def test_sanity_check(self): mySymbolicMatricesList = TypedListType( T.TensorType(theano.config.floatX, (False, False)))() z = Reverse()(mySymbolicMatricesList) f = theano.function([mySymbolicMatricesList], z) x = rand_ranged_matrix(-1000, 1000, [100, 101]) y = rand_ranged_matrix(-1000, 1000, [100, 101]) self.assertTrue(numpy.array_equal(f([x, y]), [y, x]))
def test_inplace(self): mySymbolicMatricesList = TypedListType( T.TensorType(theano.config.floatX, (False, False)))() z = Reverse(True)(mySymbolicMatricesList) f = theano.function([mySymbolicMatricesList], z, accept_inplace=True) x = rand_ranged_matrix(-1000, 1000, [100, 101]) y = rand_ranged_matrix(-1000, 1000, [100, 101]) self.assertTrue(np.array_equal(f([x, y]), [y, x]))
def test_reverse_inplace(self): mySymbolicMatricesList = TypedListType(T.TensorType( theano.config.floatX, (False, False)))() z = Reverse()(mySymbolicMatricesList) m = theano.compile.mode.get_default_mode().including("typed_list_inplace_opt") f = theano.function([In(mySymbolicMatricesList, borrow=True, mutable=True)], z, accept_inplace=True, mode=m) self.assertTrue(f.maker.fgraph.toposort()[0].op.inplace) x = rand_ranged_matrix(-1000, 1000, [100, 101]) y = rand_ranged_matrix(-1000, 1000, [100, 101]) self.assertTrue(numpy.array_equal(f([x, y]), [y, x]))