BlueSkyXN commented 3 months ago

CUDA12.0运行本程序

环境

不需要Conda，使用原生环境

测试设备 NV RTX4080，Windows11PRO23H2，Python3.10.11

测试人 @BlueSkyXN

操作流程

首先用git clone下载仓库内容
修改 requirements.txt，去掉onnxruntime-gpu和paddlepaddle-gpu
在Windows应用安装中卸载全部名字带CUDA的
在NV官网下载CUDA安装包，地址是 https://developer.nvidia.com/cuda-12-0-0-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exe_local
安装CUDA12，全部默认，除了安装内容仅勾选CUDA，不需要覆盖驱动啥的（自定义，非精简）
下载CUDNN-8.9.7.29-CUDA12包，地址是 https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-8.9.7.29_cuda12-archive.zip 下载后解压，并把它的BIN目录加到环境变量Path中即可，无需重启
用这个命令安装 paddlepaddle-gpu ，命令是 python -m pip install paddlepaddle-gpu==2.6.1.post120 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html
验证paddle的安装，命令是先输入python，再输入paddle.utils.run_check() 如果没有报错就是成功了
用这个命令安装 onnxruntime-gpu ，命令是 pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ 注意这个是境外的微软源，可能网速不咋地，可开魔法。 https://github.com/lazydog28/mc_auto_boss/issues/125#issuecomment-2285165430
然后 pip install -r requirements.txt 即可把其他依赖装上，建议全局镜像源，或者这时用-i指定 -i https://pypi.tuna.tsinghua.edu.cn/simple 推荐清华或者腾讯的，我一般用腾讯的，别用阿里，今晚试了下很慢。
然后改配置文件 config.yaml ，注意路径，比如我是wegame和官服同时玩的，官服配置文件我锁了120FPS，所以我在wegame上运行
启动游戏后，不要把鸣潮游戏窗口最小化、修改配置文件、双屏用户鼠标会锁定在主屏幕，修改游戏设置尤其是镜头重置要打开
然后运行python background/main.py 注意路径要在仓库路径
升级程序的话，把config.yaml复制走其他不动

BlueSkyXN commented 3 months ago

不会提交GitHub wiki，就这样吧

chryssss commented 3 months ago

8.验证paddle的安装，命令是先输入python，再输入paddle.utils.run_check() 如果没有报错就是成功了

这里大家别忘了输入Python之后import paddle(

HugoLau91 commented 2 months ago

楼上是对的，官方教程：使用 python 进入 python 解释器，输入import paddle ，再输入 paddle.utils.run_check()，如果出现PaddlePaddle is installed successfully!，说明您已成功安装。

BlueSkyXN commented 1 month ago

本教程适用的版本 https://github.com/lazydog28/mc_auto_boss/commit/7e44d41b1f20197843553100cf2432e8c72b83d8

CUDA是12.0

base) PS G:\Github\mc_auto_boss.wiki> nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Mon_Oct_24_19:40:05_Pacific_Daylight_Time_2022
Cuda compilation tools, release 12.0, V12.0.76
Build cuda_12.0.r12.0/compiler.31968024_0

另外原文的onnxruntime-gpu安装命令有变化，因为1.8.1实测报错可用的版本是1.8.0 安装命令

pip install onnxruntime-gpu==1.18.0 --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/

如果是1.8.1会报错如下

(base) PS G:\Github\mc_auto_boss2> python background/main.py
2024-08-13 07:42:32.7557461 [E:onnxruntime:Default, provider_bridge_ort.cc:1745 onnxruntime::TryGetProviderInfo_CUDA] D:\a\_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1426 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_providers_cuda.dll"

*************** EP Error ***************
EP Error D:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:891 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page  (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements),  make sure they're in the PATH, and that your GPU is supported.
 when using ['CUDAExecutionProvider']
Falling back to ['CUDAExecutionProvider', 'CPUExecutionProvider'] and retrying.
****************************************
2024-08-13 07:42:32.7786336 [E:onnxruntime:Default, provider_bridge_ort.cc:1745 onnxruntime::TryGetProviderInfo_CUDA] D:\a\_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1426 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_providers_cuda.dll"

Traceback (most recent call last):
  File "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 419, in __init__
    self._create_inference_session(providers, provider_options, disabled_optimizers)
  File "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session
    sess.initialize_session(providers, provider_options, disabled_optimizers)
RuntimeError: D:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:891 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page  (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements),  make sure they're in the PATH, and that your GPU is supported.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "G:\Github\mc_auto_boss2\background\main.py", line 12, in <module>
    from task import boss_task, synthesis_task, echo_bag_lock_task
  File "G:\Github\mc_auto_boss2\background\task\__init__.py", line 9, in <module>
    from .pages.general import pages as general_pages
  File "G:\Github\mc_auto_boss2\background\task\pages\__init__.py", line 13, in <module>
    from utils import *
  File "G:\Github\mc_auto_boss2\background\utils.py", line 27, in <module>
    from yolo import search_echoes
  File "G:\Github\mc_auto_boss2\background\yolo.py", line 21, in <module>
    model = rt.InferenceSession(model_path, providers=provider)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 432, in __init__
    raise fallback_error from e
  File "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 427, in __init__
    self._create_inference_session(self._fallback_providers, None)
  File "C:\ProgramData\anaconda3\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 483, in _create_inference_session
    sess.initialize_session(providers, provider_options, disabled_optimizers)
RuntimeError: D:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:891 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page  (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements),  make sure they're in the PATH, and that your GPU is supported.

BlueSkyXN commented 1 month ago

(base) PS C:\Users\SKY> cd G:\Github\mc_auto_boss2
(base) PS G:\Github\mc_auto_boss2> python background/main.py
未找到游戏窗口
按任意键退出...
(base) PS G:\Github\mc_auto_boss2> nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Fri_Jun_14_16:44:19_Pacific_Daylight_Time_2024
Cuda compilation tools, release 12.6, V12.6.20
Build cuda_12.6.r12.6/compiler.34431801_0
(base) PS G:\Github\mc_auto_boss2>

升级到CUDA12.6，不影响运行

lazydog28 / mc_auto_boss

CUDA12.0运行本程序经验分享 #125

CUDA12.0运行本程序

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