def testFold_1(self):
with self.test_session():
elems = tf.constant([1, 2, 3, 4, 5, 6], name="data")
r = control_flow_ops.fold(lambda a, x: tf.mul(tf.add(a, x), 2), elems, [1])
result = r.eval()
self.assertTrue(check_op_order(elems.graph))
self.assertAllEqual(np.array([208]), result)
def testFold_1(self):
with self.test_session():
elems = tf.constant([1, 2, 3, 4, 5, 6], name="data")
r = control_flow_ops.fold(
lambda a, x: tf.mul(tf.add(a, x), 2), elems, [1])
result = r.eval()
self.assertTrue(check_op_order(elems.graph))
self.assertAllEqual(np.array([208]), result)
def testFold_2(self):
with self.test_session():
elems = tf.constant([1, 2, 3, 4, 5, 6], name="data")
ten = tf.convert_to_tensor(10)
def compute(a, x):
r = tf.mul(x, ten)
return tf.add(a, r)
r = control_flow_ops.fold(compute, elems, [1])
result = r.eval()
self.assertTrue(check_op_order(elems.graph))
self.assertAllEqual([201], result)
def testFold_2(self):
with self.test_session():
elems = tf.constant([1, 2, 3, 4, 5, 6], name="data")
ten = tf.convert_to_tensor(10)
def compute(a, x):
r = tf.mul(x, ten)
return tf.add(a, r)
r = control_flow_ops.fold(compute, elems, [1])
result = r.eval()
self.assertTrue(check_op_order(elems.graph))
self.assertAllEqual([201], result)