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# Copyright 2018 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 liveness module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.pyct import anno
from tensorflow.contrib.autograph.pyct import cfg
from tensorflow.contrib.autograph.pyct import parser
from tensorflow.contrib.autograph.pyct import qual_names
from tensorflow.contrib.autograph.pyct import transformer
from tensorflow.contrib.autograph.pyct.static_analysis import activity
from tensorflow.contrib.autograph.pyct.static_analysis import liveness
from tensorflow.python.platform import test
class LivenessTest(test.TestCase):
def _parse_and_analyze(self, test_fn):
node, source = parser.parse_entity(test_fn)
entity_info = transformer.EntityInfo(
source_code=source,
source_file=None,
namespace={},
arg_values=None,
arg_types=None,
owner_type=None)
node = qual_names.resolve(node)
node = activity.resolve(node, entity_info)
graphs = cfg.build(node)
liveness.resolve(node, entity_info, graphs)
return node
def assertHasLiveOut(self, node, expected):
live_out = anno.getanno(node, anno.Static.LIVE_VARS_OUT)
live_out_str = set(str(v) for v in live_out)
if not expected:
expected = ()
if not isinstance(expected, tuple):
expected = (expected,)
self.assertSetEqual(live_out_str, set(expected))
def test_stacked_if(self):
def test_fn(x, a):
if a > 0:
x = 0
if a > 1:
x = 1
return x
node = self._parse_and_analyze(test_fn)
fn_body = node.body[0].body
self.assertHasLiveOut(fn_body[0], ('a', 'x'))
self.assertHasLiveOut(fn_body[1], 'x')
def test_stacked_if_else(self):
def test_fn(x, a):
if a > 0:
x = 0
if a > 1:
x = 1
else:
x = 2
return x
node = self._parse_and_analyze(test_fn)
fn_body = node.body[0].body
self.assertHasLiveOut(fn_body[0], 'a')
self.assertHasLiveOut(fn_body[1], 'x')
def test_for_basic(self):
def test_fn(x, a):
for i in range(a):
x += i
return x
node = self._parse_and_analyze(test_fn)
fn_body = node.body[0].body
self.assertHasLiveOut(fn_body[0], 'x')
def test_attributes(self):
def test_fn(x, a):
if a > 0:
x.y = 0
return x.y
node = self._parse_and_analyze(test_fn)
fn_body = node.body[0].body
self.assertHasLiveOut(fn_body[0], ('x.y', 'x'))
def test_nested_functions(self):
def test_fn(a, b):
if b:
a = []
def foo():
return a
foo()
node = self._parse_and_analyze(test_fn)
fn_body = node.body[0].body
self.assertHasLiveOut(fn_body[0], 'a')
def test_nested_functions_isolation(self):
def test_fn(b):
if b:
a = 0 # pylint:disable=unused-variable
def child():
max(a) # pylint:disable=used-before-assignment
a = 1
return a
child()
node = self._parse_and_analyze(test_fn)
fn_body = node.body[0].body
self.assertHasLiveOut(fn_body[0], 'max')
if __name__ == '__main__':
test.main()
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