Add Theano flag traceback.compile_limit

doc/library/config.txt

@@ -959,3 +959,16 @@ import theano and print the config variable, as in:
     Bool value, default: False
 
     If set to True, will preload the C module cache at import time
+
+.. attribute:: config.traceback.limit
+
+    Int value, default: 8
+
+    The number of user stack level to keep for variables.
+
+.. attribute:: config.traceback.compile_limit
+
+    Bool value, default: 0
+
+    The number of user stack level to keep for variables during Theano
+    compilation.

theano/compile/function_module.py

@@ -1492,7 +1492,7 @@ class FunctionMaker(object):
                 # optimize the fgraph
                 theano.config.compute_test_value = \
                     theano.config.compute_test_value_opt
-                theano.config.traceback.limit = 0
+                theano.config.traceback.limit = theano.config.traceback.compile_limit
                 start_optimizer = time.time()
 
                 # now optimize the graph
@@ -1683,7 +1683,7 @@ class FunctionMaker(object):
         start_import_time = theano.gof.cmodule.import_time
         limit_orig = theano.config.traceback.limit
         try:
-            theano.config.traceback.limit = 0
+            theano.config.traceback.limit = theano.config.traceback.compile_limit
             _fn, _i, _o = self.linker.make_thunk(
                 input_storage=input_storage_lists, storage_map=storage_map)
         finally:

theano/configdefaults.py

@@ -572,6 +572,16 @@ AddConfigVar(
     IntParam(8),
     in_c_key=False)
 
+AddConfigVar(
+    'traceback.compile_limit',
+    "The number of stack to trace to keep during compilation. -1 mean all.",
+    IntParam(0),
+    in_c_key=False)
+
+AddConfigVar('experimental.mrg',
+             "Another random number generator that work on the gpu",
+             BoolParam(False))
+
 AddConfigVar('experimental.unpickle_gpu_on_cpu',
              "Allow unpickling of pickled CudaNdarrays as numpy.ndarrays."
              "This is useful, if you want to open a CudaNdarray without "