• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1# Copyright 2022 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_set_item."""
16import functools
17
18import tensorflow.compat.v1 as tf
19from tensorflow.lite.testing.zip_test_utils import create_tensor_data
20from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
21from tensorflow.lite.testing.zip_test_utils import register_make_test_function
22from tensorflow.python.ops import list_ops
23
24
25def _tflite_convert_verify_op(tflite_convert_function, *args, **kwargs):
26  """Verifies that the result of the conversion contains DynamicUpdateSlice op."""
27  result = tflite_convert_function(*args, **kwargs)
28  tflite_model_binary = result[0]
29  if not result[0]:
30    tf.compat.v1.logging.error(result[1])  # stderr from running tflite_convert.
31    raise RuntimeError("Failed to build model: \n\n" + result[1])
32  interpreter = tf.lite.Interpreter(model_content=tflite_model_binary)
33  interpreter.allocate_tensors()
34  for op in interpreter._get_ops_details():  # pylint: disable=protected-access
35    if op["op_name"] == "DYNAMIC_UPDATE_SLICE":
36      return result
37  raise RuntimeError(
38      "Expected to generate DYNAMIC_UPDATE_SLICE op node in graph.")
39
40
41@register_make_test_function()
42def make_dynamic_update_slice_tests(options):
43  """Make a set of tests to do TensorListSetItem."""
44
45  test_parameters = [
46      {
47          "element_dtype": [tf.float32, tf.int32, tf.bool],
48          "num_elements": [4, 5, 6],
49          "element_shape": [[], [5], [3, 3]],
50          "index": [0, 1, 2, 3],
51      },
52  ]
53
54  def build_graph(parameters):
55    """Build the TensorListSetItem op testing graph."""
56    data = tf.placeholder(
57        dtype=parameters["element_dtype"],
58        shape=[parameters["num_elements"]] + parameters["element_shape"])
59    item = tf.placeholder(
60        dtype=parameters["element_dtype"], shape=parameters["element_shape"])
61    tensor_list = list_ops.tensor_list_from_tensor(data,
62                                                   parameters["element_shape"])
63    tensor_list = list_ops.tensor_list_set_item(tensor_list,
64                                                parameters["index"], item)
65    out = list_ops.tensor_list_stack(
66        tensor_list,
67        num_elements=parameters["num_elements"],
68        element_dtype=parameters["element_dtype"])
69    return [data, item], [out]
70
71  def build_inputs(parameters, sess, inputs, outputs):
72    data = create_tensor_data(parameters["element_dtype"],
73                              [parameters["num_elements"]] +
74                              parameters["element_shape"])
75    item = create_tensor_data(parameters["element_dtype"],
76                              parameters["element_shape"])
77    return [data, item], sess.run(
78        outputs, feed_dict=dict(zip(inputs, [data, item])))
79
80  options.enable_dynamic_update_slice = True
81  options.tflite_convert_function = functools.partial(
82      _tflite_convert_verify_op, options.tflite_convert_function)
83  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
84