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 control_dep.""" 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 25TEST_INPUT_DEPTH = 3 26 27 28@register_make_test_function() 29def make_control_dep_tests(options): 30 """Make a set of tests that use control dependencies.""" 31 32 test_parameters = [{ 33 "input_shape": [[], [1, 1, 1, 1], [1, 15, 14, 1], [3, 15, 14, 3]], 34 }] 35 36 def build_graph(parameters): 37 input_tensor = tf.compat.v1.placeholder( 38 dtype=tf.float32, name="input", shape=parameters["input_shape"]) 39 filter_value = tf.zeros((3, 3, TEST_INPUT_DEPTH, 8), tf.float32) 40 assert_op = tf.compat.v1.assert_greater_equal(input_tensor, 41 input_tensor - 1) 42 with tf.control_dependencies([assert_op]): 43 out = tf.nn.conv2d( 44 input_tensor, filter_value, strides=(1, 1, 1, 1), padding="SAME") 45 return [input_tensor], [out] 46 47 def build_inputs(parameters, sess, inputs, outputs): 48 input_values = create_tensor_data(tf.float32, parameters["input_shape"]) 49 return [input_values], sess.run( 50 outputs, feed_dict=dict(zip(inputs, [input_values]))) 51 52 make_zip_of_tests( 53 options, 54 test_parameters, 55 build_graph, 56 build_inputs, 57 expected_tf_failures=3) 58