Fix path for BatchedDot

theano/sandbox/cuda/opt.py

@@ -156,7 +156,7 @@ cpu_ops_moved_to_gpu = [
     tensor.Reshape, tensor.flatten, tensor.Subtensor,
     tensor.AdvancedSubtensor1, tensor.AdvancedIncSubtensor1,
     tensor.IncSubtensor, tensor.Shape, tensor.Join,
-    tensor.Alloc, tensor.Eye, tensor.BatchedDot]
+    tensor.Alloc, tensor.Eye, tensor.blas.BatchedDot]
 
 
 class InputToGpuOptimizer(Optimizer):
@@ -614,7 +614,7 @@ def local_gpu_dot22(node):
 
 
 @register_opt()
-@local_optimizer([gpu_from_host, tensor.BatchedDot])
+@local_optimizer([gpu_from_host, tensor.blas.BatchedDot])
 def local_gpu_batched_dot(node):
     """
     gpu_from_host(batched_dot) -> gpu_batched_dot(gpu_from_host)
@@ -641,10 +641,10 @@ def local_gpu_batched_dot(node):
     if isinstance(node.op, GpuFromHost):
         host_input = node.inputs[0]
         if host_input.owner and isinstance(host_input.owner.op,
-                                           tensor.BatchedDot):
+                                           tensor.blas.BatchedDot):
             x, y = host_input.owner.inputs
             return [gpu_batched_dot(x, y)]
-    if isinstance(node.op, tensor.BatchedDot):
+    if isinstance(node.op, tensor.blas.BatchedDot):
         if any([(i.owner and isinstance(i.owner.op, HostFromGpu))
                 for i in node.inputs]):
             x, y = node.inputs