fixed some instances where join object was used instead of it's class

theano/gpuarray/opt.py

@@ -591,7 +591,7 @@ def local_gpua_alloc2(node):
         return
     if (isinstance(node.op, tensor.Alloc) and
         all(c != 'output' and
-            c.op == tensor.join and
+            isinstance(c.op, tensor.Join) and
             all(i.owner and
                 i.owner.op in [host_from_gpu, tensor.alloc]
                 for i in c.inputs[1:])

theano/sandbox/cuda/opt.py

@@ -2207,7 +2207,7 @@ def local_gpualloc(node):
             # if all clients are on gpu
             replace = True
         elif all([c != 'output' and
-                  c.op == tensor.join and
+                  isinstance(c.op, tensor.Join) and
                   all(i.owner and
                       i.owner.op in [host_from_gpu, tensor.alloc]
                       for i in c.inputs[1:])

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -945,7 +945,7 @@ def test_gpujoin_gpualloc():
         mode=mode_with_gpu)
 
     assert sum([node.op == T.alloc for node in f.maker.fgraph.toposort()]) == 2
-    assert sum([node.op == T.join_ for node in f.maker.fgraph.toposort()]) == 1
+    assert sum([isinstance(node.op, T.Join) for node in f.maker.fgraph.toposort()]) == 1
     assert sum([isinstance(node.op, B.GpuAlloc)
                 for node in f_gpu.maker.fgraph.toposort()]) == 2
     assert sum([node.op == B.gpu_join