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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.
# ==============================================================================
"""Error traceback rewriting integration tests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python import autograph as ag
class ErrorsTest(tf.test.TestCase):
def test_graph_construction_error_rewriting_call_tree(self):
def test_fn():
return tf.random_normal((2, 3), mean=0.0, dtype=tf.int32)
def inner_caller():
return test_fn()
def caller():
return inner_caller()
with self.assertRaises(ag.GraphConstructionError) as error:
graph = ag.to_graph(caller)
graph()
expected = error.exception
custom_traceback = expected.custom_traceback
found_correct_filename = False
num_test_fn_names = 0
num_inner_caller_names = 0
num_caller_names = 0
for frame in custom_traceback:
filename, _, fn_name, _ = frame
self.assertFalse('/tmp/' in filename)
found_correct_filename |= __file__ in filename
self.assertNotEqual('tf__test_fn', fn_name)
num_test_fn_names += int('test_fn' == fn_name)
self.assertNotEqual('tf__inner_caller', fn_name)
num_inner_caller_names += int('inner_caller' == fn_name)
self.assertNotEqual('tf__caller', fn_name)
num_caller_names += int('caller' == fn_name)
self.assertTrue(found_correct_filename)
self.assertEqual(num_test_fn_names, 1)
self.assertEqual(num_inner_caller_names, 1)
self.assertEqual(num_caller_names, 1)
def test_graph_construction_error_rewriting_class(self):
class TestClass(object):
def test_fn(self):
return tf.random_normal((2, 3), mean=0.0, dtype=tf.int32)
def inner_caller(self):
return self.test_fn()
def caller(self):
return self.inner_caller()
# Note we expect a TypeError here because the traceback will not be
# rewritten for classes.
with self.assertRaises(TypeError):
graph = ag.to_graph(TestClass)
graph().caller()
def test_runtime_error_rewriting(self):
def g(x, s):
while tf.reduce_sum(x) > s:
x //= 0
return x
def test_fn(x):
return g(x, 10)
compiled_fn = ag.to_graph(test_fn)
with self.assertRaises(ag.TfRuntimeError) as error:
with self.cached_session() as sess:
x = compiled_fn(tf.constant([4, 8]))
with ag.improved_errors(compiled_fn):
sess.run(x)
expected = error.exception
custom_traceback = expected.custom_traceback
found_correct_filename = False
num_test_fn_frames = 0
num_g_frames = 0
for frame in custom_traceback:
filename, _, fn_name, source_code = frame
self.assertFalse('/tmp/' in filename)
self.assertFalse('control_flow.py' in filename)
self.assertFalse('ag__.' in fn_name)
found_correct_filename |= __file__ in filename
num_test_fn_frames += int('test_fn' == fn_name and
'return g(x, 10)' in source_code)
num_g_frames += int('g' == fn_name and 'x //= 0' in source_code)
self.assertTrue(found_correct_filename)
self.assertEqual(num_test_fn_frames, 1)
self.assertEqual(num_g_frames, 1)
def test_runtime_error_rewriting_nested(self):
def test_fn(x):
def g(y):
return y**2 // 0
s = 0
for xi in x:
s += g(xi)
return s
compiled_fn = ag.to_graph(test_fn)
# TODO(b/111408261): Nested functions currently do not rewrite correctly,
# when they do we should change this test to check for the same traceback
# properties as the other tests. This should throw a runtime error with a
# frame with "g" as the function name but because we don't yet add
# try/except blocks to inner functions the name is "tf__g".
with self.assertRaises(ag.TfRuntimeError) as error:
with self.cached_session() as sess:
x = compiled_fn(tf.constant([4, 8]))
with ag.improved_errors(compiled_fn):
sess.run(x)
expected = error.exception
custom_traceback = expected.custom_traceback
num_tf_g_frames = 0
for frame in custom_traceback:
_, _, fn_name, _ = frame
self.assertNotEqual('g', fn_name)
num_tf_g_frames += int('tf__g' == fn_name)
self.assertEqual(num_tf_g_frames, 1)
if __name__ == '__main__':
tf.test.main()
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