Remove other config variables from the config md5 used by cmodule

theano/compile/mode.py

@@ -10,13 +10,16 @@ _logger = logging.getLogger('theano.compile.mode')
 
 AddConfigVar('optimizer_excluding',
         "When using the default mode, we will remove optimizer with that tag. Separate many tags with ':'.",
-        StrParam("", allow_override=False))
+        StrParam("", allow_override=False),
+        in_c_key=False)
 AddConfigVar('optimizer_including',
         "When using the default mode, we will add optimizer with that tag. Separate many tags with ':'.",
-        StrParam("", allow_override=False))
+        StrParam("", allow_override=False),
+        in_c_key=False)
 AddConfigVar('optimizer_requiring',
         "When using the default mode, we will require optimizer with that tag. Separate many tags with ':'.",
-        StrParam("", allow_override=False))
+        StrParam("", allow_override=False),
+        in_c_key=False)
 
 def check_equal(x, y):
     """

theano/compile/profilemode.py

@@ -12,20 +12,24 @@ import_time = time.time()
 
 AddConfigVar('ProfileMode.n_apply_to_print',
         "Number of apply instances to print by default",
-        IntParam(15, lambda i: i > 0))
+        IntParam(15, lambda i: i > 0),
+        in_c_key=False)
 
 AddConfigVar('ProfileMode.n_ops_to_print',
         "Number of ops to print by default",
-        IntParam(20, lambda i: i > 0))
+        IntParam(20, lambda i: i > 0),
+        in_c_key=False)
 
 AddConfigVar('ProfileMode.min_memory_size',
              """For the memory profile, do not print apply nodes if the size
  of their outputs (in bytes) is lower then this threshold""",
-        IntParam(1024, lambda i: i >= 0))
+        IntParam(1024, lambda i: i >= 0),
+        in_c_key=False)
 
 AddConfigVar('ProfileMode.profile_memory',
              """Enable profiling of memory used by Theano functions""",
-        BoolParam(False))
+        BoolParam(False),
+        in_c_key=False)
 
 class Profile_Maker(FunctionMaker):
     def create(self, input_storage=None, trustme=False):

theano/compile/sharedvalue.py

@@ -26,7 +26,8 @@ AddConfigVar('shared.value_borrows',
             " variables, but use the .get_value() and .set_value() methods."
             " False: shared variables 'value' property is guaranteed to not"
             " alias theano-managed memory. True: no guarantee, but faster."),
-        BoolParam(True))
+        BoolParam(True),
+        in_c_key=False)
 
 class SharedVariable(Variable):
     """

theano/configdefaults.py

@@ -32,7 +32,7 @@ AddConfigVar('int_division',
         "What to do when one computes x / y, where both x and y are of "
         "integer types",
         EnumStr('int', 'raise', 'floatX'),
-        )
+        in_c_key=False)
 
 #gpu mean let the driver select the gpu. Needed in case of gpu in exclusive mode.
 #gpuX mean use the gpu number X.
@@ -136,7 +136,8 @@ AddConfigVar('lib.amdlibm',
 
 AddConfigVar('op.set_flops',
         "currently used only in ConvOp. The profile mode will print the flops/s for the op.",
-        BoolParam(False))
+        BoolParam(False),
+        in_c_key=False)
 
 AddConfigVar('nvcc.fastmath',
         "",
@@ -148,7 +149,8 @@ AddConfigVar('gpuelemwise.sync',
 
 AddConfigVar('traceback.limit',
              "The number of stack to trace. -1 mean all.",
-             IntParam(5))
+             IntParam(5),
+             in_c_key=False)
 
 AddConfigVar('experimental.mrg',
              "Another random number generator that work on the gpu",

theano/gof/opt.py

@@ -26,7 +26,8 @@ _logger = logging.getLogger('theano.gof.opt')
 
 AddConfigVar('time_seq_optimizer',
         "Should SeqOptimizer print the time taked by each of its optimizer",
-        BoolParam(False))
+        BoolParam(False),
+        in_c_key=False)
 
 from theano.gof import deque
 import destroyhandler as dh

theano/gof/optdb.py

@@ -10,8 +10,8 @@ from theano.configparser import TheanoConfigParser, AddConfigVar, FloatParam
 from theano import config
 AddConfigVar('optdb.position_cutoff',
         'Where to stop eariler during optimization. It represent the position of the optimizer where to stop.',
-        FloatParam(float('inf'))
-        )
+        FloatParam(float('inf')),
+        in_c_key=False)
 
 class DB(object):
     def __hash__(self):

theano/tensor/opt.py

@@ -104,7 +104,8 @@ def broadcast_like(value, template, env, dtype=None):
 
 theano.configparser.AddConfigVar('tensor.insert_inplace_optimizer_validate_nb',
         "-1: auto, if graph have less then 500 nodes 1, else 10",
-        theano.configparser.IntParam(-1))
+        theano.configparser.IntParam(-1),
+        in_c_key=False)
 
 def insert_inplace_optimizer_op(OP):
     """
@@ -1103,12 +1104,12 @@ def local_alloc_elemwise(node):
 theano.configparser.AddConfigVar('experimental.local_alloc_elemwise',
         "If True enable the experimental optimization local_alloc_elemwise",
         theano.configparser.BoolParam(False),
-        )
+        in_c_key=False)
 #This version if faster but not as save.
 theano.configparser.AddConfigVar('experimental.local_alloc_elemwise_assert',
         "If False enable the experimental optimization local_alloc_elemwise but WITHOUT assert into the graph!",
         theano.configparser.BoolParam(True),
-        )
+        in_c_key=False)
 if theano.config.experimental.local_alloc_elemwise:
     #enabled by default when the lifter of assert is done.
     register_specialize(local_alloc_elemwise)