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1# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Test configs for relu1."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import numpy as np
21import tensorflow.compat.v1 as tf
22from tensorflow.lite.testing.zip_test_utils import create_tensor_data
23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
24from tensorflow.lite.testing.zip_test_utils import register_make_test_function
25
26
27@register_make_test_function()
28def make_relu1_tests(options):
29  """Make a set of tests to do relu1."""
30
31  # Chose a set of parameters
32  test_parameters = [{
33      "input_shape": [[], [1, 1, 1, 1], [1, 3, 4, 3], [3, 15, 14, 3]],
34      "fully_quantize": [True, False],
35      "input_range": [(-2, 8)]
36  }]
37
38  def build_graph(parameters):
39    input_tensor = tf.compat.v1.placeholder(
40        dtype=tf.float32, name="input", shape=parameters["input_shape"])
41    # Note that the following is not supported:
42    #   out = tf.maximum(-1.0, tf.minimum(input_tensor, 1.0))
43    out = tf.minimum(1.0, tf.maximum(input_tensor, -1.0))
44    return [input_tensor], [out]
45
46  def build_inputs(parameters, sess, inputs, outputs):
47    min_value, max_value = parameters["input_range"]
48    input_values = create_tensor_data(
49        np.float32, parameters["input_shape"], min_value, max_value)
50    return [input_values], sess.run(
51        outputs, feed_dict=dict(zip(inputs, [input_values])))
52
53  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
54