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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 tensorflow.ops.compare_and_bitpack_op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class CompareAndBitpackTest(test.TestCase):
def _testCompareAndBitpack(self,
x, threshold,
truth,
expected_err_re=None):
with self.test_session(use_gpu=True):
ans = math_ops.compare_and_bitpack(x, threshold)
if expected_err_re is None:
tf_ans = ans.eval()
self.assertShapeEqual(truth, ans)
self.assertAllEqual(tf_ans, truth)
else:
with self.assertRaisesOpError(expected_err_re):
ans.eval()
def _testBasic(self, dtype):
rows = 371
cols = 294
x = np.random.randn(rows, cols * 8)
if dtype == np.bool:
x = x > 0
else:
x = x.astype(dtype)
threshold = dtype(0)
# np.packbits flattens the tensor, so we reshape it back to the
# expected dimensions.
truth = np.packbits(x > threshold).reshape(rows, cols)
self._testCompareAndBitpack(x, threshold, truth)
def testBasicFloat32(self):
self._testBasic(np.float32)
def testBasicFloat64(self):
self._testBasic(np.float64)
def testBasicFloat16(self):
self._testBasic(np.float16)
def testBasicBool(self):
self._testBasic(np.bool)
def testBasicInt8(self):
self._testBasic(np.int8)
def testBasicInt16(self):
self._testBasic(np.int16)
def testBasicInt32(self):
self._testBasic(np.int32)
def testBasicInt64(self):
self._testBasic(np.int64)
if __name__ == "__main__":
test.main()
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