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 squeeze.""" 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() 27def make_squeeze_tests(options): 28 """Make a set of tests to do squeeze.""" 29 30 test_parameters = [{ 31 "dtype": [tf.int32, tf.float32, tf.int64], 32 "input_shape": [[1, 2, 1, 3, 1, 4, 1, 1]], 33 "axis": [ 34 None, [], [0, 2], [4, 7], [-1, 0, 2, 0, 7, -6], [1], [2, 3, 2], 35 [-1, -2, -4, -6, -8], [0, 2, 4, 6, 7], [7, 6, 4, 2, 0], [6, 6], 36 [0, 1, 2, 3, 4, 5, 6, 7], [-2, -3, 1, 0, 7, -5] 37 ], 38 "fully_quantize": [False], 39 }, { 40 "dtype": [tf.int32, tf.float32, tf.int64], 41 "input_shape": [[1]], 42 "axis": [None, [], [0], [-1]], 43 "fully_quantize": [False], 44 }, { 45 "dtype": [tf.int32, tf.float32, tf.int64], 46 "input_shape": [[1, 1, 1, 1, 1]], 47 "axis": [None, [], [0], [3, 0], [-2, 0, 3, 2]], 48 "fully_quantize": [False], 49 }, { 50 "dtype": [tf.float32], 51 "input_shape": [[1, 2, 1, 3, 1, 4, 1, 1]], 52 "axis": [ 53 None, [], [0, 2], [4, 7], [-1, 0, 2, 0, 7, -6], [1], [2, 3, 2], 54 [-1, -2, -4, -6, -8], [0, 2, 4, 6, 7], [7, 6, 4, 2, 0], [6, 6], 55 [0, 1, 2, 3, 4, 5, 6, 7], [-2, -3, 1, 0, 7, -5] 56 ], 57 "fully_quantize": [True], 58 }, { 59 "dtype": [tf.float32], 60 "input_shape": [[1, 1, 1, 1, 1]], 61 "axis": [[0], [3, 0], [-2, 0, 3, 2]], 62 "fully_quantize": [True], 63 }, { 64 "dtype": [tf.float32], 65 "input_shape": [[1, 1, 5, 10], [1, 5, 1, 10]], 66 "axis": [[0], [3, 0], [-2, 0, 3, 2]], 67 "fully_quantize": [True], 68 }] 69 70 def build_graph(parameters): 71 input_tensor = tf.compat.v1.placeholder( 72 dtype=parameters["dtype"], 73 name="input", 74 shape=parameters["input_shape"]) 75 out = tf.squeeze(input_tensor, axis=parameters["axis"]) 76 return [input_tensor], [out] 77 78 def build_inputs(parameters, sess, inputs, outputs): 79 input_values = create_tensor_data( 80 parameters["dtype"], 81 parameters["input_shape"], 82 min_value=-1, 83 max_value=1) 84 return [input_values], sess.run( 85 outputs, feed_dict=dict(zip(inputs, [input_values]))) 86 87 make_zip_of_tests( 88 options, 89 test_parameters, 90 build_graph, 91 build_inputs, 92 expected_tf_failures=20) 93