1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
# 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 quantized operations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.compiler.tests import xla_test
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import googletest
class QuantizedOpsTest(xla_test.XLATestCase):
# Verify that quantized types can be clustered by XLA.
def testQuantizedTypeRoundtrip(self):
with self.cached_session() as session:
for dtype in self.quantized_tf_types:
in_values = np.array([1, 2, 3, 4, 5, 6])
expected = [[1, 2], [3, 4], [5, 6]]
with self.test_scope():
p = array_ops.placeholder(dtype=dtypes.int32)
x = math_ops.cast(p, dtype)
x = array_ops.reshape(x, [3, 2])
value = session.run(x, {p: in_values})
self.assertAllEqual(value, expected)
if __name__ == "__main__":
googletest.main()
|
