1# Copyright 2020 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 broadcast_to.""" 16from __future__ import absolute_import 17from __future__ import division 18from __future__ import print_function 19 20import tensorflow 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_broadcast_to_tests") 27def make_broadcast_to_tests(options): 28 """Make a set of tests to do broadcast_to.""" 29 30 # Chose a set of parameters 31 test_parameters = [{ 32 "input_dtype": [tf.float32, tf.int32], 33 "input_shape": [[1, 2], [2, 3, 4], [1], [2, 5, 2, 3, 4]], 34 "output_shape": [[3, 1, 2], [5, 2, 3, 4], [10, 10], 35 [1, 2, 1, 2, 5, 2, 3, 4]], 36 }, { 37 "input_dtype": [tf.float32, tf.int32], 38 "input_shape": [[3, 2, 3, 4, 5, 6, 7, 8]], 39 "output_shape": [[3, 2, 3, 4, 5, 6, 7, 8]], 40 }, { 41 "input_dtype": [tf.float32, tf.int32], 42 "input_shape": [[1, 3, 1, 2, 1, 4, 1, 1]], 43 "output_shape": [[2, 3, 1, 2, 2, 4, 1, 1]], 44 }, { 45 "input_dtype": [tf.float32, tf.int32], 46 "input_shape": [[2, 1, 1, 2, 1, 4, 1, 1]], 47 "output_shape": [[2, 3, 2, 2, 2, 4, 1, 1]], 48 }, { 49 "input_dtype": [tf.float32, tf.int32], 50 "input_shape": [[3, 4, 1]], 51 "output_shape": [[3, 4, 0]], 52 }] 53 54 def build_graph(parameters): 55 """Build the graph for cond tests.""" 56 input_tensor = tf.compat.v1.placeholder( 57 dtype=parameters["input_dtype"], 58 name="input", 59 shape=parameters["input_shape"]) 60 61 out = tf.broadcast_to(input_tensor, shape=parameters["output_shape"]) 62 return [input_tensor], [out] 63 64 def build_inputs(parameters, sess, inputs, outputs): 65 input_values = [ 66 create_tensor_data(parameters["input_dtype"], parameters["input_shape"]) 67 ] 68 return input_values, sess.run( 69 outputs, feed_dict=dict(zip(inputs, input_values))) 70 71 make_zip_of_tests( 72 options, 73 test_parameters, 74 build_graph, 75 build_inputs, 76 expected_tf_failures=16) 77