README.md 3.08 KB
Newer Older
fengzch-das's avatar
fengzch-das committed
1
# <div align="center"><strong>torch-harmonics</strong></div>
Boris Bonev's avatar
Boris Bonev committed
2

fengzch-das's avatar
fengzch-das committed
3
## 简介
Boris Bonev's avatar
Boris Bonev committed
4

fengzch-das's avatar
fengzch-das committed
5
torch-harmonics 实现了球面微分信号处理功能,包括:
Boris Bonev's avatar
Boris Bonev committed
6

fengzch-das's avatar
fengzch-das committed
7
8
9
* 球谐变换(Spherical Harmonic Transforms)
* 矢量球谐变换(Vector Spherical Harmonic Transforms)
* 球面离散-连续卷积(Discrete-Continuous Convolutions on the Sphere)
Boris Bonev's avatar
Boris Bonev committed
10

fengzch-das's avatar
fengzch-das committed
11
## 安装
Boris Bonev's avatar
Boris Bonev committed
12

fengzch-das's avatar
fengzch-das committed
13
组件支持组合
Boris Bonev's avatar
Boris Bonev committed
14

fengzch-das's avatar
fengzch-das committed
15
16
17
18
19
| PyTorch版本 | fastpt版本 | torch-harmonics版本 | DTK版本  | Python版本      | 推荐编译方式 |
| ----------- | ---------- | ------------------- | -------- | --------------- | ------------ |
| 2.5.1       | 2.1.0      | 0.8.0               | >= 25.04 | 3.8、3.10、3.11 | fastpt不转码 |
| 2.4.1       | 2.0.1      | 0.8.0               | >= 25.04 | 3.8、3.10、3.11 | fastpt不转码 |
| 其他        | 其他       | 其他                | 其他     | 3.8、3.10、3.11 | hip转码      |
20

fengzch-das's avatar
fengzch-das committed
21
+ pytorch版本大于2.4.1 && dtk版本大于25.04 推荐使用fastpt不转码编译。
Boris Bonev's avatar
Boris Bonev committed
22

fengzch-das's avatar
fengzch-das committed
23
### 1、使用pip方式安装
24

fengzch-das's avatar
fengzch-das committed
25
torch-harmonics whl包下载目录:[光和开发者社区](https://download.sourcefind.cn:65024/4/main),选择对应的pytorch版本和python版本下载对应lietorch的whl包
26

fengzch-das's avatar
fengzch-das committed
27
28
29
30
31
```shell
pip install torch* (下载torch的whl包)
pip install fastpt* --no-deps (下载fastpt的whl包)
source  /usr/local/bin/fastpt -E
pip install torch-harmonics* (下载的torch-harmonics的whl包)
Boris Bonev's avatar
Boris Bonev committed
32
33
```

fengzch-das's avatar
fengzch-das committed
34
### 2、使用源码编译方式安装
Boris Bonev's avatar
Boris Bonev committed
35

fengzch-das's avatar
fengzch-das committed
36
#### 编译环境准备
Boris Bonev's avatar
Boris Bonev committed
37

fengzch-das's avatar
fengzch-das committed
38
提供基于fastpt不转码编译:
Boris Bonev's avatar
Boris Bonev committed
39

fengzch-das's avatar
fengzch-das committed
40
41
1. 基于光源pytorch基础镜像环境:镜像下载地址:[光合开发者社区](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,fastpt whl包下载目录:[光合开发者社区](https://sourcefind.cn/#/image/dcu/pytorch),根据python、dtk版本,下载对应pytorch的whl包。安装命令如下:
Boris Bonev's avatar
Boris Bonev committed
42

fengzch-das's avatar
fengzch-das committed
43
44
45
46
47
```shell
pip install torch* (下载torch的whl包)
pip install fastpt* --no-deps (下载fastpt的whl包, 安装顺序,先安装torch,后安装fastpt)
pip install pytest
pip install wheel
Boris Bonev's avatar
Boris Bonev committed
48
```
Boris Bonev's avatar
Boris Bonev committed
49

fengzch-das's avatar
fengzch-das committed
50
#### 源码编译安装
Thorsten Kurth's avatar
Thorsten Kurth committed
51

fengzch-das's avatar
fengzch-das committed
52
- 代码下载
Thorsten Kurth's avatar
Thorsten Kurth committed
53

fengzch-das's avatar
fengzch-das committed
54
55
```shell
git clone http://developer.sourcefind.cn/codes/OpenDAS/torch-harmonics.git # 根据编译需要切换分支
Thorsten Kurth's avatar
Thorsten Kurth committed
56
57
```

fengzch-das's avatar
fengzch-das committed
58
- 提供2种源码编译方式(进入torch-harmonics目录):
59

fengzch-das's avatar
fengzch-das committed
60
61
```
1. 设置不转码编译环境变量
fengzch-das's avatar
fengzch-das committed
62
export FORCE_CUDA_EXTENSION=1
fengzch-das's avatar
fengzch-das committed
63
source /usr/local/bin/fastpt -C
Boris Bonev's avatar
Boris Bonev committed
64

fengzch-das's avatar
fengzch-das committed
65
2. 编译whl包并安装
fengzch-das's avatar
fengzch-das committed
66
export FORCE_CUDA_EXTENSION=1
fengzch-das's avatar
fengzch-das committed
67
68
python3 setup.py bdist_wheel
pip install dist/torch-harmonics* --no-deps
Boris Bonev's avatar
Boris Bonev committed
69

fengzch-das's avatar
fengzch-das committed
70
3. 源码编译安装
fengzch-das's avatar
fengzch-das committed
71
export FORCE_CUDA_EXTENSION=1
fengzch-das's avatar
fengzch-das committed
72
python3 setup.py install --no-deps
Boris Bonev's avatar
Boris Bonev committed
73
74
```

fengzch-das's avatar
fengzch-das committed
75
#### 注意事项
Boris Bonev's avatar
Boris Bonev committed
76

fengzch-das's avatar
fengzch-das committed
77
78
79
+ 若使用pip install下载安装过慢,可添加pypi清华源:-i https://pypi.tuna.tsinghua.edu.cn/simple/
+ ROCM_PATH为dtk的路径,默认为/opt/dtk
+ 在pytorch2.5.1环境下编译需要支持c++17语法,打开setup.py文件,把文件中的 -std=c++14 修改为 -std=c++17
Boris Bonev's avatar
Boris Bonev committed
80

fengzch-das's avatar
fengzch-das committed
81
## Known Issue
Boris Bonev's avatar
Boris Bonev committed
82

fengzch-das's avatar
fengzch-das committed
83
-
Boris Bonev's avatar
Boris Bonev committed
84

fengzch-das's avatar
fengzch-das committed
85
## 参考资料
Boris Bonev's avatar
Boris Bonev committed
86

fengzch-das's avatar
fengzch-das committed
87
88
- [README_ORIGIN](README_ORIGIN.md)
- [https://github.com/NVIDIA/torch-harmonics.git](https://github.com/NVIDIA/torch-harmonics.git)