def test_find_operation_with_name_raises_if_not_found(self):
with self.assertRaises(ValueError):
all_operations.find_operation_with_name('bad name')
with self.assertRaises(ValueError):
all_operations.find_operation_with_name(
'tf.add(x, y)',
operation_list=all_operations.get_python_operations())
def test_get_python_operations(self):
operations = all_operations.get_python_operations()
self.assertTrue(
all(
isinstance(operation, operation_base.Operation)
for operation in operations))
self.assertTrue(
any(operation.name == 'IndexingOperation'
for operation in operations))
def print_supported_operations():
"""Prints all of the supported operations."""
print('TensorFlow functions:\n' '---------------------')
for operation in all_operations.get_tf_operations():
print(operation.name)
print()
print('SparseTensor functions:\n' '-----------------------')
for operation in all_operations.get_sparse_operations():
print(operation.name)
print()
print('Python-syntax operations:\n' '-------------------------')
for operation in all_operations.get_python_operations():
syntax_form = operation.reconstruct_expression_from_strings(
['arg{}'.format(i + 1) for i in range(operation.num_args)])
print('{:35} {}'.format(operation.name + ':', syntax_form))
class AllOperationsTest(parameterized.TestCase):
def test_get_python_operations(self):
operations = all_operations.get_python_operations()
self.assertTrue(
all(
isinstance(operation, operation_base.Operation)
for operation in operations))
self.assertTrue(
any(operation.name == 'IndexingOperation'
for operation in operations))
def test_get_tf_operations(self):
operations = all_operations.get_tf_operations()
self.assertLen(operations, len(tf_functions.TF_FUNCTIONS))
self.assertTrue(
any(operation.name == 'tf.add(x, y)' for operation in operations))
self.assertFalse(
any(operation.name == 'tf.sparse.add(a, b)'
for operation in operations))
def test_get_sparse_operations(self):
operations = all_operations.get_sparse_operations()
self.assertLen(operations, len(tf_functions.SPARSE_FUNCTIONS))
self.assertFalse(
any(operation.name == 'tf.add(x, y)' for operation in operations))
self.assertTrue(
any(operation.name == 'tf.sparse.add(a, b)'
for operation in operations))
def test_get_operations_correct_type(self):
operations = all_operations.get_operations(
include_sparse_operations=True)
self.assertTrue(
all(
isinstance(element, operation_base.Operation)
for element in operations))
@parameterized.named_parameters(
('with_sparse', True,
len(tf_functions.TF_FUNCTIONS) + len(tf_functions.SPARSE_FUNCTIONS) +
len(all_operations.get_python_operations())),
('without_sparse', False, len(tf_functions.TF_FUNCTIONS) +
len(all_operations.get_python_operations())))
def test_get_operations_correct_cardinality(self,
include_sparse_operations,
expected_cardinality):
operations = all_operations.get_operations(
include_sparse_operations=include_sparse_operations)
self.assertLen(operations, expected_cardinality)
@parameterized.named_parameters(
('indexing', 'IndexingOperation', False),
('slicing_axis_0_both', 'SlicingAxis0BothOperation', False),
('tf_add', 'tf.add(x, y)', False),
('tf_cast', 'tf.cast(x, dtype)', False),
('tf_sparse_expand_dims', 'tf.sparse.expand_dims(sp_input, axis)',
True))
def test_get_operations_includes_expected(self, name, is_sparse):
for include_sparse_operations in [True, False]:
operations = all_operations.get_operations(
include_sparse_operations=include_sparse_operations)
should_be_included = include_sparse_operations or not is_sparse
self.assertEqual(
any(operation.name == name for operation in operations),
should_be_included)
def test_get_operations_unique_names(self):
operations = all_operations.get_operations(
include_sparse_operations=True)
names_set = {operation.name for operation in operations}
self.assertLen(names_set, len(operations))
def test_get_operations_all_have_docstrings(self):
operations = all_operations.get_operations(
include_sparse_operations=True)
self.assertTrue(
all(operation.metadata.docstring for operation in operations))
def test_get_operations_consistent_order(self):
operations_1 = all_operations.get_operations(
include_sparse_operations=True)
operations_2 = all_operations.get_operations(
include_sparse_operations=True)
self.assertEqual([op.name for op in operations_1],
[op.name for op in operations_2])
def test_find_operation_with_name(self):
operation = all_operations.find_operation_with_name('tf.add(x, y)')
self.assertEqual(operation.name, 'tf.add(x, y)')
operation = all_operations.find_operation_with_name(
'tf.add(x, y)', operation_list=all_operations.get_tf_operations())
self.assertEqual(operation.name, 'tf.add(x, y)')
def test_find_operation_with_name_raises_if_not_found(self):
with self.assertRaises(ValueError):
all_operations.find_operation_with_name('bad name')
with self.assertRaises(ValueError):
all_operations.find_operation_with_name(
'tf.add(x, y)',
operation_list=all_operations.get_python_operations())
