def test_append_tensorarray(self):
l = tensor_array_ops.TensorArray(dtypes.int32, size=0, dynamic_size=True)
l1 = data_structures.list_append(l, 1)
l2 = data_structures.list_append(l1, 2)
with self.test_session() as sess:
self.assertAllEqual(sess.run(l1.stack()), [1])
self.assertAllEqual(sess.run(l2.stack()), [1, 2])
def test_append_tensorarray(self):
l = tensor_array_ops.TensorArray(dtypes.int32,
size=0,
dynamic_size=True)
l1 = data_structures.list_append(l, 1)
l2 = data_structures.list_append(l1, 2)
with self.test_session() as sess:
self.assertAllEqual(sess.run(l1.stack()), [1])
self.assertAllEqual(sess.run(l2.stack()), [1, 2])
def test_append_tensor_list(self):
l = data_structures.new_list()
x = constant_op.constant([1, 2, 3])
l = data_structures.list_append(l, x)
t = list_ops.tensor_list_stack(l, element_dtype=x.dtype)
with self.test_session() as sess:
self.assertAllEqual(sess.run(t), [[1, 2, 3]])
def test_append_tensor_list(self):
l = data_structures.new_list()
x = constant_op.constant([1, 2, 3])
l = data_structures.list_append(l, x)
t = list_ops.tensor_list_stack(l, element_dtype=x.dtype)
with self.test_session() as sess:
self.assertAllEqual(sess.run(t), [[1, 2, 3]])
def test_append_python(self):
l = []
self.assertAllEqual(data_structures.list_append(l, 1), [1])
self.assertAllEqual(data_structures.list_append(l, 2), [1, 2])
def test_append_python(self): l = [] self.assertAllEqual(data_structures.list_append(l, 1), [1]) self.assertAllEqual(data_structures.list_append(l, 2), [1, 2])