make test about CudaNdarray shared variable work when the original data is already a CudaNdarray.

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -830,14 +830,14 @@ test_shared_options = theano.tensor.tests.test_sharedvar.makeSharedTester(
     shared_constructor_ = tcn.shared_constructor,
     dtype_ = 'float32',
     get_value_borrow_true_alias_ = False,
-    shared_borrow_true_alias_ = False,
+    shared_borrow_true_alias_ = True,#True when the original value is already a CudaNdarray!
     set_value_borrow_true_alias_ = False,
     set_value_inplace_ = True,
     internal_type_ = cuda_ndarray.CudaNdarray,
     test_internal_type_ = lambda a: isinstance(a,cuda_ndarray.CudaNdarray),
     theano_fct_ = theano.tensor.exp,
     ref_fct_ = numpy.exp,
-    cast_value_ = numpy.asarray,
+    cast_value_ = cuda_ndarray.CudaNdarray,
     op_by_matrix_ = True)
 
 if __name__ == '__main__':

theano/tensor/tests/test_sharedvar.py

@@ -59,8 +59,11 @@ def makeSharedTester(shared_constructor_,
 
             assert numpy.allclose(self.ref_fct(x), total_val)
 
-            x /= .5
-
+            values_to_div = .5
+            if self.op_by_matrix:
+                values_to_div = self.internal_type(numpy.ones(x.shape,dtype=dtype)/2)#supported for cudandarray, but not ndarray.
+                assert self.test_internal_type(values_to_div)
+            x /= values_to_div
             total_val_2 = total_func()
 
             #value used to construct should not alias with internal
@@ -195,7 +198,7 @@ def makeSharedTester(shared_constructor_,
                 assert x is get_x
             else:
                 assert x is not get_x
-            assert numpy.allclose(self.ref_fct(x_orig/.5),self.ref_fct(x))
+            assert numpy.allclose(self.ref_fct(numpy.asarray(x_orig)/.5),self.ref_fct(x))
 
             #test optimized get set value on the gpu(don't pass data to the cpu)
             get_x = x_shared.get_value(borrow=True, return_internal_type=True)
@@ -234,7 +237,12 @@ def makeSharedTester(shared_constructor_,
 
             assert numpy.allclose(self.ref_fct(x), total_val)
 
-            x /= .5
+            values_to_div = .5
+            if self.op_by_matrix:
+                #supported for cudandarray, but not ndarray.
+                values_to_div = self.internal_type(numpy.ones(x.shape,dtype=dtype)/2)
+                assert self.test_internal_type(values_to_div)
+            x /= values_to_div
 
             #not required by the contract but it is a feature we've implemented
             if self.shared_borrow_true_alias: