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 equal.""" 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_equal_tests(options): 24 """Make a set of tests to do equal.""" 25 26 test_parameters = [{ 27 "input_dtype": [tf.float32, tf.int32, tf.int64, tf.string], 28 "input_shape_pair": [([], []), ([1, 1, 1, 3], [1, 1, 1, 3]), 29 ([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]), 30 ([5, 5], [1]), ([10], [2, 4, 10])], 31 "fully_quantize": [False], 32 }, { 33 "input_dtype": [tf.float32], 34 "input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])], 35 "fully_quantize": [True], 36 }] 37 38 def build_graph(parameters): 39 """Build the equal op testing graph.""" 40 input_value1 = tf.compat.v1.placeholder( 41 dtype=parameters["input_dtype"], 42 name="input1", 43 shape=parameters["input_shape_pair"][0]) 44 input_value2 = tf.compat.v1.placeholder( 45 dtype=parameters["input_dtype"], 46 name="input2", 47 shape=parameters["input_shape_pair"][1]) 48 out = tf.equal(input_value1, input_value2) 49 return [input_value1, input_value2], [out] 50 51 def build_inputs(parameters, sess, inputs, outputs): 52 input_value1 = create_tensor_data(parameters["input_dtype"], 53 parameters["input_shape_pair"][0]) 54 input_value2 = create_tensor_data(parameters["input_dtype"], 55 parameters["input_shape_pair"][1]) 56 return [input_value1, input_value2], sess.run( 57 outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2]))) 58 59 make_zip_of_tests( 60 options, 61 test_parameters, 62 build_graph, 63 build_inputs, 64 expected_tf_failures=5) 65