def test_assert_wrong_element_shape_on_unknown_shape_dataset(self):
def create_unknown_shape_dataset(x):
return script_ops.py_func(
lambda _: ( # pylint: disable=g-long-lambda
np.ones(2, dtype=np.float32),
np.zeros((3, 4), dtype=np.int32)),
[x],
[dtypes.float32, dtypes.int32])
dataset = dataset_ops.Dataset.range(3).map(create_unknown_shape_dataset)
unknown_shapes = (tensor_shape.TensorShape(None),
tensor_shape.TensorShape(None))
self.assertEqual(unknown_shapes, dataset.output_shapes)
wrong_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 10)))
iterator = (
dataset.apply(batching.assert_element_shape(wrong_shapes))
.make_initializable_iterator())
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op)
with self.assertRaises(errors.InvalidArgumentError):
sess.run(get_next)
def test_assert_wrong_partial_element_shape_on_unknown_shape_dataset(self):
def create_unknown_shape_dataset(x):
return script_ops.py_func(
lambda _: ( # pylint: disable=g-long-lambda
np.ones(2, dtype=np.float32),
np.zeros((3, 4), dtype=np.int32)),
[x],
[dtypes.float32, dtypes.int32])
dataset = dataset_ops.Dataset.range(3).map(create_unknown_shape_dataset)
unknown_shapes = (tensor_shape.TensorShape(None),
tensor_shape.TensorShape(None))
self.assertEqual(unknown_shapes, dataset.output_shapes)
wrong_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((None, 10)))
iterator = (
dataset.apply(batching.assert_element_shape(wrong_shapes))
.make_initializable_iterator())
init_op = iterator.initializer
get_next = iterator.get_next()
with self.cached_session() as sess:
sess.run(init_op)
with self.assertRaises(errors.InvalidArgumentError):
sess.run(get_next)
def test_assert_partial_element_shape(self):
def create_dataset(_):
return (array_ops.ones(2, dtype=dtypes.float32),
array_ops.zeros((3, 4), dtype=dtypes.int32))
dataset = dataset_ops.Dataset.range(5).map(create_dataset)
partial_expected_shape = (tensor_shape.TensorShape(None), # Unknown shape
tensor_shape.TensorShape((None, 4))) # Partial shape
result = dataset.apply(
batching.assert_element_shape(partial_expected_shape))
# Partial shapes are merged with actual shapes:
actual_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 4)))
self.assertEqual(actual_shapes, result.output_shapes)
iterator = result.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.cached_session() as sess:
sess.run(init_op)
for _ in range(5):
sess.run(get_next)
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def test_assert_element_shape(self):
def create_unknown_shape_dataset(x):
return script_ops.py_func(
lambda _: ( # pylint: disable=g-long-lambda
np.ones(2, dtype=np.float32),
np.zeros((3, 4), dtype=np.int32)),
[x],
[dtypes.float32, dtypes.int32])
dataset = dataset_ops.Dataset.range(5).map(create_unknown_shape_dataset)
unknown_shapes = (tensor_shape.TensorShape(None),
tensor_shape.TensorShape(None))
self.assertEqual(unknown_shapes, dataset.output_shapes)
expected_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 4)))
result = dataset.apply(batching.assert_element_shape(expected_shapes))
self.assertEqual(expected_shapes, result.output_shapes)
iterator = result.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.test_session() as sess:
sess.run(init_op)
for _ in range(5):
sess.run(get_next)
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def test_assert_element_shape(self):
def create_dataset(_):
return (array_ops.ones(2, dtype=dtypes.float32),
array_ops.zeros((3, 4), dtype=dtypes.int32))
dataset = dataset_ops.Dataset.range(5).map(create_dataset)
expected_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 4)))
self.assertEqual(expected_shapes,
dataset_ops.get_legacy_output_shapes(dataset))
result = dataset.apply(batching.assert_element_shape(expected_shapes))
self.assertEqual(expected_shapes,
dataset_ops.get_legacy_output_shapes(result))
iterator = dataset_ops.make_initializable_iterator(result)
init_op = iterator.initializer
get_next = iterator.get_next()
with self.cached_session() as sess:
sess.run(init_op)
for _ in range(5):
sess.run(get_next)
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def test_assert_partial_element_shape(self):
def create_dataset(_):
return (array_ops.ones(2, dtype=dtypes.float32),
array_ops.zeros((3, 4), dtype=dtypes.int32))
dataset = dataset_ops.Dataset.range(5).map(create_dataset)
partial_expected_shape = (
tensor_shape.TensorShape(None), # Unknown shape
tensor_shape.TensorShape((None, 4))) # Partial shape
result = dataset.apply(
batching.assert_element_shape(partial_expected_shape))
# Partial shapes are merged with actual shapes:
actual_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 4)))
self.assertEqual(actual_shapes, result.output_shapes)
iterator = result.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.cached_session() as sess:
sess.run(init_op)
for _ in range(5):
sess.run(get_next)
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def test_assert_element_shape(self):
def create_dataset(_):
return (array_ops.ones(2, dtype=dtypes.float32),
array_ops.zeros((3, 4), dtype=dtypes.int32))
dataset = dataset_ops.Dataset.range(5).map(create_dataset)
expected_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 4)))
self.assertEqual(expected_shapes,
dataset_ops.get_legacy_output_shapes(dataset))
result = dataset.apply(batching.assert_element_shape(expected_shapes))
self.assertEqual(expected_shapes,
dataset_ops.get_legacy_output_shapes(result))
iterator = result.make_initializable_iterator()
init_op = iterator.initializer
get_next = iterator.get_next()
with self.cached_session() as sess:
sess.run(init_op)
for _ in range(5):
sess.run(get_next)
with self.assertRaises(errors.OutOfRangeError):
sess.run(get_next)
def test_assert_wrong_element_shape(self):
def create_dataset(_):
return (array_ops.ones(2, dtype=dtypes.float32),
array_ops.zeros((3, 4), dtype=dtypes.int32))
dataset = dataset_ops.Dataset.range(3).map(create_dataset)
wrong_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((3, 10)))
with self.assertRaises(ValueError):
dataset.apply(batching.assert_element_shape(wrong_shapes))
def test_assert_wrong_partial_element_shape(self):
def create_dataset(_):
return (array_ops.ones(2, dtype=dtypes.float32),
array_ops.zeros((3, 4), dtype=dtypes.int32))
dataset = dataset_ops.Dataset.range(3).map(create_dataset)
wrong_shapes = (tensor_shape.TensorShape(2),
tensor_shape.TensorShape((None, 10)))
with self.assertRaises(ValueError):
dataset.apply(batching.assert_element_shape(wrong_shapes))
