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 reciprocal.""" 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("make_reciprocal_tests") 27def make_reciprocal_tests(options): 28 """Make a set of tests to do reciprocal.""" 29 30 # Chose a set of parameters 31 test_parameters = [{ 32 "input_dtype": [tf.float32, tf.int32, tf.int64], 33 "input_shape": [[1, 2], [1, 2, 3, 4], [10]], 34 }] 35 36 def build_graph(parameters): 37 """Build the graph for cond tests.""" 38 input_tensor = tf.compat.v1.placeholder( 39 dtype=parameters["input_dtype"], 40 name="input", 41 shape=parameters["input_shape"]) 42 43 out = tf.math.reciprocal(input_tensor) 44 return [input_tensor], [out] 45 46 def build_inputs(parameters, sess, inputs, outputs): 47 input_values = [ 48 create_tensor_data(parameters["input_dtype"], parameters["input_shape"]) 49 ] 50 return input_values, sess.run( 51 outputs, feed_dict=dict(zip(inputs, input_values))) 52 53 make_zip_of_tests( 54 options, 55 test_parameters, 56 build_graph, 57 build_inputs, 58 expected_tf_failures=6) 59