remove print in tests.

theano/compile/tests/test_debugmode.py

@@ -13,7 +13,7 @@ import unittest
 def test0():
     x = theano.tensor.dvector()
     f = theano.function([x], ((2. * x) + 7) / 2., mode=debugmode.DebugMode())
-    print f([1, 2])
+    f([1, 2])
 
 
 class BROKEN_ON_PURPOSE_Add(gof.Op):
@@ -671,8 +671,8 @@ class Test_preallocated_output(unittest.TestCase):
 
             f = theano.function([a, b], out, mode='DEBUG_MODE')
             out_val = f(a_val, b_val)
-            print 'out_val =', out_val
-            print out_val.strides
+            #print 'out_val =', out_val
+            #print out_val.strides
 
             # Should work for now (0.4.0), because the C thunk does not care
             # at all of what is in storage_map initially.
@@ -682,8 +682,8 @@ class Test_preallocated_output(unittest.TestCase):
 
             f = theano.function([a, b], out, mode='DEBUG_MODE')
             out_val = f(a_val, b_val)
-            print 'out_val =', out_val
-            print out_val.strides
+            #print 'out_val =', out_val
+            #print out_val.strides
 
         finally:
             config.DebugMode.check_preallocated_output = init_conf_val

theano/compile/tests/test_function_module.py

@@ -307,7 +307,7 @@ class T_function(unittest.TestCase):
     def test_constant_output(self):
         # Test that if the output is a constant, we respect the theano memory interface
         f = theano.function([],theano.tensor.constant([4]))
-        print f.maker.env.toposort()
+        #print f.maker.env.toposort()
         out = f()
         assert (out==4).all()
         out[0]=3
@@ -318,7 +318,7 @@ class T_function(unittest.TestCase):
 
         # Test that if the output is a constant and borrow, we respect the theano memory interface
         f = theano.function([],Out(theano.tensor.constant([4]), borrow=True))
-        print f.maker.env.toposort()
+        #print f.maker.env.toposort()
         out = f()
         assert (out==4).all()
         out[0]=3
@@ -412,8 +412,8 @@ class T_picklefunction(unittest.TestCase):
         self.assertFalse(x in g.container)
         self.assertFalse(x in g.value)
         self.assertTrue(len(f.defaults) == len(g.defaults))
-        print 'f.defaults = %s' % (f.defaults, )
-        print 'g.defaults = %s' % (g.defaults, )
+        #print 'f.defaults = %s' % (f.defaults, )
+        #print 'g.defaults = %s' % (g.defaults, )
         self.assertTrue(all([f_req == g_req and f_feed == g_feed and
             f_val == g_val
             for ((f_req, f_feed, f_val), (g_req, g_feed, g_val)) in zip(

theano/compile/tests/test_inplace_opt_for_value.py

@@ -187,7 +187,7 @@ class ExampleRNN(Module):
         self.minimizer = minimizer([x, y], self.cost, self.params)
 
     def _instance_initialize(self, obj):
-        print 'INITIALIZE EXAMPLE RNN'
+        #print 'INITIALIZE EXAMPLE RNN'
         n_vis = self.n_vis
 
         rng = N.random.RandomState(unittest_tools.fetch_seed(2342))
@@ -214,7 +214,7 @@ def test_example_rnn():
     LAG = 4
     y[LAG:] = x[:-LAG, 0:n_out]
 
-    if 1:
+    if 0:
         for i, node in enumerate(rnn.minimizer.step_cost.maker.env.toposort()):
             print i, node
 
@@ -223,10 +223,7 @@ def test_example_rnn():
         niter=30
 
     for i in xrange(niter):
-        if i % 100 == 0:
-            print i, rnn.minimizer.step_cost(x, y), rnn.minimizer.stepsize
-        else:
-            rnn.minimizer.step_cost(x, y)
+        rnn.minimizer.step_cost(x, y)
     if theano.config.mode=='DEBUG_MODE':
         assert rnn.minimizer.step_cost(x,y) < -.9 #it starts around -.28
     else:
@@ -258,7 +255,7 @@ def test_WEIRD_STUFF():
 #    rnn2 = rnn_module1.make(mode=Mode('c|py', 'fast_run').excluding("inplace_opt"))#work
 #    rnn2 = rnn_module1.make(mode=Mode('py', 'fast_run'))#fail
     m = Mode('py', 'fast_run')
-    for n in m.optimizer: print n.name
+#    for n in m.optimizer: print n.name
 
     if 0:
         topo1=rnn1.minimizer.step_cost.maker.env.toposort()
@@ -266,7 +263,7 @@ def test_WEIRD_STUFF():
         for i in range(len(topo1)):
             print '1',i, topo1[i]
             print '2',i, topo2[i]
-    if 1:
+    if 0:
         topo1=rnn1.minimizer.step.maker.env.toposort()
         topo2=rnn2.minimizer.step.maker.env.toposort()
         for i in range(len(topo1)):
@@ -274,10 +271,10 @@ def test_WEIRD_STUFF():
             print '2',i, topo2[i]
     import theano.printing
 
-    print len(rnn1.minimizer.step.maker.inputs)
-    print len(rnn2.minimizer.step.maker.inputs)
-    print rnn1.minimizer.step.maker.inputs
-    print rnn2.minimizer.step.maker.inputs
+    #print len(rnn1.minimizer.step.maker.inputs)
+    #print len(rnn2.minimizer.step.maker.inputs)
+    #print rnn1.minimizer.step.maker.inputs
+    #print rnn2.minimizer.step.maker.inputs
 
 
 
@@ -293,15 +290,15 @@ def test_WEIRD_STUFF():
 
     niter=3
     for i in xrange(niter):
-        print rnn1.minimizer.step_cost(x, y)
-        print rnn2.minimizer.step_cost(x, y)
+        #print rnn1.minimizer.step_cost(x, y)
+        #print rnn2.minimizer.step_cost(x, y)
 
     #    assert rnn1.n_vis != rnn2.n_vis or slef.n_hid != rnn2.n_hid or rnn1.n_out != rnn2.n_out
         assert (N.abs(rnn1.z0-rnn2.z0)<1e-8).all()
-        print (N.abs(rnn1.w-rnn2.w)<1e-8).all()
-        print (N.abs(rnn1.w-rnn2.w))
-        print rnn1.w
-        print rnn2.w
+        #print (N.abs(rnn1.w-rnn2.w)<1e-8).all()
+        #print (N.abs(rnn1.w-rnn2.w))
+        #print rnn1.w
+        #print rnn2.w
         assert (N.abs(rnn1.w-rnn2.w)<1e-8).all()
 
     #    assert b

theano/compile/tests/test_modes.py

@@ -32,7 +32,7 @@ class T_bunch_of_modes(unittest.TestCase):
             # test that it runs something
             f([[1, 2], [3, 4]], [5, 6])
             linker_classes_involved.append(f.maker.mode.linker.__class__)
-            print 'MODE:', mode, f.maker.mode.linker, 'stop'
+#            print 'MODE:', mode, f.maker.mode.linker, 'stop'
         # regression check:
         # there should be
         # - VM_Linker

theano/gof/tests/test_vm.py

@@ -74,10 +74,10 @@ def test_speed():
 
         numpy_version(x, steps_a)
         t0 = time.time()
-        print numpy_version(x, steps_a)
+        #print numpy_version(x, steps_a)
         t1 = time.time()
         t2 = time.time()
-        print numpy_version(x, steps_b)
+        #print numpy_version(x, steps_b)
         t3 = time.time()
         t_a = t1 - t0
         t_b = t3 - t2
@@ -103,15 +103,15 @@ def test_speed():
                 #profile='f_b speed test %s'%name,
                 )
 
-        print f_a([2.0, 3.0])
+        f_a([2.0, 3.0])
         t0 = time.time()
-        print f_a([2.0, 3.0])
+        f_a([2.0, 3.0])
         t1 = time.time()
 
-        print f_b([2.0, 3.0])
+        f_b([2.0, 3.0])
 
         t2 = time.time()
-        print f_b([2.0, 3.0])
+        f_b([2.0, 3.0])
         t3 = time.time()
 
         t_a = t1 - t0
@@ -155,15 +155,15 @@ def test_speed_lazy():
                 #profile='f_b lazy ifelse %s'%name,
                 )
 
-        print f_a([2.0])
+        f_a([2.0])
         t0 = time.time()
-        print f_a([2.0])
+        f_a([2.0])
         t1 = time.time()
 
-        print f_b([2.0])
+        f_b([2.0])
 
         t2 = time.time()
-        print f_b([2.0])
+        f_b([2.0])
         t3 = time.time()
 
         t_a = t1 - t0