conda.cli.main_run:execute(47):这是错误信息的头部,表示错误发生在 conda 的main_run函数的第 47 行。这是一个内部函数,我们无法直接修改它。 conda run python D:\python-learn\test:这是错误信息的主体,表示运行了一个 conda 命令,具体是运行了python D:\python-learn\test这个命令。根据错误信息,我们可以...
INFO:root:UsingOBS-Python-SDK-3.20.9.1 3. 配置运行环境 本案例依赖Python3.10.10及以上环境,因此我们首先创建虚拟环境: 深色代码主题 复制 !/home/ma-user/anaconda3/bin/conda create-n python-3.10.10python=3.10.10-y--override-channels--channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs...
Copy source activate<path-to-conda-environment> After the conda environment has been activated, the slug of the environment appears between round brackets next to your terminal prompt. Any subsequent Python commands run in that terminal window tab runs in the active conda environment. To learn more...
在Python下onnxruntime-gpu 代码语言:text session = onnxruntime.InferenceSession(str(model_path), providers=[ "CUDAExecutionProvider", "CPUExecutionProvider" ]) session.run(None, inputs) 解决方案 onnxruntime 的官方文档中有一些关于 Provider 的配置项说明:NVIDIA - CUDA | onnxruntime ...
The compute instance is connected to the file automatically. You can now run the notebook cells or the Python script using the tool to the left of the compute instance. If you have a stopped compute instance, selectStart computeto the right of the Compute dropdown. Depending on your screen...
如果使用整合包,需要检查整合包内的python文件夹中onxx runtime的版本是否正确(我下载的整合包里面的路径是.\facefusion2.6\python\Lib\site-packages) 如果没有用整合包,利用conda list命令检查 我在使用此方法把cuda 版本降低之后,出现了如下报错: Traceback (most recent call last): ...
原因是在MAC下通过虚拟Python环境运行,就会有这个问题。 之后搜索,找到了一个旧的官方一个通过脚本解决的页面,他的虚拟环境是VirtualEnv(我的是conda),照着他的的代码写了个脚本依旧不管用。 重新好好看了官方wiki的安装文档,也没有这方面的信息。 机缘巧合,终于在wxpython的下载页面找到了解决办法,这里不得不吐槽下...
Issue Type: Bug Prior to update February 2022 1.65 you had to set: "python.terminal.activateEnvironment": true to make VSCode activate the selected environment with Conda and not to use the base one, now you need to set this option to fa...
You must have the Numpy and Scipy libraries for Python installed. See the installationinstructionsfor more details. Once the dependencies have been installed, run: $ pip install oct2py If using conda, it is available on conda-forge: $ conda install -c conda-forge oct2py ...
After all binaries are built, you can run the python script with the commandkoboldcpp.py [ggml_model.gguf] [port] Compiling on Windows For Windows: No installation, single file executable, (It Just Works) Since v1.15, requires CLBlast if enabled, the prebuilt windows binaries are included...