removed debug print and code not needed anymore since bug are fixed

theano/tensor/opt.py

@@ -486,35 +486,6 @@ class ShapeOptimizer(Optimizer):
 # -1 should make it run right before the first merge
 theano.compile.mode.optdb.register('ShapeOpt', ShapeOptimizer(), -1, 'fast_run', 'fast_compile')
 
-#This is a bug fix as ShapeFeature should do this, but it don't in the deep teaching tutorial.
-@gof.local_optimizer([None, None])
-def local_shape_i_lift(node):
-    """
-    "Lifts" DimShuffle through Elemwise operations and merges
-    consecutive DimShuffles. Basically, applies the following
-    transformations on the whole graph:
-
-    DimShuffle(Elemwise(x, y)) => Elemwise(DimShuffle(x), DimShuffle(y))
-    DimShuffle(DimShuffle(x)) => DimShuffle(x)
-
-    After this transform, clusters of Elemwise operations are
-    void of DimShuffle operations.
-    """
-    op = node.op
-    if not isinstance(op, Shape_i):
-        return False
-
-    input = node.inputs[0]
-    inode = input.owner
-    if inode and isinstance(inode.op, Elemwise) and inode.op.scalar_op.nin==1:
-        return node.env.shape_feature.shape_of[input]
-
-## Disabled registration, because local_track_shape_i does the same (but better)
-## TODO: remove local_shape_i_lift altogether
-## -- Pascal L., 20100227.
-#register_canonicalize(local_shape_i_lift)
-#register_specialize(local_shape_i_lift)
-
 @register_specialize
 @register_canonicalize
 @gof.local_optimizer([T.fill])
@@ -568,9 +539,6 @@ def local_track_shape_i(node):
     if node in shape_feature.scheduled:
         assert isinstance(node.op, Shape_i)
         replacement = shape_feature.scheduled[node]
-        #if len(shape_feature.shape_of[replacement])!=1:
-            #import pdb;pdb.set_trace()
-        print >> sys.stderr, "REPLACING SOMETHING", replacement, shape_feature.shape_of[replacement]
         return [shape_feature.shape_of[replacement][node.op.i]]
 
 @register_specialize