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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 errors module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.core import errors
from tensorflow.contrib.autograph.pyct import origin_info
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors as tf_errors
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test
from tensorflow.python.util import tf_inspect
def zero_div():
return array_ops.constant(10, dtype=dtypes.int32) // 0
def zero_div_caller():
a = zero_div() + 2
return a
class RuntimeErrorsTest(test.TestCase):
def setUp(self):
self._fake_origin = origin_info.OriginInfo('new file', 'new func', 96, 0,
'print("hello world!")')
def test_error_replacement(self):
_, zero_div_lineno = tf_inspect.getsourcelines(zero_div)
src_map = {
errors.CodeLocation(
file_path=__file__, line_number=zero_div_lineno + 1):
self._fake_origin
}
with self.assertRaises(errors.TfRuntimeError) as cm:
z = zero_div_caller()
zero_div_caller.ag_source_map = src_map
with errors.improved_errors(zero_div_caller):
with self.test_session() as sess:
sess.run(z)
expected = cm.exception
current_traceback = expected.custom_traceback
for frame in current_traceback:
self.assertNotEqual('zero_div', frame[2])
self.assertTrue(
any(self._fake_origin.as_frame() == frame
for frame in current_traceback))
def test_error_not_found(self):
src_map = {
errors.CodeLocation(file_path=__file__, line_number=-1):
self._fake_origin
}
with self.assertRaises(errors.TfRuntimeError) as cm:
z = zero_div_caller()
zero_div_caller.ag_source_map = src_map
with errors.improved_errors(zero_div_caller):
with self.test_session() as sess:
sess.run(z)
expected = cm.exception
current_traceback = expected.custom_traceback
self.assertTrue(any('zero_div' in frame[2] for frame in current_traceback))
for frame in current_traceback:
self.assertNotEqual(frame, self._fake_origin.as_frame())
def test_rewriting_error(self):
_, zero_div_lineno = tf_inspect.getsourcelines(zero_div)
src_map = {
errors.CodeLocation(
file_path=__file__, line_number=zero_div_lineno + 1):
None
}
with self.assertRaisesRegexp(tf_errors.InvalidArgumentError,
'Integer division by zero'):
z = zero_div_caller()
zero_div_caller.ag_source_map = src_map
with errors.improved_errors(zero_div_caller):
with self.test_session() as sess:
sess.run(z)
def test_no_ag_source_map(self):
with self.assertRaisesRegexp(
ValueError,
'converted_function must be the result of an autograph.to_graph call'):
with errors.improved_errors(None):
pass
def test_bad_ag_source_map(self):
with self.assertRaisesRegexp(
ValueError,
'converted_function must be the result of an autograph.to_graph call'):
src_map = None
zero_div_caller.ag_source_map = src_map
with errors.improved_errors(None):
pass
if __name__ == '__main__':
test.main()
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