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 elementwise ops.""" 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 26def _make_elementwise_tests(op, allow_fully_quantize=False, min_value=-100, 27 max_value=100): 28 """Make a set of tests to do element-wise operations.""" 29 30 def f(options): 31 """Actual function that generates examples.""" 32 test_parameters = [ 33 { 34 "input_dtype": [tf.float32], 35 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 36 "fully_quantize": [False], 37 "input_range": [[min_value, max_value]], 38 }, 39 { 40 "input_dtype": [tf.float32], 41 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 42 "fully_quantize": [True], 43 "input_range": [[min_value, max_value]], 44 }, 45 ] 46 47 if not allow_fully_quantize: 48 test_parameters = [ 49 test_parameter for test_parameter in test_parameters 50 if True not in test_parameter["fully_quantize"] 51 ] 52 53 def build_graph(parameters): 54 """Build the unary op testing graph.""" 55 input_value = tf.compat.v1.placeholder( 56 dtype=parameters["input_dtype"], 57 name="input1", 58 shape=parameters["input_shape"]) 59 out = op(input_value) 60 return [input_value], [out] 61 62 def build_inputs(parameters, sess, inputs, outputs): 63 input_value = create_tensor_data(parameters["input_dtype"], 64 parameters["input_shape"], 65 min_value=min_value, 66 max_value=max_value) 67 return [input_value], sess.run( 68 outputs, feed_dict={inputs[0]: input_value}) 69 70 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 71 72 return f 73 74 75@register_make_test_function() 76def make_sin_tests(options): 77 """Make a set of tests to do sin.""" 78 return _make_elementwise_tests(tf.sin)(options) 79 80 81@register_make_test_function() 82def make_log_tests(options): 83 """Make a set of tests to do log.""" 84 return _make_elementwise_tests(tf.math.log)(options) 85 86 87@register_make_test_function() 88def make_sqrt_tests(options): 89 """Make a set of tests to do sqrt.""" 90 return _make_elementwise_tests(tf.sqrt)(options) 91 92 93@register_make_test_function() 94def make_rsqrt_tests(options): 95 """Make a set of tests to do 1/sqrt.""" 96 return _make_elementwise_tests(tf.math.rsqrt, allow_fully_quantize=True, 97 min_value=.1, max_value=1)(options) 98 99 100@register_make_test_function() 101def make_square_tests(options): 102 """Make a set of tests to do square.""" 103 return _make_elementwise_tests(tf.square)(options) 104