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 where.""" 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_where_tests(options): 28 """Make a set of tests to do where.""" 29 30 test_parameters = [ 31 { 32 "input_dtype": [tf.float32, tf.int32], 33 "input_shape_set": [([1, 2, 3, 4], [1, 2, 3, 4]),], 34 "use_where_v2": [False, True], 35 "fully_quantize": [False], 36 }, 37 { 38 "input_dtype": [tf.float32, tf.int32], 39 "input_shape_set": [([], []),], 40 "use_where_v2": [], 41 "fully_quantize": [False], 42 }, 43 { 44 "input_dtype": [tf.float32], 45 "input_shape_set": [ 46 ([1, 2, 3, 4], [1, 2, 3, 4]), 47 ([], []), 48 ], 49 "use_where_v2": [False, True], 50 "fully_quantize": [True], 51 }, 52 ] 53 54 # High dimension broadcasting support in MLIR converter. 55 if options.use_experimental_converter: 56 test_parameters = test_parameters + [ 57 { 58 "input_dtype": [tf.float32, tf.int32], 59 "input_shape_set": [([8, 7, 6, 5, 4, 3, 2, 1], [4, 3, 2, 1]), 60 ([8, 7, 6, 5, 4, 3, 2, 1], [None, 3, 2, 1]), 61 ([8, 7, 6, 5, None, 3, 2, 1], [None, 3, 2, 1])], 62 "use_where_v2": [True], 63 "fully_quantize": [False], 64 "dynamic_size_value": [4, 1], 65 }, 66 { 67 "input_dtype": [tf.float32], 68 "input_shape_set": [([8, 7, 6, 5, 4, 3, 2, 1], [4, 3, 2, 1])], 69 "use_where_v2": [True], 70 "fully_quantize": [True], 71 "dynamic_size_value": [4], 72 }, 73 { 74 "input_dtype": [tf.float32, tf.int32], 75 "input_shape_set": [([], []), ([1], []), ([], [1])], 76 "use_where_v2": [False, True], 77 "fully_quantize": [False], 78 }, 79 ] 80 81 def populate_dynamic_shape(parameters, input_shape): 82 return [ 83 parameters["dynamic_size_value"] if x is None else x 84 for x in input_shape 85 ] 86 87 def build_graph(parameters): 88 """Build the where op testing graph.""" 89 input_value1 = tf.compat.v1.placeholder( 90 dtype=parameters["input_dtype"], 91 name="input2", 92 shape=parameters["input_shape_set"][0]) 93 input_value2 = tf.compat.v1.placeholder( 94 dtype=parameters["input_dtype"], 95 name="input3", 96 shape=parameters["input_shape_set"][1]) 97 less = tf.less(input_value1, input_value2) 98 where = tf.where_v2 if parameters["use_where_v2"] else tf.where 99 out = where(less, input_value1, input_value2) 100 return [input_value1, input_value2], [out] 101 102 def build_inputs(parameters, sess, inputs, outputs): 103 input_shape_1 = populate_dynamic_shape(parameters, 104 parameters["input_shape_set"][0]) 105 input_shape_2 = populate_dynamic_shape(parameters, 106 parameters["input_shape_set"][1]) 107 108 input_value1 = create_tensor_data( 109 parameters["input_dtype"], input_shape_1, min_value=-1, max_value=1) 110 input_value2 = create_tensor_data( 111 parameters["input_dtype"], input_shape_2, min_value=-1, max_value=1) 112 return [input_value1, input_value2], sess.run( 113 outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2]))) 114 115 if options.use_experimental_converter: 116 expected_tf_failures = 4 117 else: 118 expected_tf_failures = 0 119 120 make_zip_of_tests( 121 options, 122 test_parameters, 123 build_graph, 124 build_inputs, 125 expected_tf_failures=expected_tf_failures) 126