Merge pull request #464 from lamblin/fix_eq_opt_error

theano/gof/opt.py

@@ -1113,6 +1113,7 @@ class EquilibriumOptimizer(NavigatorOptimizer):
         max_use_abort = False
         opt_name = None
         process_count = {}
+        max_nb_nodes = 0
 
         while changed and not max_use_abort:
             changed = False
@@ -1130,7 +1131,8 @@ class EquilibriumOptimizer(NavigatorOptimizer):
 
             q = deque(graph.io_toposort(env.inputs, start_from))
 
-            max_use = len(q) * self.max_use_ratio
+            max_nb_nodes = max(max_nb_nodes, len(q))
+            max_use = max_nb_nodes * self.max_use_ratio
             def importer(node):
                 if node is not current_node:
                     q.append(node)
@@ -1148,15 +1150,14 @@ class EquilibriumOptimizer(NavigatorOptimizer):
                     current_node = node
                     for lopt in self.local_optimizers:
                         process_count.setdefault(lopt, 0)
-                        if process_count[lopt] > max_use:
-                            max_use_abort = True
-                            opt_name = (getattr(lopt, "name", None)
-                                        or getattr(lopt, "__name__", None) or "")
-                        else:
                         lopt_change = self.process_node(env, node, lopt)
                         if lopt_change:
                             process_count[lopt] += 1
                             changed = True
+                            if process_count[lopt] > max_use:
+                                max_use_abort = True
+                                opt_name = (getattr(lopt, "name", None)
+                                            or getattr(lopt, "__name__", ""))
                             if node not in env.nodes:
                                 break # go to next node
             finally:

theano/gof/optdb.py

@@ -15,13 +15,9 @@ AddConfigVar('optdb.position_cutoff',
              ' position of the optimizer where to stop.',
         FloatParam(numpy.inf),
         in_c_key=False)
-#upgraded to 20 to avoid EquibriumOptimizer error
-# to be max'ed out by constant folding (can
-# I increase the max ratio only for
-# constant folding somehow?
 AddConfigVar('optdb.max_use_ratio',
         'A ratio that prevent infinite loop in EquilibriumOptimizer.',
-        FloatParam(20),
+        FloatParam(5),
         in_c_key=False)
 
 

theano/gof/tests/test_opt.py

@@ -406,4 +406,4 @@ class TestEquilibrium(object):
         finally:
             _logger.setLevel(oldlevel)
         print 'after', g
-        assert str(g) == '[Op4(x, y)]'
+        assert str(g) == '[Op1(x, y)]'