Change the values for config.compute_test_value to be all strings

theano/configdefaults.py

@@ -202,7 +202,5 @@ AddConfigVar('warn.sum_div_dimshuffle_bug',
              BoolParam(default_0_3))
 
 AddConfigVar('compute_test_value',
-        "If True, Theano will run each op at graph build time, using Constants, SharedVariables and the tag 'test_value' as inputs to the function. This helps the user track down problems in the graph before it gets optimized.",
-        EnumStr(False, True, 'warn', 'err'))
-
-
+        "If 'True', Theano will run each op at graph build time, using Constants, SharedVariables and the tag 'test_value' as inputs to the function. This helps the user track down problems in the graph before it gets optimized.",
+        EnumStr('False', 'True', 'warn', 'err'))

theano/gof/op.py

@@ -324,7 +324,7 @@ class PureOp(object):
         node = self.make_node(*inputs, **kwargs)
         self.add_tag_trace(node)
 
-        if config.compute_test_value:
+        if config.compute_test_value != 'False':
             # avoid circular import
             from theano.compile.sharedvalue import SharedVariable
             run_perform = True

theano/gof/tests/test_compute_test_value.py

@@ -11,7 +11,7 @@ class TestComputeTestValue(unittest.TestCase):
     def test_variable_only(self):
         orig_compute_test_value = theano.config.compute_test_value
         try:
-            theano.config.compute_test_value = True
+            theano.config.compute_test_value = 'True'
 
             x = T.matrix('x')
             x.tag.test_value = numpy.random.rand(3,4)
@@ -40,7 +40,7 @@ class TestComputeTestValue(unittest.TestCase):
             y.tag.test_value = numpy.random.rand(4,5)
 
             # should skip computation of test value
-            theano.config.compute_test_value = False
+            theano.config.compute_test_value = 'False'
             z = T.dot(x,y)
             assert not hasattr(z.tag, 'test_value')
 
@@ -55,7 +55,7 @@ class TestComputeTestValue(unittest.TestCase):
     def test_string_var(self):
         orig_compute_test_value = theano.config.compute_test_value
         try:
-            theano.config.compute_test_value = True
+            theano.config.compute_test_value = 'True'
 
             x = T.matrix('x')
             x.tag.test_value = numpy.random.rand(3,4)
@@ -84,7 +84,7 @@ class TestComputeTestValue(unittest.TestCase):
     def test_shared(self):
         orig_compute_test_value = theano.config.compute_test_value
         try:
-            theano.config.compute_test_value = True
+            theano.config.compute_test_value = 'True'
 
             x = T.matrix('x')
             x.tag.test_value = numpy.random.rand(3,4)
@@ -105,7 +105,7 @@ class TestComputeTestValue(unittest.TestCase):
     def test_ndarray(self):
         orig_compute_test_value = theano.config.compute_test_value
         try:
-            theano.config.compute_test_value = True
+            theano.config.compute_test_value = 'True'
 
             x = numpy.random.rand(2,3)
             y = theano.shared(numpy.random.rand(3,6), 'y')
@@ -125,7 +125,7 @@ class TestComputeTestValue(unittest.TestCase):
     def test_constant(self):
         orig_compute_test_value = theano.config.compute_test_value
         try:
-            theano.config.compute_test_value = True
+            theano.config.compute_test_value = 'True'
 
             x = T.constant(numpy.random.rand(2,3))
             y = theano.shared(numpy.random.rand(3,6), 'y')