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 softmax.""" 16import tensorflow.compat.v1 as tf 17from tensorflow.lite.testing.zip_test_utils import create_tensor_data 18from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests 19from tensorflow.lite.testing.zip_test_utils import register_make_test_function 20 21 22@register_make_test_function() 23def make_softmax_tests(options): 24 """Make a set of tests to do softmax.""" 25 26 test_parameters = [{ 27 "dtype": [tf.float32], 28 "input_shape": [[1, 3, 4, 3], [2, 3], [3], [1, 4], [1, 1, 5], 29 [1, 1, 1, 6]], 30 "dim": [-1, 0], 31 "fully_quantize": [False, True], 32 }, { 33 "dtype": [tf.float32], 34 "input_shape": [[4, 7]], 35 "dim": [-1, 1], 36 "fully_quantize": [False, True], 37 }] 38 39 def build_graph(parameters): 40 input_tensor = tf.compat.v1.placeholder( 41 dtype=parameters["dtype"], 42 name="input", 43 shape=parameters["input_shape"]) 44 out = tf.nn.softmax(input_tensor, dim=parameters["dim"]) 45 return [input_tensor], [out] 46 47 def build_inputs(parameters, sess, inputs, outputs): 48 input_values = create_tensor_data( 49 parameters["dtype"], 50 parameters["input_shape"], 51 min_value=-1, 52 max_value=1) 53 return [input_values], sess.run( 54 outputs, feed_dict=dict(zip(inputs, [input_values]))) 55 56 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 57