Hi there,
I am currently using IMP to generate several models in which I apply a set
of 62 restraints, plus ExcludeVolume (I work with XYZR sphere decorators).
When I try to run the script 1000 times in order to generate 1000 different
models, it work. However, when I try to run it 50.000 times, it came up
with an error:
*The script does the following:*
o = IMP.core.ConjugateGradients(model_to_optimize)
o.set_scoring_function(scoring_function) # this method return the
scoring function that is being used
o.optimize(num_iterations) # The maximum number of iteration of the
optimizer to perform.
# Returns the final score
*When I try to run it a lot of times, the following error come up:*
"""
Traceback (most recent call last):
File
"/home/altair/bin/pycharm-community-2019.2.3/helpers/pydev/pydevd.py", line
1415, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File
"/home/altair/bin/pycharm-community-2019.2.3/helpers/pydev/_pydev_imps/_pydev_execfile.py",
line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File
"/home/altair/PycharmProjects/IMP/SCRIPTS_ALTAIR/scripts/exocyst_architecture.py",
line 18, in <module>
* n=50000*, tags=False, log_file=False)
File
"/home/altair/PycharmProjects/IMP/SCRIPTS_ALTAIR/scripts/exocyst_main.py",
line 655, in create_models
* conjugate_gradient_optimization*(model, sf, num_iterations) #
OPTIMIZATION STEP #
File
"/home/altair/PycharmProjects/IMP/SCRIPTS_ALTAIR/scripts/exocyst_main.py",
line 223, in conjugate_gradient_optimization
* o.optimize(num_iterations)* # The maximum number of iteration of the
optimizer to perform.
File
"/home/altair/anaconda3/lib/python3.7/site-packages/IMP/__init__.py", line
5804, in optimize
return _IMP_kernel.Optimizer_optimize(self, max_steps)
_IMP_kernel.ModelException: Failure in ConjugateGradients
Process finished with exit code 1
"""
What does it mean? Is it a problem on the max_steps of the Optimizer
function? Why is this error comming up in the iteration 6000 ,e.g and not
in the first one?
Thanks you!
Sincerely,
Altair