Rename config flag conv_meta.verbose to metaopt.verbose

theano/gof/opt.py

@@ -823,6 +823,10 @@ class LocalOptimizer(object):
                 (' ' * level), self.__class__.__name__, id(self))
 
 
+theano.configparser.AddConfigVar('metaopt.verbose',
+        "Enable verbose output for meta optimizers",
+        theano.configparser.BoolParam(False), in_c_key=False)
+
 class LocalMetaOptimizer(LocalOptimizer):
     """Base class for meta-optimizers that try a set of LocalOptimizers
     to replace a node and choose the one that executes the fastest"""
@@ -830,7 +834,7 @@ class LocalMetaOptimizer(LocalOptimizer):
     def __init__(self, tracks=None, optimizers=()):
         self._tracks = tracks
         self.optimizers = list(optimizers)
-        self.verbose = False
+        self.verbose = config.metaopt.verbose
 
     def register(self, optimizer):
         self.optimizers.append(optimizer)

theano/sandbox/cuda/opt.py

@@ -1361,14 +1361,9 @@ class LocalCudaMetaOptimizer(LocalMetaOptimizer):
 
 # Convolution Meta-optimizer
 
-theano.configparser.AddConfigVar('conv_meta.verbose',
-        "Enable verbose output for conv_meta optimizer",
-        theano.configparser.BoolParam(False), in_c_key=False)
-
 class ConvMetaOptimizer(LocalCudaMetaOptimizer):
     def __init__(self, optimizers):
         super(ConvMetaOptimizer, self).__init__([GpuConv], optimizers)
-        self.verbose = config.conv_meta.verbose
 
     def provide_inputs(self, node, inputs):
         # We need to provide dummy data for the given inputs.