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1# Copyright 2021 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 roll."""
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
22
23from tensorflow.lite.testing.zip_test_utils import create_tensor_data
24from tensorflow.lite.testing.zip_test_utils import ExtraTocoOptions
25from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
26from tensorflow.lite.testing.zip_test_utils import register_make_test_function
27
28test_parameters = [
29    # Scalar axis.
30    {
31        "input_dtype": [tf.float32, tf.int32],
32        "input_shape": [[2, 4, 5], [3, 8, 4]],
33        "shift": [1, -3, 5],
34        "axis": [0, 1, 2],
35    },
36    # 1-D axis.
37    {
38        "input_dtype": [tf.float32, tf.int32],
39        "input_shape": [[2, 4, 5], [3, 8, 4]],
40        "shift": [[1], [-3], [5]],
41        "axis": [[0], [1], [2]],
42    },
43    # Multiple axis.
44    {
45        "input_dtype": [tf.float32, tf.int32],
46        "input_shape": [[2, 4, 5], [3, 8, 4]],
47        "shift": [[1, 3, 2], [3, -6, 5], [-5, 7, 8]],
48        "axis": [[0, 1, 2]],
49    },
50    # Duplicate axis.
51    {
52        "input_dtype": [tf.float32],
53        "input_shape": [[2, 4, 5], [3, 8, 4]],
54        "shift": [[1, 3, -2]],
55        "axis": [[0, 1, 1]],
56    },
57]
58
59
60@register_make_test_function()
61def make_roll_with_constant_tests(options):
62  """Make a set of tests to do roll with constant shift and axis."""
63
64  def build_graph(parameters):
65    input_value = tf.compat.v1.placeholder(
66        dtype=parameters["input_dtype"],
67        name="input",
68        shape=parameters["input_shape"])
69    outs = tf.roll(
70        input_value, shift=parameters["shift"], axis=parameters["axis"])
71    return [input_value], [outs]
72
73  def build_inputs(parameters, sess, inputs, outputs):
74    input_value = create_tensor_data(parameters["input_dtype"],
75                                     parameters["input_shape"])
76    return [input_value], sess.run(
77        outputs, feed_dict=dict(zip(inputs, [input_value])))
78
79  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
80
81
82@register_make_test_function()
83def make_roll_tests(options):
84  """Make a set of tests to do roll."""
85
86  ext_test_parameters = test_parameters + [
87      # Scalar axis.
88      {
89          "input_dtype": [tf.float32, tf.int32],
90          "input_shape": [[None, 8, 4]],
91          "shift": [-3, 5],
92          "axis": [1, 2],
93      }
94  ]
95
96  def set_dynamic_shape(shape):
97    return [4 if x is None else x for x in shape]
98
99  def get_shape(param):
100    if np.isscalar(param):
101      return []
102    return [len(param)]
103
104  def get_value(param, dtype):
105    if np.isscalar(param):
106      return np.dtype(dtype).type(param)
107    return np.array(param).astype(dtype)
108
109  def build_graph(parameters):
110    input_tensor = tf.compat.v1.placeholder(
111        dtype=parameters["input_dtype"],
112        name="input",
113        shape=parameters["input_shape"])
114    shift_tensor = tf.compat.v1.placeholder(
115        dtype=tf.int64, name="shift", shape=get_shape(parameters["shift"]))
116    axis_tensor = tf.compat.v1.placeholder(
117        dtype=tf.int64, name="axis", shape=get_shape(parameters["axis"]))
118    outs = tf.roll(input_tensor, shift_tensor, axis_tensor)
119    return [input_tensor, shift_tensor, axis_tensor], [outs]
120
121  def build_inputs(parameters, sess, inputs, outputs):
122    input_value = create_tensor_data(
123        parameters["input_dtype"], set_dynamic_shape(parameters["input_shape"]))
124    shift_value = get_value(parameters["shift"], np.int64)
125    axis_value = get_value(parameters["axis"], np.int64)
126    return [input_value, shift_value, axis_value], sess.run(
127        outputs,
128        feed_dict=dict(zip(inputs, [input_value, shift_value, axis_value])))
129
130  extra_toco_options = ExtraTocoOptions()
131  extra_toco_options.allow_custom_ops = True
132  make_zip_of_tests(options, ext_test_parameters, build_graph, build_inputs,
133                    extra_toco_options)
134