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 relu1.""" 16from __future__ import absolute_import 17from __future__ import division 18from __future__ import print_function 19 20import numpy as np 21import tensorflow.compat.v1 as tf 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_relu1_tests(options): 29 """Make a set of tests to do relu1.""" 30 31 # Chose a set of parameters 32 test_parameters = [{ 33 "input_shape": [[], [1, 1, 1, 1], [1, 3, 4, 3], [3, 15, 14, 3]], 34 "fully_quantize": [True, False], 35 "input_range": [(-2, 8)] 36 }] 37 38 def build_graph(parameters): 39 input_tensor = tf.compat.v1.placeholder( 40 dtype=tf.float32, name="input", shape=parameters["input_shape"]) 41 # Note that the following is not supported: 42 # out = tf.maximum(-1.0, tf.minimum(input_tensor, 1.0)) 43 out = tf.minimum(1.0, tf.maximum(input_tensor, -1.0)) 44 return [input_tensor], [out] 45 46 def build_inputs(parameters, sess, inputs, outputs): 47 min_value, max_value = parameters["input_range"] 48 input_values = create_tensor_data( 49 np.float32, parameters["input_shape"], min_value, max_value) 50 return [input_values], sess.run( 51 outputs, feed_dict=dict(zip(inputs, [input_values]))) 52 53 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 54