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 zeros_like.""" 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_zeros_like_tests(options): 28 """Make a set of tests to do zeros_like.""" 29 30 test_parameters = [{ 31 "input_dtype": [tf.float32, tf.int32, tf.int64], 32 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 33 }] 34 35 def build_graph(parameters): 36 """Build the zeros_like op testing graph.""" 37 input_tensor = tf.compat.v1.placeholder( 38 dtype=parameters["input_dtype"], 39 name="input", 40 shape=parameters["input_shape"]) 41 zeros = tf.zeros_like(input_tensor) 42 # This maximum node is so that toco can perform the constants-propagation 43 # through the above zeros_like, which it can't do if the output of the 44 # zeros_like as an output of the whole graphs (graph outputs can't be 45 # constants). If toco does not perform such constants-propagation then 46 # the resulting tflite graph retains the zeros_like as a Fill op, which 47 # is unsupported by TFLite, even as a custom op. 48 out = tf.maximum(zeros, input_tensor) 49 return [input_tensor], [out] 50 51 def build_inputs(parameters, sess, inputs, outputs): 52 values = create_tensor_data(parameters["input_dtype"], 53 parameters["input_shape"]) 54 return [values], sess.run(outputs, feed_dict=dict(zip(inputs, [values]))) 55 56 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 57