def test_list_index_python(self):
with context.eager_mode():
a = constant(3.0)
b = constant(2.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
self.assertEqual(l[0].numpy(), a.numpy())
l[0] = ops.convert_to_tensor(b)
self.assertEqual(l[0].numpy(), b.numpy())
def test_list_index_tf(self):
a = constant(3.0)
b = constant(2.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
l0 = l[0]
l[0] = b
l1 = l[0]
with self.test_session() as sess:
l0, l1, a, b = sess.run([l0, l1, a, b])
self.assertEqual(l0, a)
self.assertEqual(l1, b)
def test_list_append_python(self):
with context.eager_mode():
a = constant(3.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
self.assertEqual(l.count().numpy(), 1)
l.append(a)
self.assertEqual(l.count().numpy(), 2)
_ = l.pop()
self.assertEqual(l.count().numpy(), 1)
a2 = l.pop()
self.assertEqual(l.count().numpy(), 0)
self.assertEqual(a.numpy(), a2.numpy())
def test_list_append_tf(self):
a = constant(3.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
c1 = l.count()
l.append(a)
c2 = l.count()
_ = l.pop()
c3 = l.count()
a2 = l.pop()
c4 = l.count()
with Session() as sess:
c1, c2, c3, c4, a, a2 = sess.run([c1, c2, c3, c4, a, a2])
self.assertEqual(c1, 1)
self.assertEqual(c2, 2)
self.assertEqual(c3, 1)
self.assertEqual(c4, 0)
self.assertEqual(a, a2)
def test_dynamic_list_append(self):
l = []
l = tl.dynamic_list_append(l, 1)
self.assertListEqual(l, [1])
l = list_ops.empty_tensor_list(self._shape(()), dtypes.int32)
l = tl.dynamic_list_append(l, 1)
s = list_ops.tensor_list_stack(l, element_dtype=dtypes.int32)
with self.test_session() as sess:
self.assertAllEqual(sess.run(s), [1])
l = tensor_array_ops.TensorArray(dtypes.int32,
size=0,
dynamic_size=True)
l = tl.dynamic_list_append(l, 1)
s = l.stack()
with self.test_session() as sess:
self.assertAllEqual(sess.run(s), [1])
l = tl.TensorList(self._shape(()), dtypes.int32)
l = tl.dynamic_list_append(l, 1)
with self.test_session() as sess:
self.assertAllEqual(sess.run(l[0]), 1)