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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for return_statements module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.converters import return_statements
from tensorflow.contrib.autograph.core import converter_testing
from tensorflow.python.framework import ops
from tensorflow.python.platform import test
class SingleReturnTest(converter_testing.TestCase):
def assertTransformedEquivalent(self, test_fn, *inputs):
ns = {'ops': ops}
with self.converted(test_fn, return_statements, ns) as result:
self.assertEqual(test_fn(*inputs), result.test_fn(*inputs))
def test_straightline(self):
def test_fn(x):
return x * x
self.assertTransformedEquivalent(test_fn, 2)
def test_conditional(self):
def test_fn(x):
if x > 0:
return x
else:
return x * x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def test_missing_orelse(self):
def test_fn(x):
if x > 0:
return x
node, ctx = self.prepare(test_fn, {})
with self.assertRaises(ValueError):
return_statements.transform(node, ctx)
def test_missing_orelse_recovrable(self):
def test_fn(x):
if x > 0:
return x
return x * x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def test_missing_branch_return_recoverable(self):
def test_fn(x):
if x < 0:
x *= x
else:
return x
return x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def test_conditional_nested(self):
def test_fn(x):
if x > 0:
if x < 5:
return x
else:
return x * x
else:
return x * x * x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
self.assertTransformedEquivalent(test_fn, 5)
def test_context_manager(self):
def test_fn(x):
with ops.name_scope(''):
return x * x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def test_context_manager_in_conditional(self):
def test_fn(x):
if x > 0:
with ops.name_scope(''):
return x * x
else:
return x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def text_conditional_in_context_manager(self):
def test_fn(x):
with ops.name_scope(''):
if x > 0:
return x * x
else:
return x
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def test_no_return(self):
def test_fn(x):
x *= x
self.assertTransformedEquivalent(test_fn, 2)
def test_nested_functions(self):
def test_fn(x):
def inner_fn(y):
if y > 0:
return y * y
else:
return y
return inner_fn(x)
self.assertTransformedEquivalent(test_fn, 2)
self.assertTransformedEquivalent(test_fn, -2)
def test_loop(self):
def test_fn(x):
for _ in range(10):
return x
return x
node, ctx = self.prepare(test_fn, {})
with self.assertRaises(ValueError):
return_statements.transform(node, ctx)
if __name__ == '__main__':
test.main()
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