add all ops for metaoptimizing

theano/gof/opt.py

@@ -1134,17 +1134,19 @@ class LocalMetaOptimizer(LocalOptimizer):
     def __init__(self, optimizers=()):
         self._tracks = [x for o in optimizers for x in o.tracks()]
         self.optimizers = list(optimizers)
-        self.verbose = config.metaopt.verbose
+        self.verbose = True
         self.track_dict = defaultdict(lambda: [])
 
         for o in optimizers:
             for c in o.tracks():
                 self.track_dict[c].append(o)
 
-    def register(self, optimizer):
-        self.optimizers.append(optimizer)
-        for c in optimizer.tracks():
-            self.track_dict[c].append(optimizer)
+    def register(self, optimizers):
+        self.optimizers.extend(optimizers)
+        for o in optimizers:
+            for c in o.tracks():
+                self.track_dict[c].append(o)
+                self._tracks.append(c)
 
     def tracks(self):
         return self._tracks

theano/gpuarray/opt.py

@@ -1788,7 +1788,7 @@ class LocalCudaMetaOptimizer(LocalMetaOptimizer):
 
 class ConvMetaOptimizer(LocalCudaMetaOptimizer):
 
-    def __init__(self, optimizers):
+    def __init__(self, optimizers=()):
         super(ConvMetaOptimizer, self).__init__(optimizers)
 
     def provide_inputs(self, node, inputs):
@@ -2419,8 +2419,7 @@ register_opt('fast_compile')(abstractconv_groupopt)
 from .dnn import (local_abstractconv_cudnn, local_abstractconv_gw_cudnn,
                   local_abstractconv_gi_cudnn)     # noqa: 402
 
-conv_metaopt = ConvMetaOptimizer((local_abstractconv_gemm,
-                                  local_abstractconv_cudnn))
+conv_metaopt = ConvMetaOptimizer()
 abstractconv_groupopt.register('conv_metaopt', conv_metaopt, 0, 'conv_meta')
 
 
@@ -2461,7 +2460,7 @@ abstractconv_groupopt.register('local_abstractconv3d_gradinputs',
                                'conv_gemm',
                                'gpuarray', 'fast_compile', 'fast_run')
 
-
+conv_metaopt.register(abstractconv_groupopt.query(*['+' + name for name in abstractconv_groupopt._names]).opts)
 # Register cuDNN batch normalization implementation
 
 # We import these opts here instead of at the top of this file