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 greater_equal.""" 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_greater_equal_tests(options): 28 """Make a set of tests to do greater_equal.""" 29 30 test_parameters = [{ 31 "input_dtype": [tf.float32, tf.int32, tf.int64], 32 "input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), 33 ([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]), 34 ([5, 5], [1]), ([10], [2, 4, 10])], 35 "fully_quantize": [False], 36 }, { 37 "input_dtype": [tf.float32], 38 "input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])], 39 "fully_quantize": [True], 40 }] 41 42 def build_graph(parameters): 43 """Build the greater_equal op testing graph.""" 44 input_value1 = tf.compat.v1.placeholder( 45 dtype=parameters["input_dtype"], 46 name="input1", 47 shape=parameters["input_shape_pair"][0]) 48 input_value2 = tf.compat.v1.placeholder( 49 dtype=parameters["input_dtype"], 50 name="input2", 51 shape=parameters["input_shape_pair"][1]) 52 out = tf.greater_equal(input_value1, input_value2) 53 return [input_value1, input_value2], [out] 54 55 def build_inputs(parameters, sess, inputs, outputs): 56 input_value1 = create_tensor_data(parameters["input_dtype"], 57 parameters["input_shape_pair"][0]) 58 input_value2 = create_tensor_data(parameters["input_dtype"], 59 parameters["input_shape_pair"][1]) 60 return [input_value1, input_value2], sess.run( 61 outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2]))) 62 63 make_zip_of_tests( 64 options, 65 test_parameters, 66 build_graph, 67 build_inputs, 68 expected_tf_failures=4) 69