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 maximum.""" 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_maximum_tests(options): 24 """Make a set of tests to do maximum.""" 25 26 test_parameters = [{ 27 "input_dtype": [tf.float32], 28 "input_shape_1": [[], [3], [1, 100], [4, 2, 3], [5, 224, 224, 3], 29 [5, 32, 32, 3, 1], [5, 32, 32, 3, 1]], 30 "input_shape_2": [[], [3], [1, 100], [4, 2, 3], [5, 224, 224, 3], 31 [5, 32, 32, 3, 3], [5, 32, 32, 3, 1]], 32 "fully_quantize": [False, True], 33 }] 34 35 def build_graph(parameters): 36 """Build the maximum op testing graph.""" 37 input_tensor_1 = tf.compat.v1.placeholder( 38 dtype=parameters["input_dtype"], 39 name="input_1", 40 shape=parameters["input_shape_1"]) 41 input_tensor_2 = tf.compat.v1.placeholder( 42 dtype=parameters["input_dtype"], 43 name="input_2", 44 shape=parameters["input_shape_2"]) 45 46 out = tf.maximum(input_tensor_1, input_tensor_2) 47 return [input_tensor_1, input_tensor_2], [out] 48 49 def build_inputs(parameters, sess, inputs, outputs): 50 """Builds the inputs for the model above.""" 51 values = [ 52 create_tensor_data( 53 parameters["input_dtype"], 54 parameters["input_shape_1"], 55 min_value=-1, 56 max_value=1), 57 create_tensor_data( 58 parameters["input_dtype"], 59 parameters["input_shape_2"], 60 min_value=-1, 61 max_value=1) 62 ] 63 return values, sess.run(outputs, feed_dict=dict(zip(inputs, values))) 64 65 make_zip_of_tests( 66 options, 67 test_parameters, 68 build_graph, 69 build_inputs, 70 expected_tf_failures=44) 71