 +698,7 @@ struct TensorView {
template <class T1> template <class T1>
TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1) const { TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1) const {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 1, TV_DEVICE_REQUIRE(mShape.ndim() == 1,
"you provide 1 indexes, but dim is %ld\n", mShape.ndim()); "you provide 1 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -716,7 +716,7 @@ struct TensorView { ...@@ -716,7 +716,7 @@ struct TensorView {
template <class T1, class T2> template <class T1, class T2>
TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1, T2 i2) const { TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1, T2 i2) const {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 2, TV_DEVICE_REQUIRE(mShape.ndim() == 2,
"you provide 2 indexes, but dim is %ld\n", mShape.ndim()); "you provide 2 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -740,7 +740,7 @@ struct TensorView { ...@@ -740,7 +740,7 @@ struct TensorView {
template <class T1, class T2, class T3> template <class T1, class T2, class T3>
TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1, T2 i2, T3 i3) const { TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1, T2 i2, T3 i3) const {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 3, TV_DEVICE_REQUIRE(mShape.ndim() == 3,
"you provide 3 indexes, but dim is %ld\n", mShape.ndim()); "you provide 3 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -769,7 +769,7 @@ struct TensorView { ...@@ -769,7 +769,7 @@ struct TensorView {
TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1, T2 i2, T3 i3, TV_HOST_DEVICE_INLINE const scalar_t &operator()(T1 i1, T2 i2, T3 i3,
T4 i4) const { T4 i4) const {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(mShape.ndim() == 4, TV_DEVICE_REQUIRE(mShape.ndim() == 4,
"you provide 4 indexes, but dim is %ld\n", mShape.ndim()); "you provide 4 indexes, but dim is %ld\n", mShape.ndim());
TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0], TV_DEVICE_REQUIRE(i1 >= 0 && i1 < mShape[0],
...@@ -802,7 +802,7 @@ struct TensorView { ...@@ -802,7 +802,7 @@ struct TensorView {
TV_HOST_DEVICE_INLINE scalar_t &operator[](int idx) { TV_HOST_DEVICE_INLINE scalar_t &operator[](int idx) {
#ifdef TV_DEBUG #ifdef TV_DEBUG
#if defined(__CUDA_ARCH__) #if defined(__CUDACC__)
TV_DEVICE_REQUIRE(idx >= 0 && idx < size(), TV_DEVICE_REQUIRE(idx >= 0 && idx < size(),
"index(%d) out-of-range: [0, %ld)\n", int(idx), size()); "index(%d) out-of-range: [0, %ld)\n", int(idx), size());
#else #else
......
mmcv/ops/csrc/pytorch/cuda/bbox_overlaps_cuda.cu
View file @ 0e2f8a5c
...@@ -4,7 +4,7 @@ ...@@ -4,7 +4,7 @@
// Disable fp16 on ROCm device // Disable fp16 on ROCm device
#ifndef MMCV_WITH_HIP #ifndef MMCV_WITH_HIP
#if __CUDA_ARCH__ >= 530 #if __CUDACC__ >= 530
template <> template <>
__global__ void bbox_overlaps_cuda_kernel<at::Half>( __global__ void bbox_overlaps_cuda_kernel<at::Half>(
const at::Half* bbox1, const at::Half* bbox2, at::Half* ious, const at::Half* bbox1, const at::Half* bbox2, at::Half* ious,
...@@ -16,7 +16,7 @@ __global__ void bbox_overlaps_cuda_kernel<at::Half>( ...@@ -16,7 +16,7 @@ __global__ void bbox_overlaps_cuda_kernel<at::Half>(
num_bbox2, mode, aligned, offset); num_bbox2, mode, aligned, offset);
} }
#endif // __CUDA_ARCH__ >= 530 #endif // __CUDACC__ >= 530
#endif // MMCV_WITH_HIP #endif // MMCV_WITH_HIP
void BBoxOverlapsCUDAKernelLauncher(const Tensor bboxes1, const Tensor bboxes2, void BBoxOverlapsCUDAKernelLauncher(const Tensor bboxes1, const Tensor bboxes2,
......
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