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.""" 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_maximum_tests(options): 28 """Make a set of tests to do maximum.""" 29 30 test_parameters = [{ 31 "input_dtype": [tf.float32], 32 "input_shape_1": [[], [3], [1, 100], [4, 2, 3], [5, 224, 224, 3], 33 [5, 32, 32, 3, 1], [5, 32, 32, 3, 1]], 34 "input_shape_2": [[], [3], [1, 100], [4, 2, 3], [5, 224, 224, 3], 35 [5, 32, 32, 3, 3], [5, 32, 32, 3, 1]], 36 "fully_quantize": [False, True], 37 }] 38 39 def build_graph(parameters): 40 """Build the maximum op testing graph.""" 41 input_tensor_1 = tf.compat.v1.placeholder( 42 dtype=parameters["input_dtype"], 43 name="input_1", 44 shape=parameters["input_shape_1"]) 45 input_tensor_2 = tf.compat.v1.placeholder( 46 dtype=parameters["input_dtype"], 47 name="input_2", 48 shape=parameters["input_shape_2"]) 49 50 out = tf.maximum(input_tensor_1, input_tensor_2) 51 return [input_tensor_1, input_tensor_2], [out] 52 53 def build_inputs(parameters, sess, inputs, outputs): 54 """Builds the inputs for the model above.""" 55 values = [ 56 create_tensor_data( 57 parameters["input_dtype"], 58 parameters["input_shape_1"], 59 min_value=-1, 60 max_value=1), 61 create_tensor_data( 62 parameters["input_dtype"], 63 parameters["input_shape_2"], 64 min_value=-1, 65 max_value=1) 66 ] 67 return values, sess.run(outputs, feed_dict=dict(zip(inputs, values))) 68 69 make_zip_of_tests( 70 options, 71 test_parameters, 72 build_graph, 73 build_inputs, 74 expected_tf_failures=44) 75