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test_util_test.py
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# Copyright 2015 Google Inc. 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 tensorflow.ops.test_util."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import threading
import tensorflow.python.platform
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
from google.protobuf import text_format
from tensorflow.core.framework import graph_pb2
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.platform import googletest
from tensorflow.python.ops import constant_op
from tensorflow.python.ops import logging_ops
class TestUtilTest(test_util.TensorFlowTestCase):
def test_assert_ops_in_graph(self):
with self.test_session():
constant_op.constant(["hello", "taffy"], name="hello")
test_util.assert_ops_in_graph({"hello": "Const"}, ops.get_default_graph())
self.assertRaises(
ValueError, test_util.assert_ops_in_graph, {"bye": "Const"},
ops.get_default_graph())
self.assertRaises(
ValueError, test_util.assert_ops_in_graph, {"hello": "Variable"},
ops.get_default_graph())
def testIsGoogleCudaEnabled(self):
# The test doesn't assert anything. It ensures the py wrapper
# function is generated correctly.
if test_util.IsGoogleCudaEnabled():
print("GoogleCuda is enabled")
else:
print("GoogleCuda is disabled")
def testAssertProtoEqualsStr(self):
graph_str = "node { name: 'w1' op: 'params' }"
graph_def = graph_pb2.GraphDef()
text_format.Merge(graph_str, graph_def)
# test string based comparison
self.assertProtoEquals(graph_str, graph_def)
# test original comparison
self.assertProtoEquals(graph_def, graph_def)
def testNDArrayNear(self):
a1 = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
a2 = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
a3 = np.array([[10.0, 20.0, 30.0], [40.0, 50.0, 60.0]])
self.assertTrue(self._NDArrayNear(a1, a2, 1e-5))
self.assertFalse(self._NDArrayNear(a1, a3, 1e-5))
def testCheckedThreadSucceeds(self):
def noop(ev):
ev.set()
event_arg = threading.Event()
self.assertFalse(event_arg.is_set())
t = self.checkedThread(target=noop, args=(event_arg,))
t.start()
t.join()
self.assertTrue(event_arg.is_set())
def testCheckedThreadFails(self):
def err_func():
return 1 // 0
t = self.checkedThread(target=err_func)
t.start()
with self.assertRaises(self.failureException) as fe:
t.join()
self.assertTrue("integer division or modulo by zero" in str(fe.exception))
def testCheckedThreadWithWrongAssertionFails(self):
x = 37
def err_func():
self.assertTrue(x < 10)
t = self.checkedThread(target=err_func)
t.start()
with self.assertRaises(self.failureException) as fe:
t.join()
self.assertTrue("False is not true" in str(fe.exception))
def testMultipleThreadsWithOneFailure(self):
def err_func(i):
self.assertTrue(i != 7)
threads = [self.checkedThread(target=err_func, args=(i,))
for i in range(10)]
for t in threads:
t.start()
for i, t in enumerate(threads):
if i == 7:
with self.assertRaises(self.failureException):
t.join()
else:
t.join()
def _WeMustGoDeeper(self, msg):
with self.assertRaisesOpError(msg):
node_def = ops._NodeDef("op_type", "name")
node_def_orig = ops._NodeDef("op_type_orig", "orig")
op_orig = ops.Operation(node_def_orig, ops.get_default_graph())
op = ops.Operation(node_def, ops.get_default_graph(), original_op=op_orig)
raise errors.UnauthenticatedError(node_def, op, "true_err")
def testAssertRaisesOpErrorDoesNotPassMessageDueToLeakedStack(self):
with self.assertRaises(AssertionError):
self._WeMustGoDeeper("this_is_not_the_error_you_are_looking_for")
self._WeMustGoDeeper("true_err")
self._WeMustGoDeeper("name")
self._WeMustGoDeeper("orig")
def testAllCloseScalars(self):
self.assertAllClose(7, 7 + 1e-8)
with self.assertRaisesRegexp(AssertionError, r"Not equal to tolerance"):
self.assertAllClose(7, 8)
def testForceGPU(self):
with self.assertRaisesRegexp(errors.InvalidArgumentError,
"Cannot assign a device to node"):
with self.test_session(force_gpu=True):
# this relies on us not having a GPU implementation for assert, which
# seems sensible
x = [True]
y = [15]
logging_ops.Assert(x, y).run()
if __name__ == "__main__":
googletest.main()