安装好 anaconda 之后新建环境之后直接激活环境conda activate myenv 错误原因 conda 自己已经写的很明白了: CommandNotFoundError:Yourshellhas notbeenproperly configured to use'conda activate'. To initialize yourshell,run $ conda init <SHELL_NAME>Currently supportedshellsare: -bash- fish - tcsh - xonsh ...
# $ conda activate xxx # # To deactivate an active environment, use # # $ conda deactivate root@xxx:/workspace# conda activate xxx CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. To initialize your shell, run $ conda init <SHELL_NAME> Currently ...
刚创建的python虚拟环境,使用激活命令【conda activate envsName】激活时报错: 解决办法: (1)ubuntu系统命令行执行: source activate (2)ubuntu系统命令行执行: source deactivate (3)重新执行激活命令: conda activate dycrectum 激活成功:
I looked at the docs and didn't see anything to help What happened? Notice that python=3.10 is installed and then conda apparently requests python=3.1? ➜ conda create -n test python Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## env...
意思就是当前 shell 没激活conda activate命令,需要激活。 解决方法 激活命令 Windows:conda init <SHELL_NAME> SHELL_NAME 替换成当前的shell名称,比如 Windows 一般是conda init cmd Linux:一般是source activate 踩坑记录 曾经天真的我只运行了conda init,然后一直没激活成功。。
I can see on anaconda.org that a package forpy-lieffor Python 3.10 on Linux 64 bit does exist: https://anaconda.org/anaconda/py-lief/files And I can install all of its dependencies, so the error seems to be about py-lief itself. If I runconda-search, I can see a version ofpy-...
And the error will happen after I run the clone command: root@head:/home/hpcadmin/fy/test_ai# conda create -y -v --clone pytorch -p /home/hpcadmin/fy/test_ai/pytorch Source: /opt/intel/oneapi/intelpython/latest/envs/pytorch-1.7.0 Destination: /home/hpcadmin...
The block at the bottom contains my local environment settings for PATH - the block at the top is clearly the Anaconda prompt adding its set of directories to the PATH. I have a python_utils project in PyCharm, for which I am using the py_utils conda environment. ...
6、RuntimeError: cuda runtime error (801) : operation not supported at C:\w\1\s\tmp_conda_3.6_095855\conda\conda-bld\pytorch_1579082406639\work\torch/csrc/generic/StorageSharing.cpp:245 没有深究背后深层的错误原因,这个错误是在window系统上跑的时候出现的,去掉了linux下加的问题3中的第一行代码...
Step 2: Configure the Python Interpreter. Step 3: Add external Python modules to the configured interpreter. Step 4: Use the Model Downloader and Model Optimizer with your Python project. Step 5: Run a sample application. Software/Hardware Requirements ...