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Same error message as in #128, when I run python-test on my local machine I get this error:
======================================================================
ERROR: test_simulator (test_simulator.TestLink)
Test simulating two steps on a simple one-link robot.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/gerry/GIT_REPOS/GTDynamics/python/tests/test_simulator.py", line 49, in test_simulator
results = simulator.simulate(torques_seq, dt)
RuntimeError: EliminateCholesky was called with a request to eliminate variables that are not
involved in the provided factors.
But it's passing in the CI. I'm running MacOS 11.3.1 on M1. Perhaps some python library version (e.g. numpy) or architecture dependence?
Similar to what @yetongumich was saying, doing something like
gfg=graph.linearize(values)
gfg.optimize()
Still throws this error and I don't see how this is possible (we aren't passing any Values object to the Gaussian factor graph so how are there extra keys???).
I didn't go into detail like Yetong to check in C++, but I think this may have something to do with constrained noise models. In the cable robot code, I got several errors like this and changing the constrained noise models to small-sigma fixed them.
The text was updated successfully, but these errors were encountered:
Same error message as in #128, when I run
python-test
on my local machine I get this error:But it's passing in the CI. I'm running MacOS 11.3.1 on M1. Perhaps some python library version (e.g. numpy) or architecture dependence?
Similar to what @yetongumich was saying, doing something like
Still throws this error and I don't see how this is possible (we aren't passing any Values object to the Gaussian factor graph so how are there extra keys???).
I didn't go into detail like Yetong to check in C++, but I think this may have something to do with constrained noise models. In the cable robot code, I got several errors like this and changing the constrained noise models to small-sigma fixed them.
The text was updated successfully, but these errors were encountered: