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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 tensor_list_dynamic_shape."""
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
24from tensorflow.python.ops import list_ops
25
26
27@register_make_test_function()
28def make_tensor_list_dynamic_shape_tests(options):
29  """Make a set of tests for tensorlists with dynamic shape."""
30
31  test_parameters = [
32      {
33          "element_dtype": [tf.float32, tf.int32],
34          "num_elements": [4, 5, 6],
35          "element_shape": [[], [5], [3, 3]],
36      },
37  ]
38
39  def build_graph(parameters):
40    """Build the TensorListSetItem op testing graph."""
41    item = tf.placeholder(
42        dtype=parameters["element_dtype"], shape=parameters["element_shape"])
43    tensor_list = list_ops.tensor_list_reserve(
44        element_shape=None,
45        num_elements=parameters["num_elements"],
46        element_dtype=parameters["element_dtype"])
47
48    init_state = (0, tensor_list)
49    condition = lambda i, _: i < parameters["num_elements"]
50
51    def loop_body(i, tensor_list):
52      new_item = tf.add(
53          tf.add(item, item),
54          tf.constant(value=1, dtype=parameters["element_dtype"]))
55      new_list = list_ops.tensor_list_set_item(tensor_list, i, new_item)
56      return i + 1, new_list
57
58    _, tensor_list = tf.while_loop(condition, loop_body, init_state)
59    out = list_ops.tensor_list_stack(
60        tensor_list,
61        num_elements=parameters["num_elements"],
62        element_dtype=parameters["element_dtype"])
63    return [item], [out]
64
65  def build_inputs(parameters, sess, inputs, outputs):
66    item = create_tensor_data(parameters["element_dtype"],
67                              parameters["element_shape"])
68    return [item], sess.run(outputs, feed_dict=dict(zip(inputs, [item])))
69
70  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
71