Comments (3)
Did you set up RELION's Python environment by conda?
from relion.
Hi,
No, the spack package should handle managing that environment without need for conda. It worked fine for [email protected] and considering relion needs to run on an HPC environment, conda isn't a great solution to make this available for all of our users without having to redo this for each user. Or at least, I think thats how it should work...
from relion.
RELION 5.0 assumes you set up a conda environment with the provided environment.yaml
.
If you don't want to use conda, you need to install required packages yourself and point the Python runtime to RELION by cmake -DPYTHON_EXE_PATH
.
Probably you need a custom Spark build script but I have never used Spark so I cannot help you.
conda isn't a great solution to make this available for all of our users without having to redo this for each user
No, you just install conda and set up the environment in a common application folder and let others use it. You don't have to make the common folder globally writable.
from relion.
Related Issues (20)
- compile relion 5 error HOT 21
- Bayesian polishing aborting with mpi issues HOT 3
- Relion (v4 or v5) crashing after resuming Refine3D from optimiser.star HOT 4
- DynaMight running issue "Index tensor must have the same number of dimensions as self tensor" HOT 3
- Relion 4.0.0 initial 3D GPU/noGPU refinement doesn't seem to put multiple threads to different CPUs HOT 2
- Relion5 Beta DynaMight deformed backprojection error HOT 3
- Optimizing 2D classification and selection in schemes HOT 1
- MultiBody refinement MPI message truncated Error - relion 5.0 HOT 2
- Relion 5.0 fails to reconstruct tomograms after tilt-series alignment HOT 10
- Function remove_duplicate in star_handler HOT 1
- Refine3D starting from 1/2 maps doesn't appear to initialise references from 1/2 map 2. HOT 7
- relion 5 refinement failed with memory issue HOT 18
- somthing wrong while installing HOT 3
- some problem in auto-refine HOT 5
- Relion-5.0: ImportTomo fails to unbin coordinates of particles
- Blush not applied when continuing classification from optimiser.star
- Relion-5.0: GPU memory errors in Class3D on subtomograms HOT 7
- Relion-5.0 Tomo relion_python_tomo_view error
- Variables in relion_schemegui.py HOT 1
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