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 not_equal.""" 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 24 25 26@register_make_test_function() 27def make_not_equal_tests(options): 28 """Make a set of tests to do not equal.""" 29 30 test_parameters = [{ 31 "input_dtype": [tf.float32, tf.int32, tf.int64, tf.string], 32 "input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), 33 ([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]), 34 ([5, 5], [1]), ([10], [2, 4, 10])], 35 }] 36 37 def build_graph(parameters): 38 """Build the not equal op testing graph.""" 39 input_value1 = tf.compat.v1.placeholder( 40 dtype=parameters["input_dtype"], 41 name="input1", 42 shape=parameters["input_shape_pair"][0]) 43 input_value2 = tf.compat.v1.placeholder( 44 dtype=parameters["input_dtype"], 45 name="input2", 46 shape=parameters["input_shape_pair"][1]) 47 out = tf.not_equal(input_value1, input_value2) 48 return [input_value1, input_value2], [out] 49 50 def build_inputs(parameters, sess, inputs, outputs): 51 input_value1 = create_tensor_data(parameters["input_dtype"], 52 parameters["input_shape_pair"][0]) 53 input_value2 = create_tensor_data(parameters["input_dtype"], 54 parameters["input_shape_pair"][1]) 55 return [input_value1, input_value2], sess.run( 56 outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2]))) 57 58 make_zip_of_tests( 59 options, 60 test_parameters, 61 build_graph, 62 build_inputs, 63 expected_tf_failures=4) 64