Revert 9024e481d2b5 now that numpy+floatX is not the default.

theano/sandbox/cuda/tests/test_opt.py

@@ -35,12 +35,6 @@ def test_no_shared_var_graph():
     assert numpy.any(isinstance(x.op,cuda.HostFromGpu) for x in l)
 
 def test_int_pow():
-    # This is to ensure that '4' does not upcast to float64.
-    if config.cast_policy == 'numpy+floatX':
-        floatX_backup = config.floatX
-        config.floatX = 'float32'
-
-    try:
     a = CudaNdarrayType([False])()
 
     f = theano.function([a], (a*4).sum(), mode=mode_with_gpu)
@@ -54,10 +48,6 @@ def test_int_pow():
 
     #theano.printing.debugprint(f)
 
-    finally:
-        if config.cast_policy == 'numpy+floatX':
-            config.floatX = floatX_backup
-
 def test_gpualloc():
     '''
     This tests tries to catch the scenario when, due to infer_shape,