-c stands for –channel. It’s used to specify a channel where to search for your package, the channel is often named owner. The generic command is: conda install -c CHANNEL_NAME PACKAGE_NAME For example, let’s say you want to download pytorch. You can search on anaconda.org. You’ll see that pytorch (the pacakge) is owned by pytorch. … Read more
It removes unused packages from under the pkgs/ directory wherever you happen to have conda installed. An “unused” package is one that’s not used in any environment. All conda packages are stored under the pkgs/ directory and then hard-linked (if possible) into the environments. As an aside, conda clean will print out the location of … Read more
Followed this tutorial and it worked. Example Dockerfile: FROM continuumio/miniconda WORKDIR /usr/src/app COPY ./ ./ RUN conda env create -f environment.yml # Make RUN commands use the new environment: SHELL [“conda”, “run”, “-n”, “myenv”, “/bin/bash”, “-c”] EXPOSE 5003 # The code to run when container is started: ENTRYPOINT [“conda”, “run”, “-n”, “myenv”, “python3”, “src/server.py”] Update: … Read more
You can use a conda custom channel as your private repo. The essential steps are to use “conda build” to create a conda package, then copy that package into your custom channel (a directory), and now run conda index on that directory. You can then install packages from this channel by using the “conda install … Read more
If using anaconda to install tensorflow-gpu, yes it will install cuda and cudnn for you in same conda environment as tensorflow-gpu. All you need to install yourself is the latest nvidia-driver (so that it works with the latest CUDA level and all older CUDA levels you use.) This has many advantages over the pip install … Read more
You are using python 3.8, which was not officially supported when tensorflow was at version 1.15. You can also check on pypi, there are no files available for cp38, even for 2.10 Onle the versions listed by your command have a cp38 whl file available, see here Since you have conda, simply create a virtual … Read more
Name-based reference of Conda environments only works for environments located in one of the directories listed in the envs_dirs configuration option (see conda config –describe envs_dirs). By default this corresponds to the envs/ subdirectory in the Conda installation. If you create an env outside of one of these directories, then you cannot use a name … Read more
conda clean –yes –all will sanitize everything. But take note: if you ever want to do any type of –offline operations, don’t use –all; be more selective.
The first matching executable is the one that is run. From what I can gather you are concatenating your PATH variable in such a way that: /usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin comes before: $HOME/anaconda/bin So make sure that the anaconda directory is the first one, meaning that it will have precedence: export PATH=”$HOME/anaconda/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin:$PATH”
How to reinstall a package depends on the conda version. newer versions (>= 4.6): conda install numpy –force-reinstall older versions (< 4.6): conda install numpy –force