已合并
update readme #25923
guoguanghao创建于 2025年10月21日
update readme #25923
已合并
guoguanghao创建于 2025年10月21日
3 个文件变更+184-101
MREADME.md+16-9
@@ -51,7 +51,8 @@ If the installation fails, use the download link or visit the [PyTorch official
513. **Install torch-npu**513. **Install torch-npu**
52 52 
53```53```
54-pip3 install torch-npu==2.7.1rc154+pip3 install torch-npu==2.7.1
55+ 
55```56```
56 57 
57### From Source58### From Source
@@ -61,7 +62,7 @@ In some special scenarios, users may need to compile **torch-npu** by themselves
611. **Clone torch-npu**621. **Clone torch-npu**
62 63 
63 ```64 ```
64- git clone https://github.com/ascend/pytorch.git -b 2.7.1 --depth 165+ git clone https://github.com/ascend/pytorch.git -b 2.7.1-7.2.0 --depth 1
65 ```66 ```
66 67 
672. **Build Docker Image**682. **Build Docker Image**
@@ -143,6 +144,8 @@ Refer to [API of Ascend Extension for PyTorch](docs/api/torch_npu_apis.md) for m
143| PyTorch2.5.1 | Python3.9.x,Python3.10.x,Python3.11.x |144| PyTorch2.5.1 | Python3.9.x,Python3.10.x,Python3.11.x |
144| PyTorch2.6.0 | Python3.9.x,Python3.10.x,Python3.11.x |145| PyTorch2.6.0 | Python3.9.x,Python3.10.x,Python3.11.x |
145| PyTorch2.7.1 | Python3.9.x,Python3.10.x,Python3.11.x |146| PyTorch2.7.1 | Python3.9.x,Python3.10.x,Python3.11.x |
147+| PyTorch2.8.0 | Python3.9.x,Python3.10.x,Python3.11.x |
148+ 
146 149 
147## Ascend Auxiliary Software150## Ascend Auxiliary Software
148 151 
@@ -150,10 +153,13 @@ Refer to [API of Ascend Extension for PyTorch](docs/api/torch_npu_apis.md) for m
150 153 
151| CANN Version | Supported PyTorch Version | Supported Extension Version | Github Branch |154| CANN Version | Supported PyTorch Version | Supported Extension Version | Github Branch |
152|-----------------------|---------------------------|-----------------------------|-------------------|155|-----------------------|---------------------------|-----------------------------|-------------------|
156+| CANN 8.3.RC1 | 2.8.0 | 2.8.0 | v2.8.0-7.2.0 |
157+| | 2.7.1 | 2.7.1 | v2.7.1-7.2.0 |
158+| | 2.6.0 | 2.6.0.post3 | v2.6.0-7.2.0 |
159+| | 2.1.0 | 2.1.0.post17 | v2.1.0-7.2.0 |
153| CANN 8.2.RC1 | 2.6.0 | 2.6.0 | v2.6.0-7.1.0 |160| CANN 8.2.RC1 | 2.6.0 | 2.6.0 | v2.6.0-7.1.0 |
154| | 2.5.1 | 2.5.1.post1 | v2.5.1-7.1.0 |161| | 2.5.1 | 2.5.1.post1 | v2.5.1-7.1.0 |
155| | 2.1.0 | 2.1.0.post13 | v2.1.0-7.1.0 |162| | 2.1.0 | 2.1.0.post13 | v2.1.0-7.1.0 |
156-| CANN 8.2.RC1.alpha002 | 2.7.1 | 2.7.1rc1 | v2.7.1 |
157| CANN 8.1.RC1 | 2.5.1 | 2.5.1 | v2.5.1-7.0.0 |163| CANN 8.1.RC1 | 2.5.1 | 2.5.1 | v2.5.1-7.0.0 |
158| | 2.4.0 | 2.4.0.post4 | v2.4.0-7.0.0 |164| | 2.4.0 | 2.4.0.post4 | v2.4.0-7.0.0 |
159| | 2.3.1 | 2.3.1.post6 | v2.3.1-7.0.0 |165| | 2.3.1 | 2.3.1.post6 | v2.3.1-7.0.0 |
@@ -246,9 +252,10 @@ The version branches of AscendPyTorch have the following maintenance phases:
246 252 
247| **PyTorch** | **Maintenance Policies** | **Status** | **Launch Date** | **Subsequent Status** | **EOL Date** |253| **PyTorch** | **Maintenance Policies** | **Status** | **Launch Date** | **Subsequent Status** | **EOL Date** |
248|-------------|--------------------------|-------------|-----------------|-------------------------------------------------------------------|--------------|254|-------------|--------------------------|-------------|-----------------|-------------------------------------------------------------------|--------------|
249-| 2.7.1 | Long Term Support | Development | 2025/06/06 | Expected to enter maintenance status from October 30, 2026 | |255+| 2.8.0 | Regular Release | Development | 2025/10/15 | Expected to enter maintenance status from March 15, 2026 | - |
250-| 2.6.0 | Regular Release | Development | 2025/07/25 | Expected to enter maintenance status from January 25, 2026 | - | 256+| 2.7.1 | Long Term Support | Development | 2025/10/15 | Expected to enter maintenance status from September 15, 2026 | |
251-| 2.5.1 | Regular Release | Development | 2024/11/08 | Expected to enter maintenance status from August 8, 2025 | |257+| 2.6.0 | Regular Release | Development | 2025/07/25 | Expected to enter maintenance status from January 15, 2026 | - |
258+| 2.5.1 | Regular Release | Maintained | 2024/11/08 | Expected to enter maintenance free status from August 8, 2026 | |
252| 2.4.0 | Regular Release | Maintained | 2024/10/15 | Expected to enter maintenance free status from June 15, 2026 | |259| 2.4.0 | Regular Release | Maintained | 2024/10/15 | Expected to enter maintenance free status from June 15, 2026 | |
253| 2.3.1 | Regular Release | Maintained | 2024/06/06 | Expected to enter maintenance free status from June 7, 2026 | |260| 2.3.1 | Regular Release | Maintained | 2024/06/06 | Expected to enter maintenance free status from June 7, 2026 | |
254| 2.2.0 | Regular Release | Maintained | 2024/04/01 | Expected to enter maintenance free status from September 10, 2025 | |261| 2.2.0 | Regular Release | Maintained | 2024/04/01 | Expected to enter maintenance free status from September 10, 2025 | |
@@ -264,10 +271,10 @@ For more detailed information on installation guides, model migration, training/
264 271 
265| Document Name | Document Link |272| Document Name | Document Link |
266|------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|273|------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|
267-| Installation Guide | [link](https://www.hiascend.com/document/detail/zh/Pytorch/710/configandinstg/instg/insg_0001.html) |274+| Installation Guide | [link](https://www.hiascend.com/document/detail/zh/Pytorch/720/configandinstg/instg/insg_0001.html) |
268-| Network Model Migration and Training | [link](https://www.hiascend.com/document/detail/zh/Pytorch/710/ptmoddevg/trainingmigrguide/PT_LMTMOG_0003.html) |275+| Network Model Migration and Training | [link](https://www.hiascend.com/document/detail/zh/Pytorch/720/ptmoddevg/trainingmigrguide/PT_LMTMOG_0003.html) |
269| Operator Adaptation | [link](https://www.hiascend.com/document/detail/zh/canncommercial/81RC1/operatordev/tbeaicpudevg/atlasopdev_10_0086.html) |276| Operator Adaptation | [link](https://www.hiascend.com/document/detail/zh/canncommercial/81RC1/operatordev/tbeaicpudevg/atlasopdev_10_0086.html) |
270-| API List (PyTorch and Custom Interfaces) | [link](https://www.hiascend.com/document/detail/zh/Pytorch/710/apiref/apilist/ptaoplist_000002.html) |277+| API List (PyTorch and Custom Interfaces) | [link](https://www.hiascend.com/document/detail/zh/Pytorch/720/apiref/apilist/ptaoplist_000002.html) |
271 278 
272## License279## License
273 280 
@@ -21,6 +21,8 @@
21| PyTorch2.5.1 | Python3.9.x, Python3.10.x, Python 3.11.x |21| PyTorch2.5.1 | Python3.9.x, Python3.10.x, Python 3.11.x |
22| PyTorch2.6.0 | Python3.9.x, Python3.10.x, Python 3.11.x |22| PyTorch2.6.0 | Python3.9.x, Python3.10.x, Python 3.11.x |
23| PyTorch2.7.1 | Python3.9.x, Python3.10.x, Python 3.11.x |23| PyTorch2.7.1 | Python3.9.x, Python3.10.x, Python 3.11.x |
24+| PyTorch2.8.0 | Python3.9.x, Python3.10.x, Python 3.11.x |
25+ 
24 26 
25 27 
26### 昇腾辅助软件28### 昇腾辅助软件
@@ -29,6 +31,10 @@
29 31 
30| CANN版本 | 支持的PyTorch版本 | 支持的Extension版本 | GitCode分支 | 32| CANN版本 | 支持的PyTorch版本 | 支持的Extension版本 | GitCode分支 |
31|-----------------------|--------------|------------------|-------------------|33|-----------------------|--------------|------------------|-------------------|
34+| CANN 8.3.RC1 | 2.8.0 | 2.8.0 | v2.8.0-7.2.0 |
35+| | 2.7.1 | 2.7.1 | v2.7.1-7.2.0 |
36+| | 2.6.0 | 2.6.0.post3 | v2.6.0-7.2.0 |
37+| | 2.1.0 | 2.1.0.post17 | v2.1.0-7.2.0 |
32| CANN 8.2.RC1 | 2.6.0 | 2.6.0 | v2.6.0-7.1.0 |38| CANN 8.2.RC1 | 2.6.0 | 2.6.0 | v2.6.0-7.1.0 |
33| | 2.5.1 | 2.5.1.post1 | v2.5.1-7.1.0 |39| | 2.5.1 | 2.5.1.post1 | v2.5.1-7.1.0 |
34| | 2.1.0 | 2.1.0.post13 | v2.1.0-7.1.0 |40| | 2.1.0 | 2.1.0.post13 | v2.1.0-7.1.0 |
@@ -109,12 +115,12 @@
109 115 
110 | 架构 | Python版本 | 下载链接 |116 | 架构 | Python版本 | 下载链接 |
111 |---------|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|117 |---------|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
112- | x86 | Python3.9 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp39-cp39-linux_x86_64.whl#sha256=86cc28df491fa84738affe752f9870791026565342f69e4ab63e5b935f00a495) |118+ | x86 | Python3.9 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp39-cp39-manylinux_2_28_x86_64.whl#sha256=bda4f93d64dcd9ae5d51844bbccc6fcb7d603522bcc95d256b5fe3bdb9dccca3) |
113- | x86 | Python3.10 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp310-cp310-linux_x86_64.whl#sha256=5077921fc2b54e69a534f3a9c0b98493c79a5547c49d46f5e77e42da3610e011) |119+ | x86 | Python3.10 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=16d75fa4e96ea28a785dfd66083ca55eb1058b6d6c5413f01656ca965ee2077e) |
114- | x86 | Python3.11 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp311-cp311-linux_x86_64.whl#sha256=5954924ce74bc7e6a6c811e3fa4bdda9936d9889f6369fd068420c444bfd1cae) |120+ | x86 | Python3.11 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp311-cp311-manylinux_2_28_x86_64.whl#sha256=cb06175284673a581dd91fb1965662ae4ecaba6e5c357aa0ea7bb8b84b6b7eeb) |
115- | aarch64 | Python3.9 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl#sha256=de7d63c6ecece118684415a3dbd4805af4a4c1ee1490cccf7405d8c240a481b4) |121+ | aarch64 | Python3.9 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp39-cp39-manylinux_2_28_aarch64.whl#sha256=eac8b7ef5c7ca106daec5e829dfa8ca56ca47601db13b402d2608861ad3ab926) |
116- | aarch64 | Python3.10 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl#sha256=a04a0296d47f28960f51c18c5489a8c3472f624ec3b5bcc8e2096314df8c3342) |122+ | aarch64 | Python3.10 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp310-cp310-manylinux_2_28_aarch64.whl#sha256=b2149858b8340aeeb1f3056e0bff5b82b96e43b596fe49a9dba3184522261213) |
117- | aarch64 | Python3.11 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl#sha256=8132efb782cd181cc2dcca5e58effbe4217cdb2581206ac71466d535bf778867) |123+ | aarch64 | Python3.11 | [下载链接](https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp311-cp311-manylinux_2_28_aarch64.whl#sha256=680129efdeeec3db5da3f88ee5d28c1b1e103b774aef40f9d638e2cce8f8d8d8) |
118 124 
1192. **安装torch_npu依赖**1252. **安装torch_npu依赖**
120 126 
@@ -128,7 +134,7 @@
1283. **安装torch_npu**1343. **安装torch_npu**
129 135 
130 ```bash136 ```bash
131- pip3 install torch-npu==2.7.1rc1137+ pip3 install torch-npu==2.7.1
132 ```138 ```
133 如需要保存安装日志,可在pip3 install命令后面加上参数 `--log <PATH>`,并对您指定的目录`<PATH>`做好权限管控。139 如需要保存安装日志,可在pip3 install命令后面加上参数 `--log <PATH>`,并对您指定的目录`<PATH>`做好权限管控。
134 140 
@@ -144,7 +150,8 @@
1441. **克隆torch_npu代码仓**1501. **克隆torch_npu代码仓**
145 151 
146 ```152 ```
147- git clone https://gitcode.com/ascend/pytorch.git -b v2.7.1 --depth 1153+ git clone https://gitcode.com/ascend/pytorch.git -b v2.7.1-7.2.0 --depth 1
154+ 
148 ```155 ```
149 156 
1502. **构建镜像**1572. **构建镜像**
@@ -264,12 +271,13 @@ Ascend Extension for PyTorch版本分支的维护阶段如下:
264 271 
265| **PyTorch版本** | **维护策略** | **当前状态** | **发布时间** | **后续状态** | **EOL日期** |272| **PyTorch版本** | **维护策略** | **当前状态** | **发布时间** | **后续状态** | **EOL日期** |
266|---------------|----------|----------|------------|----------------------|-----------|273|---------------|----------|----------|------------|----------------------|-----------|
267-| 2.7.1 | 长期分支 | 开发 | 2025/06/06 | 预计2026/10/30起进入维护状态 | - | 274+| 2.8.0 | 常规分支 | 开发 | 2025/10/15| 预计2026/03/15起进入维护状态 | - |
275+| 2.7.1 | 长期分支 | 开发 | 2025/10/15| 预计2026/10/15起进入维护状态 | - |
268| 2.6.0 | 常规分支 | 开发 | 2025/07/25 | 预计2026/01/25起进入维护状态 | - | 276| 2.6.0 | 常规分支 | 开发 | 2025/07/25 | 预计2026/01/25起进入维护状态 | - |
269-| 2.5.1 | 常规分支 | 开发 | 2024/11/08 | 预计2025/08/08起进入维护状态 | - | 277+| 2.5.1 | 常规分支 | 维护 | 2024/11/08 | 预计2026/08/08起进入维护状态 | - |
270| 2.4.0 | 常规分支 | 维护 | 2024/10/15 | 预计2026/06/15起进入无维护状态 | - | 278| 2.4.0 | 常规分支 | 维护 | 2024/10/15 | 预计2026/06/15起进入无维护状态 | - |
271| 2.3.1 | 常规分支 | 维护 | 2024/06/06 | 预计2026/06/07起进入无维护状态 | |279| 2.3.1 | 常规分支 | 维护 | 2024/06/06 | 预计2026/06/07起进入无维护状态 | |
272-| 2.2.0 | 常规分支 | 维护 | 2024/04/01 | 预计2025/09/10起进入无维护状态 | |280+| 2.2.0 | 常规分支 | EOL | 2024/04/01 | | 2025/10/14 |
273| 2.1.0 | 长期支持 | 开发 | 2023/10/15 | 预计2025/09/15起进入维护状态 | |281| 2.1.0 | 长期支持 | 开发 | 2023/10/15 | 预计2025/09/15起进入维护状态 | |
274| 2.0.1 | 常规分支 | EOL | 2023/7/19 | | 2024/3/14 |282| 2.0.1 | 常规分支 | EOL | 2023/7/19 | | 2024/3/14 |
275| 1.11.0 | 长期支持 | 维护 | 2023/4/19 | 预计2025/09/10起进入无维护状态 | |283| 1.11.0 | 长期支持 | 维护 | 2023/4/19 | 预计2025/09/10起进入无维护状态 | |
@@ -286,11 +294,11 @@ Ascend Extension for PyTorch版本分支的维护阶段如下:
286 294 
287| 文档名称 | 文档链接 |295| 文档名称 | 文档链接 |
288| -------------------------- | ------------------------------------------------------------ |296| -------------------------- | ------------------------------------------------------------ |
289-| 软件安装指南 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/710/configandinstg/instg/insg_0001.html) |297+| 软件安装指南 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/720/configandinstg/instg/insg_0001.html) |
290-| 网络模型迁移和训练 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/710/ptmoddevg/trainingmigrguide/PT_LMTMOG_0002.html) |298+| 网络模型迁移和训练 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/720/ptmoddevg/trainingmigrguide/PT_LMTMOG_0002.html) |
291-| 算子适配 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/710/ptmoddevg/Frameworkfeatures/featuresguide_00021.html) |299+| 算子适配 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/720/ptmoddevg/Frameworkfeatures/featuresguide_00021.html) |
292-| PyTorch原生接口清单 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/710/apiref/PyTorchNativeapi/ptaoplist_000003.html) |300+| PyTorch原生接口清单 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/720/apiref/PyTorchNativeapi/ptaoplist_000003.html) |
293-| Ascend Extension for PyTorch自定义API参考 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/710/apiref/torchnpuCustomsapi/context/%E6%A6%82%E8%BF%B0.md) |301+| Ascend Extension for PyTorch自定义API参考 | [参考链接](https://www.hiascend.com/document/detail/zh/Pytorch/720/apiref/torchnpuCustomsapi/context/%E6%A6%82%E8%BF%B0.md) |
294 302 
295 303 
296## 许可证304## 许可证
@@ -1,122 +1,190 @@
1OPEN SOURCE SOFTWARE NOTICE1OPEN SOURCE SOFTWARE NOTICE
2- 2+Please note we provide an open source software notice along with this product and/or this product firmware (in the following just "this product"). The open source software licenses are granted by the respective right holders. And the open source licenses prevail all other license information with regard to the respective open source software contained in the product, including but not limited to End User Software Licensing Agreement. This notice is provided on behalf of Huawei Technologies Co. Ltd. and any of its local subsidiaries which may have provided this product to you in your local country.
3-Please note we provide an open source software notice along with this product and/or this product firmware (in the following just “this product”). The open source software licenses are granted by the respective right holders. And the open source licenses prevail all other license information with regard to the respective open source software contained in the product, including but not limited to End User Software Licensing Agreement. This notice is provided on behalf of Huawei Technologies Co. Ltd. and any of its local subsidiaries which may have provided this product to you in your local country.
4 3 
5Warranty Disclaimer4Warranty Disclaimer
6THE OPEN SOURCE SOFTWARE IN THIS PRODUCT IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT WITHOUT ANY WARRANTY, WITHOUT EVEN THE IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. SEE THE APPLICABLE LICENSES FOR MORE DETAILS.5THE OPEN SOURCE SOFTWARE IN THIS PRODUCT IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT WITHOUT ANY WARRANTY, WITHOUT EVEN THE IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. SEE THE APPLICABLE LICENSES FOR MORE DETAILS.
7 6 
8Copyright Notice and License Texts7Copyright Notice and License Texts
9-Software: pytorch v2.3.18+Software: pytorch v2.6.0
10Copyright notice:9Copyright notice:
11-Copyright (c) 2011-2013 NYU
12-Copyright (c) Microsoft Corporation
13-Copyright (c) 2014- Facebook, Inc
14-Copyright (c) 2017 The Android Open Source Project
15-Copyright Python Software Foundation
16-Copyright (c) 2018 Alex Rogozhnikov
17-Copyright (c) 2007-2009 Scientific Computing and Imaging Institute, University of Utah
18-Copyright (c) 2016, NVIDIA CORPORATION, All rights reserved
19-Copyright (c) 2017 Microsoft
20-Copyright (c) Meta Platforms, Inc.
21-Copyright (c) 2022 Apple Inc.
22-Copyright (c) 2018-present, Facebook, Inc.
23-Copyright (c) Facebook Inc. and Microsoft Corporation
24-Copyright (c) 2005-2017, NumPy Developers. All rights reserved
25-Copyright (c) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, All rights reserved
26-Copyright (c) 2014, The Regents
27-Copyright (c) 2005-2010 ActiveState Software Inc.
28-Copyright 2005, Google Inc. All rights reserved
29-Copyright (c) 2022, Tri Dao
30-Copyright (c) 2001-2002 Enthought, Inc. 2003-2019, SciPy Developers. All rights reserved
31-Copyright 2008 Google Inc. All rights reserved
32-Copyright (c) 2003-2017 Josef Weidendorfer. All rights reserved
33-Copyright (c) 2014 Matthew Rocklin
34-Copyright (c) 2016 Microsoft
35-Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved
36-Copyright 2010-2014 Rich Geldreich and Tenacious Software LLC
37-Copyright (c) 2008-2012 The Khronos Group Inc.
38-Copyright (c) 2016 Facebook Inc.
39-Copyright 2010-2014 Rich Geldreich and Tenacious Software LLC All Rights Reserved
40-Copyright (c) 2006, Laurent Montel, <montel@kde.org>
41-Copyright (c) 2015 Google Inc. All rights reserved
42-Copyright (c) 2010-2022 by Alex Clark and contributors
43-Copyright 2015 Google Inc. All Rights Reserved
44-Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved
45-Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
46-(c) BNParamType
47-Copyright 2013-2014 RAD Game
48-Copyright (c) 2011-2019 Stephan Brumme. All rights reserved
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