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 reverse_sequence.""" 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_reverse_sequence_tests(options): 24 """Make a set of tests to do reverse_sequence.""" 25 26 test_parameters = [{ 27 "input_dtype": [tf.float32, tf.int32, tf.int64], 28 "input_shape": [[8, 4, 5, 5, 6], [4, 4, 3, 5]], 29 "seq_lengths": [[2, 2, 2, 2], [2, 1, 1, 0]], 30 "seq_axis": [0, 3], 31 "batch_axis": [1] 32 }, { 33 "input_dtype": [tf.float32], 34 "input_shape": [[2, 4, 5, 5, 6]], 35 "seq_lengths": [[2, 1]], 36 "seq_axis": [2], 37 "batch_axis": [0] 38 }, { 39 "input_dtype": [tf.float32], 40 "input_shape": [[4, 2]], 41 "seq_lengths": [[3, 1]], 42 "seq_axis": [0], 43 "batch_axis": [1] 44 }] 45 46 def build_graph(parameters): 47 """Build the graph for reverse_sequence tests.""" 48 input_value = tf.compat.v1.placeholder( 49 dtype=parameters["input_dtype"], 50 name="input", 51 shape=parameters["input_shape"]) 52 outs = tf.reverse_sequence( 53 input_value, 54 seq_lengths=parameters["seq_lengths"], 55 batch_axis=parameters["batch_axis"], 56 seq_axis=parameters["seq_axis"]) 57 return [input_value], [outs] 58 59 def build_inputs(parameters, sess, inputs, outputs): 60 input_value = create_tensor_data(parameters["input_dtype"], 61 parameters["input_shape"]) 62 return [input_value], sess.run( 63 outputs, feed_dict=dict(zip(inputs, [input_value]))) 64 65 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 66