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# Copyright 2015 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 division with division imported from __future__.
This file should be exactly the same as division_past_test.py except
for the __future__ division line.
"""
from __future__ import absolute_import
# from __future__ import division # Intentionally skip this import
from __future__ import print_function
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import ops
from tensorflow.python.platform import test
class DivisionTestCase(test.TestCase):
def testDivision(self):
"""Test all the different ways to divide."""
values = [1, 2, 7, 11]
functions = (lambda x: x), constant_op.constant
dtypes = np.int8, np.int16, np.int32, np.int64, np.float32, np.float64
tensors = []
checks = []
def check(x, y):
x = ops.convert_to_tensor(x)
y = ops.convert_to_tensor(y)
tensors.append((x, y))
def f(x, y):
self.assertEqual(x.dtype, y.dtype)
self.assertEqual(x, y)
checks.append(f)
with self.cached_session() as sess:
for dtype in dtypes:
for x in map(dtype, values):
for y in map(dtype, values):
for fx in functions:
for fy in functions:
tf_x = fx(x)
tf_y = fy(y)
div = x / y
tf_div = tf_x / tf_y
check(div, tf_div)
floordiv = x // y
tf_floordiv = tf_x // tf_y
check(floordiv, tf_floordiv)
# Do only one sess.run for speed
for f, (x, y) in zip(checks, sess.run(tensors)):
f(x, y)
if __name__ == "__main__":
test.main()
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