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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 add_n."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import tensorflow.compat.v1 as tf
21from tensorflow.lite.testing.zip_test_utils import create_tensor_data
22from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
23from tensorflow.lite.testing.zip_test_utils import register_make_test_function
24
25
26@register_make_test_function()
27def make_add_n_tests(options):
28  """Make a set of tests for AddN op."""
29
30  test_parameters = [
31      {
32          "dtype": [tf.float32, tf.int32],
33          "input_shape": [[2, 5, 3, 1]],
34          "num_inputs": [2, 3, 4, 5],
35          "dynamic_range_quantize": [False],
36      },
37      {
38          "dtype": [tf.float32, tf.int32],
39          "input_shape": [[5]],
40          "num_inputs": [2, 3, 4, 5],
41          "dynamic_range_quantize": [False],
42      },
43      {
44          "dtype": [tf.float32, tf.int32],
45          "input_shape": [[]],
46          "num_inputs": [2, 3, 4, 5],
47          "dynamic_range_quantize": [False],
48      },
49      {
50          "dtype": [tf.float32],
51          "input_shape": [[]],
52          "num_inputs": [2, 3, 4, 5],
53          "dynamic_range_quantize": [True],
54      },
55  ]
56
57  def build_graph(parameters):
58    """Builds the graph given the current parameters."""
59    input_tensors = []
60    for i in range(parameters["num_inputs"]):
61      input_tensors.append(
62          tf.compat.v1.placeholder(
63              dtype=parameters["dtype"],
64              name="input_{}".format(i),
65              shape=parameters["input_shape"]))
66    out = tf.add_n(input_tensors)
67    return input_tensors, [out]
68
69  def build_inputs(parameters, sess, inputs, outputs):
70    """Builds operand inputs for op."""
71    input_data = []
72    for _ in range(parameters["num_inputs"]):
73      input_data.append(
74          create_tensor_data(parameters["dtype"], parameters["input_shape"]))
75    return input_data, sess.run(
76        outputs, feed_dict={i: d for i, d in zip(inputs, input_data)})
77
78  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
79