STT-tensorflow/tf/tensorflow/python/autograph/converters/directives_test.py
Mihai Maruseac 06923bb4fe initial
2021-01-21 09:06:36 -08:00

138 lines
4.0 KiB
Python

# 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 directives module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.autograph.converters import directives as directives_converter
from tensorflow.python.autograph.core import converter_testing
from tensorflow.python.autograph.lang import directives
from tensorflow.python.autograph.pyct import anno
from tensorflow.python.platform import test
class DirectivesTest(converter_testing.TestCase):
def test_local_target(self):
def f():
l = []
string_var = 0
directives.set_element_type(l, 'a', string_var)
_, node, _ = self.transform(f, directives_converter, include_ast=True)
def_, = anno.getanno(node.body[0].targets[0],
anno.Static.DEFINITIONS)
d = def_.directives[directives.set_element_type]
self.assertEqual(d['dtype'].value, 'a')
self.assertEqual(d['shape'].id, 'string_var')
def test_argument_target(self):
def f(a):
directives.set_element_type(a, 1, shape=2)
pass
_, node, _ = self.transform(f, directives_converter, include_ast=True)
def_, = anno.getanno(node.args.args[0], anno.Static.DEFINITIONS)
d = def_.directives[directives.set_element_type]
self.assertEqual(d['dtype'].value, 1)
self.assertEqual(d['shape'].value, 2)
def test_loop_target(self):
def f():
a = True
while True:
directives.set_loop_options(parallel_iterations=10, back_prop=a)
pass
_, node, _ = self.transform(f, directives_converter, include_ast=True)
d = anno.getanno(node.body[1], anno.Basic.DIRECTIVES)
d = d[directives.set_loop_options]
self.assertEqual(d['parallel_iterations'].value, 10)
self.assertEqual(d['back_prop'].id, 'a')
self.assertNotIn('swap_memory', d)
def test_loop_target_no_loop(self):
def f():
directives.set_loop_options()
pass
with self.assertRaisesRegex(ValueError, 'must be used inside a statement'):
self.transform(f, directives_converter, include_ast=True)
def test_loop_target_not_first(self):
def f():
a = 1
while True:
a = 2
directives.set_loop_options(parallel_iterations=10, back_prop=a)
with self.assertRaisesRegex(ValueError, 'must be the first statement'):
self.transform(f, directives_converter, include_ast=True)
def test_value_verification_does_not_trigger_properties(self):
self_test = self
class TestClass(object):
@property
def b(self):
self_test.fail('This should never be evaluated')
tc = TestClass()
def f():
return tc.b + 1
_, node, _ = self.transform(f, directives_converter, include_ast=True)
self.assertIsNotNone(node)
def test_value_verification_does_not_trigger_getattr(self):
class TestClass(object):
def __init__(self):
self.getattr_called = False
def __getattr__(self, _):
# Note: seems that any exception raised here is absorbed by hasattr.
# So we can't call test.fail or raise.
self.getattr_called = True
tc = TestClass()
def f():
return tc.b + 1
_, node, _ = self.transform(f, directives_converter, include_ast=True)
self.assertIsNotNone(node)
self.assertFalse(tc.getattr_called)
if __name__ == '__main__':
test.main()