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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 call_trees module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.contrib.autograph.converters import call_trees
from tensorflow.contrib.autograph.core import converter_testing
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class CallTreesTest(converter_testing.TestCase):
def test_basic(self):
def test_fn_1(_):
raise ValueError('This should not be called in the compiled version.')
def renamed_test_fn_1(a):
return a + 1
def test_fn_2(a):
return test_fn_1(a) + 1
node = self.parse_and_analyze(test_fn_2, {'test_fn_1': test_fn_1})
node = call_trees.transform(node, self.ctx)
with self.compiled(node) as result:
# Only test_fn_2 is transformed, so we'll insert renamed_test_fn_1
# manually.
result.renamed_test_fn_1 = renamed_test_fn_1
self.assertEquals(3, result.test_fn_2(1))
def test_dynamic_function(self):
def test_fn_1():
raise ValueError('This should be masked by the mock.')
def test_fn_2(f):
return f() + 3
node = self.parse_and_analyze(test_fn_2, {})
node = call_trees.transform(node, self.ctx)
with self.compiled(node) as result:
# 10 = 7 (from the mock) + 3 (from test_fn_2)
self.assertEquals(10, result.test_fn_2(test_fn_1))
def test_simple_methods(self):
class TestClass(object):
def test_fn_1(self, a):
return a + 1
def test_fn_2(self, a):
return self.test_fn_1(a) + 1
node = self.parse_and_analyze(
TestClass.test_fn_2, {'TestClass': TestClass},
namer=converter_testing.FakeNoRenameNamer(),
arg_types={'self': (TestClass.__name__, TestClass)})
node = call_trees.transform(node, self.ctx)
with self.compiled(node) as result:
tc = TestClass()
self.assertEquals(3, result.test_fn_2(tc, 1))
def test_py_func_wrap_no_retval(self):
def test_fn(a):
setattr(a, 'foo', 'bar')
node = self.parse_and_analyze(test_fn, {'setattr': setattr})
node = call_trees.transform(node, self.ctx)
with self.compiled(node) as result:
with self.test_session() as sess:
# The function has no return value, so we do some tricks to grab the
# generated py_func node and ensure its effect only happens at graph
# execution.
class Dummy(object):
pass
a = Dummy()
result.test_fn(a)
self.assertFalse(hasattr(a, 'foo'))
sess.run(sess.graph.get_operations()[0])
self.assertEquals('bar', a.foo)
def test_py_func_wrap_known_function(self):
def test_fn():
return np.random.binomial(2, 0.5)
node = self.parse_and_analyze(test_fn, {'np': np})
node = call_trees.transform(node, self.ctx)
with self.compiled(node, dtypes.int64) as result:
result.np = np
with self.test_session() as sess:
self.assertTrue(isinstance(result.test_fn(), ops.Tensor))
self.assertIn(sess.run(result.test_fn()), (0, 1, 2))
def test_uncompiled_modules(self):
def test_fn(a):
a = math_ops.multiply(a, constant_op.constant(2))
a = math_ops.add(a, constant_op.constant(1))
return a
node = self.parse_and_analyze(
test_fn, {
'math_ops': math_ops,
'constant_op': constant_op
},
arg_types=set(((math_ops.__name__,), (constant_op.__name__,))))
node = call_trees.transform(node, self.ctx)
with self.compiled(node) as result:
result.math_ops = math_ops
result.constant_op = constant_op
with self.test_session() as sess:
# Not renamed, because the converter doesn't rename the definition
# itself (the caller is responsible for that).
result_tensor = result.test_fn(constant_op.constant(1))
self.assertEquals(3, sess.run(result_tensor))
if __name__ == '__main__':
test.main()
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