Remove time_eq_optimizer flags that was not release

doc/library/config.txt

@@ -581,29 +581,6 @@ import theano and print the config variable, as in:
               C. log_likelihood_h
 
 
-.. attribute:: config.time_eq_optimizer
-
-    Bool value, default: False
-
-    Should each EquilibriumOptimizer print the time taken by each of its
-    iterations, the total number of times each of its optimizers is applied,
-    and informations about the total number of nodes in the graph.
-    Here is an example of output::
-
-        EquilibriumOptimizer specialize
-         time 4.760s for 4 passes, 3801 nodes max
-        0 - 1.961s (0.079s in global opts) - 3797 nodes
-        1 - 1.233s (0.080s in global opts) - 3801 nodes
-        2 - 0.857s (0.071s in global opts) - 3203 nodes
-        3 - 0.710s (0.066s in global opts) - 3095 nodes
-
-        times applied - optimizer:
-          384 - dimshuffle_as_view
-          262 - constant_folding
-          216 - local_subtensor_make_vector
-          216 - local_shape_to_shape_i
-          4 - local_mul_specialize
-
 .. attribute:: config.cmodule.warn_no_version
 
     Bool value, default: False

theano/gof/opt.py

@@ -27,11 +27,6 @@ from theano.configparser import AddConfigVar, BoolParam
 _logger = logging.getLogger('theano.gof.opt')
 
 
-AddConfigVar('time_eq_optimizer',
-        "Should EquilibriumOptimizer print the time taken by each optimizer",
-        BoolParam(False),
-        in_c_key=False)
-
 import destroyhandler as dh
 import traceback
 
@@ -1490,29 +1485,6 @@ class EquilibriumOptimizer(NavigatorOptimizer):
                           + "%f with the theano flag 'optdb.max_use_ratio'." %
                           config.optdb.max_use_ratio)
 
-        if config.time_eq_optimizer:
-            print "EquilibriumOptimizer",
-            print getattr(self, "name", getattr(self, "__name__", ""))
-            print " time %.3fs for %d passes, %d nodes max" % (
-                    sum(loop_timing), len(loop_timing), max_nb_nodes)
-
-            for i in range(len(loop_timing)):
-                print '%d - %.3fs (%.3fs in global opts) - %d nodes' % (
-                        i, loop_timing[i], global_opt_timing[i], nb_nodes[i])
-            print
-
-            count_opt = []
-            for opt, count in process_count.iteritems():
-                if count > 0:
-                    count_opt.append((count, opt))
-
-            if count_opt:
-                print 'times applied - optimizer:'
-                count_opt.sort()
-                for (count, opt) in count_opt[::-1]:
-                    print '  %d - %s' % (count, opt)
-                print
-
         return (self, loop_timing, process_count, max_nb_nodes,
                 global_opt_timing, nb_nodes, time_lopts, io_toposort_timing)