1# Copyright 2020 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 operators.""" 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 26def _make_shape_to_strided_slice_test(options, 27 test_parameters, 28 expected_tf_failures=0): 29 """Utility function to make shape_to_strided_slice_tests.""" 30 31 def build_graph(parameters): 32 """Build graph for shape_stride_slice test.""" 33 input_tensor = tf.compat.v1.placeholder( 34 dtype=parameters["dtype"], 35 name="input", 36 shape=parameters["dynamic_input_shape"]) 37 begin = parameters["begin"] 38 end = parameters["end"] 39 strides = parameters["strides"] 40 tensors = [input_tensor] 41 out = tf.strided_slice( 42 tf.shape(input_tensor), 43 begin, 44 end, 45 strides, 46 begin_mask=parameters["begin_mask"], 47 end_mask=parameters["end_mask"]) 48 return tensors, [out] 49 50 def build_inputs(parameters, sess, inputs, outputs): 51 """Build inputs for stride_slice test.""" 52 input_values = create_tensor_data( 53 parameters["dtype"], 54 parameters["input_shape"], 55 min_value=-1, 56 max_value=1) 57 values = [input_values] 58 59 return values, sess.run(outputs, feed_dict=dict(zip(inputs, values))) 60 61 make_zip_of_tests( 62 options, 63 test_parameters, 64 build_graph, 65 build_inputs, 66 expected_tf_failures=expected_tf_failures) 67 68 69@register_make_test_function() 70def make_shape_to_strided_slice_tests(options): 71 """Make a set of tests to do shape op into strided_slice.""" 72 73 test_parameters = [ 74 # Test dynamic shape into strided slice quantization works. 75 { 76 "dtype": [tf.float32], 77 "dynamic_input_shape": [[None, 2, 2, 5]], 78 "input_shape": [[12, 2, 2, 5]], 79 "strides": [[1]], 80 "begin": [[0]], 81 "end": [[1]], 82 "begin_mask": [0], 83 "end_mask": [0], 84 "fully_quantize": [False, True], 85 "dynamic_range_quantize": [False], 86 }, 87 { 88 "dtype": [tf.float32], 89 "dynamic_input_shape": [[None, 2, 2, 5]], 90 "input_shape": [[12, 2, 2, 5]], 91 "strides": [[1]], 92 "begin": [[0]], 93 "end": [[1]], 94 "begin_mask": [0], 95 "end_mask": [0], 96 "fully_quantize": [False], 97 "dynamic_range_quantize": [True], 98 }, 99 ] 100 _make_shape_to_strided_slice_test( 101 options, test_parameters, expected_tf_failures=0) 102