Add the opt tag name inplace_elemwise_optimizer to inplace_opt as this

theano/compile/tests/test_monitormode.py

@@ -27,9 +27,9 @@ def test_detect_nan():
     assert nan_detected[0]
 
 
-def test_optimizers():
+def test_optimizer():
     """
-    Test that we can remove optimizers
+    Test that we can remove optimizer
     """
     nan_detected = [False]
 
@@ -54,3 +54,38 @@ def test_optimizers():
 
     # Test that we still detect the nan
     assert nan_detected[0]
+
+
+def test_not_inplace():
+    """
+    Test that we can remove optimizers including inplace optimizers
+    """
+    nan_detected = [False]
+
+    def detect_nan(i, node, fn):
+        for output in fn.outputs:
+            if numpy.isnan(output[0]).any():
+                print '*** NaN detected ***'
+                theano.printing.debugprint(node)
+                print 'Inputs : %s' % [input[0] for input in fn.inputs]
+                print 'Outputs: %s' % [output[0] for output in fn.outputs]
+                nan_detected[0] = True
+                break
+
+    x = theano.tensor.vector('x')
+    mode = theano.compile.MonitorMode(post_func=detect_nan)
+    #mode = mode.excluding('fusion', 'inplace')
+    mode = mode.excluding('local_elemwise_fusion',
+                          'inplace_elemwise_optimizer')
+    o = theano.tensor.outer(x, x)
+    out = theano.tensor.log(o) * o
+    f = theano.function([x], [out],
+                        mode=mode)
+
+    # Test that the fusion wasn't done
+    assert len(f.maker.fgraph.nodes) == 5
+    assert not f.maker.fgraph.toposort()[-1].op.destroy_map
+    f([0, 0])  # log(0) * 0 = -inf * 0 = NaN
+
+    # Test that we still detect the nan
+    assert nan_detected[0]

theano/tensor/opt.py

@@ -273,8 +273,8 @@ def inplace_elemwise_optimizer_op(OP):
     return inplace_elemwise_optimizer
 
 inplace_elemwise_optimizer = inplace_elemwise_optimizer_op(T.Elemwise)
-
 compile.optdb.register('inplace_opt', inplace_elemwise_optimizer, 75,
+                       'inplace_elemwise_optimizer',
                        'fast_run', 'inplace')