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 cast.""" 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_cast_tests(options): 28 """Generate examples for cast.""" 29 if options.use_experimental_converter: 30 test_parameters = [ 31 { 32 "input_dtype": [tf.float32], 33 "output_dtype": [tf.int16], 34 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 35 }, 36 { 37 "input_dtype": [tf.int16], 38 "output_dtype": [tf.float32], 39 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 40 }, 41 { 42 "input_dtype": [tf.int32], 43 "output_dtype": [tf.float32], 44 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 45 }] 46 else: 47 test_parameters = [ 48 { 49 "input_dtype": [tf.int32], 50 "output_dtype": [tf.float32], 51 "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]], 52 }] 53 54 def build_graph(parameters): 55 """Build the cast testing graph.""" 56 input_value = tf.compat.v1.placeholder( 57 dtype=parameters["input_dtype"], 58 name="input", 59 shape=parameters["input_shape"]) 60 out = tf.cast(input_value, parameters["output_dtype"]) 61 return [input_value], [out] 62 63 def build_inputs(parameters, sess, inputs, outputs): 64 input_value = create_tensor_data(parameters["input_dtype"], 65 parameters["input_shape"]) 66 return [input_value], sess.run( 67 outputs, feed_dict=dict(zip(inputs, [input_value]))) 68 69 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 70