replaced get_destroyers and fgraph.destroyers with has_destroyers

theano/compile/function_module.py

@@ -195,7 +195,7 @@ def std_fgraph(input_specs, output_specs, accept_inplace=False):
                    for spec, input in zip(input_specs, fgraph.inputs)
                    if not (spec.mutable or
                            (hasattr(fgraph, 'destroyers') and
-                            fgraph.destroyers(input)))))
+                            fgraph.has_destroyers([input])))))
 
     # If named nodes are replaced, keep the name
     for feature in std_fgraph.features:
@@ -1090,7 +1090,7 @@ def insert_deepcopy(fgraph, wrapped_inputs, wrapped_outputs):
 
     # We can't use fgraph.inputs as this don't include Constant Value.
     all_graph_inputs = gof.graph.inputs(fgraph.outputs)
-    has_get_destroyers = hasattr(fgraph, 'get_destroyers_of')
+    has_destroyers_attr = hasattr(fgraph, 'has_destroyers')
 
     for i in xrange(len(fgraph.outputs)):
         views_of_output_i = set()
@@ -1121,7 +1121,7 @@ def insert_deepcopy(fgraph, wrapped_inputs, wrapped_outputs):
                 #    being updated
                 if input_j in updated_fgraph_inputs:
                     continue
-                if input_j in views_of_output_i and not (has_get_destroyers and fgraph.get_destroyers_of(input_j)):
+                if input_j in views_of_output_i and not (has_destroyers_attr and fgraph.has_destroyers([input_j])):
                     # We don't put deep_copy_op if the input and the
                     # output have borrow==True
                     if input_j in fgraph.inputs:

theano/gof/destroyhandler.py

@@ -250,7 +250,7 @@ def fast_inplace_check(inputs):
 
     inputs = [i for i in inputs if
               not isinstance(i, graph.Constant) and
-              not fgraph.destroyers(i) and
+              not fgraph.has_destroyers([i]) and
               i not in protected_inputs]
     return inputs
 

theano/tensor/opt.py

@@ -265,8 +265,8 @@ class InplaceElemwiseOptimizer(Optimizer):
                 candidate_inputs = [i for i in xrange(len(node.inputs))
                                     if i not in baseline.values() and
                                     not isinstance(node.inputs[i], Constant) and
-                                    # Is next line costly?
-                                    not fgraph.destroyers(node.inputs[i]) and
+                                    # Is next line costly? (used to be fgraph.get_destroyers)
+                                    not fgraph.has_destroyers([node.inputs[i]]) and
                                     node.inputs[i] not in protected_inputs]
             else:
                 baseline = []
@@ -277,7 +277,7 @@ class InplaceElemwiseOptimizer(Optimizer):
                 # Remove here as faster.
                 candidate_inputs = [i for i in xrange(len(node.inputs))
                                     if not isinstance(node.inputs[i], Constant) and
-                                    not fgraph.destroyers(node.inputs[i]) and
+                                    not fgraph.has_destroyers([node.inputs[i]]) and
                                     node.inputs[i] not in protected_inputs]
 
             verbose = False