43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# Copyright 2019 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 tensorflow.ops.fingerprint_op."""
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
import numpy as np
|
|
|
|
from tensorflow.python.ops import array_ops
|
|
from tensorflow.python.platform import test
|
|
|
|
|
|
# Fingerprint op has C++ tests. This simple test case tests that fingerprint
|
|
# function is accessible via Python API.
|
|
class FingerprintTest(test.TestCase):
|
|
|
|
def test_default_values(self):
|
|
data = np.arange(10)
|
|
data = np.expand_dims(data, axis=0)
|
|
fingerprint0 = self.evaluate(array_ops.fingerprint(data))
|
|
fingerprint1 = self.evaluate(array_ops.fingerprint(data[:, 1:]))
|
|
self.assertEqual(fingerprint0.ndim, 2)
|
|
self.assertTupleEqual(fingerprint0.shape, fingerprint1.shape)
|
|
self.assertTrue(np.any(fingerprint0 != fingerprint1))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test.main()
|