#Anaconda create environment from yaml file install#
Note that at the time of this writing doing conda env create -file environment.yml to create the yml env results in an error: $ conda env create -file environment. A straightforward way is to first create the empty environment and set the channel priority to strict, then install the packages from the spec file: conda create newenv conda activate newenv conda config -env -add channels conda-forge conda config -env -set channelpriority strict conda env update -name newenv -file env.yml. Prefix: /home/miranda9/miniconda3/envs/myenv Added in Conda v4.9, there is now support for automatic defining of environment-specific variables as part of an environment YAML definition. but I am trying to figure a way to define the prefix so the user will not have to type it themselves but it will be automatically configured to be their home directory. The channels section inside the environment file specifies the path to your local repository where you extracted the local-conda-repository.tgz file in the previous step. To create an environment from a YAML file, click Add and select the file that you want to use.
pytorch=1.7.1=p圓.8_cuda11.0.221_cudnn8.0.5_0 Perhaps a bit verbose, but it avoids having to manually manage files in etc/conda/(de)activate.d. I managed to setup an environment to a specific path using a prefix like this: conda env create -prefixNo need to run pip freeze > requirements4pip.txt separately for me or include it as a - pip: If you want to do it automatically it seems that if you do: conda env export > environment.ymlĪlready has the pip things you need.
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