Remove force fast_run mode

theano/compile/tests/test_builders.py

@@ -18,7 +18,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
     def test_straightforward(self):
         x, y, z = T.matrices('xyz')
         e = x + y * z
-        op = OpFromGraph([x, y, z], [e], mode='FAST_RUN')
+        op = OpFromGraph([x, y, z], [e])
         # (1+3*5=array of 16) - (3+1*5=array of 8)
         f = op(x, y, z) - op(y, z, x)
 
@@ -35,7 +35,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
     def test_size_changes(self):
         x, y, z = T.matrices('xyz')
         e = T.dot(x, y)
-        op = OpFromGraph([x, y], [e], mode='FAST_RUN')
+        op = OpFromGraph([x, y], [e])
         f = op(x, op(y, z))
         fn = function([x, y, z], f)
         xv = numpy.ones((2, 3), dtype=config.floatX)
@@ -51,7 +51,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
     def test_grad(self):
         x, y, z = T.matrices('xyz')
         e = x + y * z
-        op = OpFromGraph([x, y, z], [e], mode='FAST_RUN')
+        op = OpFromGraph([x, y, z], [e])
         f = op(x, y, z)
         f = f - T.grad(T.sum(f), y)
         fn = function([x, y, z], f)
@@ -63,7 +63,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
     def test_grad_grad(self):
         x, y, z = T.matrices('xyz')
         e = x + y * z
-        op = OpFromGraph([x, y, z], [e], mode='FAST_RUN')
+        op = OpFromGraph([x, y, z], [e])
         f = op(x, y, z)
         f = f - T.grad(T.sum(f), y)
         f = f - T.grad(T.sum(f), y)
@@ -77,7 +77,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
         x, y, z = T.matrices('xyz')
         s = shared(numpy.random.rand(2, 2).astype(config.floatX))
         e = x + y * z + s
-        op = OpFromGraph([x, y, z], [e], mode='FAST_RUN')
+        op = OpFromGraph([x, y, z], [e])
         # (1+3*5=array of 16) - (3+1*5=array of 8)
         f = op(x, y, z) - op(y, z, x)
 
@@ -94,7 +94,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
         x, y, z = T.matrices('xyz')
         s = shared(numpy.random.rand(2, 2).astype(config.floatX))
         e = x + y * z + s
-        op = OpFromGraph([x, y, z], [e], mode='FAST_RUN')
+        op = OpFromGraph([x, y, z], [e])
         f = op(x, y, z)
         f = f - T.grad(T.sum(f), y)
         fn = function([x, y, z], f)
@@ -116,7 +116,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
         out1 = x * y
         out2 = y * z
 
-        op1 = OpFromGraph([x ,y, z], [out1, out2], mode='FAST_RUN')
+        op1 = OpFromGraph([x ,y, z], [out1, out2])
         results = op1.connection_pattern(None)
         expect_result = [[True, False],
                          [True, True],
@@ -128,7 +128,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
         m, n, p, q = T.matrices('mnpq')
         o1, o2 = op1(m, n, p)
         out1, out2 = op1(o1, q, o2)
-        op2 = OpFromGraph([m, n, p, q], [out1, out2], mode='FAST_RUN')
+        op2 = OpFromGraph([m, n, p, q], [out1, out2])
 
         results = op2.connection_pattern(None)
         expect_result = [[True, False],
@@ -144,7 +144,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
         out1 = x + rv_u
         out2 = y + 3
         out3 = 3 + rv_u
-        op3 = OpFromGraph([x, y], [out1, out2, out3], mode='FAST_RUN')
+        op3 = OpFromGraph([x, y], [out1, out2, out3])
 
         results = op3.connection_pattern(None)
         expect_result = [[True, False, False],
@@ -155,7 +155,7 @@ class T_OpFromGraph(unittest_tools.InferShapeTester):
     def test_infer_shape(self):
         x = T.matrix('x')
         y = x+x
-        op_graph = OpFromGraph([x], [y], mode='FAST_RUN')
+        op_graph = OpFromGraph([x], [y])
         self._compile_and_check([x],
                                 [op_graph(x)],
                                 [numpy.ones([3,4], dtype=config.floatX)],