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_get_item.""" 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_get_item_tests(options): 29 """Make a set of tests to do TensorListGetItem.""" 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 "index": [0, 1, 2, 3], 37 }, 38 ] 39 40 def build_graph(parameters): 41 """Build the TensorListGetItem op testing graph.""" 42 data = tf.placeholder( 43 dtype=parameters["element_dtype"], 44 shape=[parameters["num_elements"]] + parameters["element_shape"]) 45 tensor_list = list_ops.tensor_list_from_tensor(data, 46 parameters["element_shape"]) 47 out = list_ops.tensor_list_get_item(tensor_list, parameters["index"], 48 parameters["element_dtype"]) 49 return [data], [out] 50 51 def build_inputs(parameters, sess, inputs, outputs): 52 data = create_tensor_data(parameters["element_dtype"], 53 [parameters["num_elements"]] + 54 parameters["element_shape"]) 55 return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data]))) 56 57 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 58