It did not use to happen, likely it started due to the new version of everything that I am using.
When I ask for suggested_experiments to SNOBFIT, it some times gives me the answers and some times it gives an error, and this happens repeating exactly this same code:
strategySNOBFIT = SNOBFIT(domain_constr)
strategySNOBFIT.reset()
strategySNOBFIT.suggest_experiments(2, prev_res=prev_res_extreme)
the more experiments I require, the more likely it is to fail.
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
Cell In[75], line 2
1 strategySNOBFIT.reset()
----> 2 strategySNOBFIT.suggest_experiments(2, prev_res=prev_res_extreme)
File /home/ilario/.venv/lib/python3.10/site-packages/summit/strategies/snobfit.py:142, in SNOBFIT.suggest_experiments(self, num_experiments, prev_res, **kwargs)
140 while not valid_next_experiments and c_iter < inner_iter_tol:
141 valid_next_experiments = False
--> 142 next_experiments, xbest, fbest, param = self._inner_suggest_experiments(
143 num_experiments=num_experiments,
144 prev_res=prev_res,
145 prev_param=inner_prev_param,
146 )
147 # Invalid experiments hidden from data returned to user but stored internally elswehere
148 invalid_experiments = next_experiments.loc[
149 next_experiments[("constraint", "DATA")] == False
150 ]
File /home/ilario/.venv/lib/python3.10/site-packages/summit/strategies/snobfit.py:337, in SNOBFIT._inner_suggest_experiments(self, num_experiments, prev_res, prev_param)
334 dx = (bounds[:, 1] - bounds[:, 0]) * self._dx_dim
336 # Run SNOBFIT for one iteration
--> 337 request, xbest, fbest, param = self.snobfit(x0, y0, config, dx, prev_param)
339 # Generate DataSet object with variable values of next experiments
340 next_experiments = {}
File /home/ilario/.venv/lib/python3.10/site-packages/summit/strategies/snobfit.py:609, in SNOBFIT.snobfit(self, x, f, config, dx, prev_param)
607 fnan = numpy.concatenate((fnan, ind.flatten()))
608 if fnan.size > 0:
--> 609 f = snobnan(fnan, f, near, inew)
611 fbest, jbest = min_(f[:, 0])
612 xbest = x[jbest]
File /home/ilario/.venv/lib/python3.10/site-packages/SQSnobFit/_snobnan.py:78, in snobnan(fnan, f, near, inew)
75 ind1 = numpy.concatenate((ind1, [i]), 0)
77 if ind1.size > 0:
---> 78 ind = numpy.delete(ind, ind1, 0)
80 if ind.size <= 0:
81 f[l,0] = fmx + 1.e-3*(fmx-fmn)
File <__array_function__ internals>:180, in delete(*args, **kwargs)
File /home/ilario/.venv/lib/python3.10/site-packages/numpy/lib/function_base.py:5128, in delete(arr, obj, axis)
5126 else:
5127 keep = ones(N, dtype=bool)
-> 5128 keep[obj,] = False
5130 slobj[axis] = keep
5131 new = arr[tuple(slobj)]
IndexError: arrays used as indices must be of integer (or boolean) type
GPy-1.10.0 SQCommon-0.3.2 SQSnobFit-0.4.5 attrs-22.1.0 autograd-1.5 botorch-0.7.3 cma-2.7.0 contourpy-1.0.6 cycler-0.11.0 cython-0.29.32 decorator-5.1.1 fastprogress-0.2.6 fonttools-4.38.0 future-0.18.2 gpyopt-1.2.6 gpytorch-1.9.0 h5py-3.7.0 iniconfig-1.1.1 joblib-1.2.0 kiwisolver-1.4.4 linear-operator-0.2.0 llvmlite-0.38.1 matplotlib-3.6.2 multipledispatch-0.6.0 numba-0.55.2 numpy-1.22.4 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 opt-einsum-3.3.0 packaging-21.3 pandas-1.5.2 paramz-0.9.5 pillow-9.3.0 pluggy-1.0.0 py-1.11.0 pymoo-0.4.2.2 pyparsing-3.0.9 pyrff-2.0.2 pyro-api-0.1.2 pyro-ppl-1.8.3 pytest-6.2.5 python-dateutil-2.8.2 pytz-2022.6 scikit-learn-1.1.3 scipy-1.9.3 six-1.16.0 skorch-0.9.0 summit-0.8.8 tabulate-0.9.0 threadpoolctl-3.1.0 toml-0.10.2 torch-1.13.0 tqdm-4.64.1 typing-extensions-4.4.0 wheel-0.38.4
Open VSCodium and indicate to use .venv as an environment.
Run some summit stuff.
Description
It did not use to happen, likely it started due to the new version of everything that I am using.
When I ask for suggested_experiments to SNOBFIT, it some times gives me the answers and some times it gives an error, and this happens repeating exactly this same code:
the more experiments I require, the more likely it is to fail.
This is the error:
What I Did
python -m venv .venv source .venv/bin/activate pip install -U summitThis installed these versions of the Python packages:
GPy-1.10.0 SQCommon-0.3.2 SQSnobFit-0.4.5 attrs-22.1.0 autograd-1.5 botorch-0.7.3 cma-2.7.0 contourpy-1.0.6 cycler-0.11.0 cython-0.29.32 decorator-5.1.1 fastprogress-0.2.6 fonttools-4.38.0 future-0.18.2 gpyopt-1.2.6 gpytorch-1.9.0 h5py-3.7.0 iniconfig-1.1.1 joblib-1.2.0 kiwisolver-1.4.4 linear-operator-0.2.0 llvmlite-0.38.1 matplotlib-3.6.2 multipledispatch-0.6.0 numba-0.55.2 numpy-1.22.4 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 opt-einsum-3.3.0 packaging-21.3 pandas-1.5.2 paramz-0.9.5 pillow-9.3.0 pluggy-1.0.0 py-1.11.0 pymoo-0.4.2.2 pyparsing-3.0.9 pyrff-2.0.2 pyro-api-0.1.2 pyro-ppl-1.8.3 pytest-6.2.5 python-dateutil-2.8.2 pytz-2022.6 scikit-learn-1.1.3 scipy-1.9.3 six-1.16.0 skorch-0.9.0 summit-0.8.8 tabulate-0.9.0 threadpoolctl-3.1.0 toml-0.10.2 torch-1.13.0 tqdm-4.64.1 typing-extensions-4.4.0 wheel-0.38.4
Open VSCodium and indicate to use .venv as an environment.
Run some summit stuff.