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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 conversion module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gast
from tensorflow.contrib.autograph import utils
from tensorflow.contrib.autograph.core import config
from tensorflow.contrib.autograph.core import converter
from tensorflow.contrib.autograph.impl import api
from tensorflow.contrib.autograph.impl import conversion
from tensorflow.python.framework import constant_op
from tensorflow.python.keras.engine import training
from tensorflow.python.platform import test
class ConversionTest(test.TestCase):
def _simple_program_ctx(self):
return converter.ProgramContext(
recursive=True,
autograph_decorators=(),
partial_types=(),
autograph_module=api,
uncompiled_modules=config.DEFAULT_UNCOMPILED_MODULES)
def test_is_whitelisted_for_graph(self):
def test_fn():
return constant_op.constant(1)
self.assertFalse(conversion.is_whitelisted_for_graph(test_fn))
self.assertTrue(conversion.is_whitelisted_for_graph(utils))
self.assertTrue(conversion.is_whitelisted_for_graph(constant_op.constant))
def test_entity_to_graph_unsupported_types(self):
with self.assertRaises(ValueError):
program_ctx = self._simple_program_ctx()
conversion.entity_to_graph('dummy', program_ctx, None, None)
def test_entity_to_graph_callable(self):
b = 2
def f(a):
return a + b
program_ctx = self._simple_program_ctx()
ast, name, ns = conversion.entity_to_graph(f, program_ctx, None, None)
self.assertTrue(isinstance(ast, gast.FunctionDef), ast)
self.assertEqual('tf__f', name)
self.assertTrue(ns['b'] is b)
def test_entity_to_graph_call_tree(self):
def g(a):
return a
def f(a):
return g(a)
program_ctx = self._simple_program_ctx()
conversion.entity_to_graph(f, program_ctx, None, None)
self.assertTrue(f in program_ctx.dependency_cache)
self.assertTrue(g in program_ctx.dependency_cache)
self.assertEqual('tf__f', program_ctx.dependency_cache[f].name)
# need the extra .body[0] in order to step past the with tf.name_scope('f')
# that is added automatically
self.assertEqual(
'tf__g', program_ctx.dependency_cache[f].body[0].body[0].value.func.id)
self.assertEqual('tf__g', program_ctx.dependency_cache[g].name)
def test_entity_to_graph_class_hierarchy(self):
class TestBase(object):
def __init__(self, x='base'):
self.x = x
def foo(self):
return self.x
def bar(self):
return self.x
class TestSubclass(TestBase):
def __init__(self, y):
super(TestSubclass, self).__init__('sub')
self.y = y
def foo(self):
return self.y
def baz(self):
return self.y
program_ctx = self._simple_program_ctx()
conversion.entity_to_graph(TestSubclass, program_ctx, None, None)
self.assertTrue(TestBase in program_ctx.dependency_cache)
self.assertTrue(TestSubclass in program_ctx.dependency_cache)
self.assertEqual('TfTestBase',
program_ctx.dependency_cache[TestBase].body[-1].name)
self.assertEqual('TfTestSubclass',
program_ctx.dependency_cache[TestSubclass].body[-1].name)
def test_entity_to_graph_class_hierarchy_whitelisted(self):
class TestSubclass(training.Model):
def __init__(self, y):
super(TestSubclass, self).__init__()
self.built = False
def call(self, x):
return 3 * x
program_ctx = self._simple_program_ctx()
conversion.entity_to_graph(TestSubclass, program_ctx, None, None)
self.assertTrue(TestSubclass in program_ctx.dependency_cache)
self.assertFalse(training.Model in program_ctx.dependency_cache)
self.assertEqual(
'Model',
program_ctx.dependency_cache[TestSubclass].body[0].names[0].name)
self.assertEqual('TfTestSubclass',
program_ctx.dependency_cache[TestSubclass].body[-1].name)
def test_entity_to_graph_lambda(self):
f = lambda a: a
with self.assertRaises(NotImplementedError):
program_ctx = self._simple_program_ctx()
conversion.entity_to_graph(f, program_ctx, None, None)
def test_ag_module_cached(self):
def callee():
return range(3)
def caller(a):
return a()
program_ctx = self._simple_program_ctx()
_, _, callee_ns = conversion.entity_to_graph(callee, program_ctx, None,
None)
_, _, caller_ns = conversion.entity_to_graph(caller, program_ctx, None,
None)
self.assertTrue(callee_ns['ag__'] is caller_ns['ag__'])
if __name__ == '__main__':
test.main()
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