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 strided_slice_np_style.""" 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# TODO(b/137615945): Expand the test coverage of this one and remove the old 27# ones. 28@register_make_test_function() 29def make_strided_slice_np_style_tests(options): 30 """Make a set of tests to test strided_slice in np style.""" 31 32 test_parameters = [ 33 { 34 "dtype": [tf.float32], 35 "shape": [[12, 7], [33, 1]], 36 "spec": [[slice(3, 7, 2), slice(None)], 37 [tf.newaxis, 38 slice(3, 7, 1), tf.newaxis, 39 slice(None)], [slice(1, 5, 1), slice(None)]], 40 }, 41 # 1-D case 42 { 43 "dtype": [tf.float32], 44 "shape": [[44]], 45 "spec": [[slice(3, 7, 2)], [tf.newaxis, slice(None)]], 46 }, 47 # Shrink mask. 48 { 49 "dtype": [tf.float32], 50 "shape": [[21, 15, 7]], 51 "spec": [[slice(3, 7, 2), slice(None), 2]], 52 }, 53 # Ellipsis 3d. 54 { 55 "dtype": [tf.float32], 56 "shape": [[21, 15, 7]], 57 "spec": [[slice(3, 7, 2), Ellipsis], [Ellipsis, 58 slice(3, 7, 2)], 59 [slice(1, 11, 3), Ellipsis, 60 slice(3, 7, 2)]], 61 }, 62 # Ellipsis 4d. 63 { 64 "dtype": [tf.float32], 65 "shape": [[21, 15, 7, 9]], 66 "spec": [[slice(3, 7, 2), Ellipsis], [Ellipsis, 67 slice(3, 7, 2)], 68 [slice(1, 11, 3), Ellipsis, 69 slice(3, 7, 2)]], 70 }, 71 # Ellipsis 5d. 72 { 73 "dtype": [tf.float32], 74 "shape": [[11, 21, 15, 7, 9]], 75 "spec": [[ 76 slice(3, 7, 2), 77 slice(None), 78 slice(None), 79 slice(None), 80 slice(None) 81 ], [Ellipsis, slice(3, 7, 2)]], 82 }, 83 # Ellipsis + Shrink Mask 84 { 85 "dtype": [tf.float32], 86 "shape": [[22, 15, 7]], 87 "spec": [[2, # shrink before ellipsis 88 Ellipsis], 89 [Ellipsis, # shrink after ellipsis 90 2]], 91 }, 92 # Ellipsis + New Axis Mask 93 { 94 "dtype": [tf.float32], 95 "shape": [[23, 15, 7]], 96 "spec": [[tf.newaxis, # new_axis before ellipsis 97 slice(3, 7, 2), 98 slice(None), Ellipsis], 99 [tf.newaxis, # new_axis after (and before) ellipsis 100 slice(3, 7, 2), 101 slice(None), Ellipsis, tf.newaxis]], 102 }, 103 ] 104 105 def build_graph(parameters): 106 """Build a simple graph with np style strided_slice.""" 107 input_value = tf.compat.v1.placeholder( 108 dtype=parameters["dtype"], shape=parameters["shape"]) 109 out = input_value.__getitem__(parameters["spec"]) 110 return [input_value], [out] 111 112 def build_inputs(parameters, sess, inputs, outputs): 113 input_value = create_tensor_data(parameters["dtype"], parameters["shape"]) 114 return [input_value], sess.run( 115 outputs, feed_dict=dict(zip(inputs, [input_value]))) 116 117 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 118