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 fill.""" 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_scalar_data 22from tensorflow.lite.testing.zip_test_utils import create_tensor_data 23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests 24from tensorflow.lite.testing.zip_test_utils import register_make_test_function 25 26 27@register_make_test_function() 28def make_fill_tests(options): 29 """Make a set of tests to do fill.""" 30 31 test_parameters = [{ 32 "dims_dtype": [tf.int32, tf.int64], 33 "dims_shape": [[], [1], [3], [3, 3]], 34 "value_dtype": [tf.int32, tf.int64, tf.float32, tf.bool, tf.string], 35 }] 36 37 def build_graph(parameters): 38 """Build the fill op testing graph.""" 39 input1 = tf.compat.v1.placeholder( 40 dtype=parameters["dims_dtype"], 41 name="dims", 42 shape=parameters["dims_shape"]) 43 input2 = tf.compat.v1.placeholder( 44 dtype=parameters["value_dtype"], name="value", shape=[]) 45 out = tf.fill(input1, input2) 46 return [input1, input2], [out] 47 48 def build_inputs(parameters, sess, inputs, outputs): 49 input1 = create_tensor_data(parameters["dims_dtype"], 50 parameters["dims_shape"], 1) 51 input2 = create_scalar_data(parameters["value_dtype"]) 52 return [input1, input2], sess.run( 53 outputs, feed_dict=dict(zip(inputs, [input1, input2]))) 54 55 make_zip_of_tests( 56 options, 57 test_parameters, 58 build_graph, 59 build_inputs, 60 expected_tf_failures=20) 61