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For PythonJob, one important step is to set up the environment on the remote computer.
The Python version (more precisely the protocol of the pickle) should be the same on the local and remote computers.
The required module for the calculation.
We already provided a function create_conda_env to help user setup the conda env. But there is another simple solution: copy the local environment to the remote computer.
The possible steps:
create conda env on a remote computer
check the local python env, and install the same packages on the remote conda env. Exclude some packages: aiida, aiida-workgraph, etc
check the differences between the local env and remote env, and show the differences to the user.
Final goal: provide a command to do this, e.g., workgraph create-env --name xxx --computer xxx
The text was updated successfully, but these errors were encountered:
For
PythonJob
, one important step is to set up the environment on the remote computer.We already provided a function create_conda_env to help user setup the conda env. But there is another simple solution: copy the local environment to the remote computer.
The possible steps:
Final goal: provide a command to do this, e.g.,
workgraph create-env --name xxx --computer xxx
The text was updated successfully, but these errors were encountered: