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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 embedding_lookup."""
16import tensorflow.compat.v1 as tf
17from tensorflow.lite.testing.zip_test_utils import create_tensor_data
18from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
19from tensorflow.lite.testing.zip_test_utils import register_make_test_function
20
21
22@register_make_test_function()
23def make_embedding_lookup_tests(options):
24  """Make a set of tests to do gather."""
25
26  test_parameters = [
27      {
28          "params_dtype": [tf.float32],
29          "params_shape": [[10], [10, 10]],
30          "ids_dtype": [tf.int32],
31          "ids_shape": [[3], [5]],
32      },
33  ]
34
35  def build_graph(parameters):
36    """Build the gather op testing graph."""
37    params = tf.compat.v1.placeholder(
38        dtype=parameters["params_dtype"],
39        name="params",
40        shape=parameters["params_shape"])
41    ids = tf.compat.v1.placeholder(
42        dtype=parameters["ids_dtype"],
43        name="ids",
44        shape=parameters["ids_shape"])
45    out = tf.nn.embedding_lookup(params, ids)
46    return [params, ids], [out]
47
48  def build_inputs(parameters, sess, inputs, outputs):
49    params = create_tensor_data(parameters["params_dtype"],
50                                parameters["params_shape"])
51    ids = create_tensor_data(parameters["ids_dtype"], parameters["ids_shape"],
52                             0, parameters["params_shape"][0] - 1)
53    return [params, ids], sess.run(
54        outputs, feed_dict=dict(zip(inputs, [params, ids])))
55
56  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
57