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 gather.""" 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@register_make_test_function() 27def make_gather_tests(options): 28 """Make a set of tests to do gather.""" 29 30 test_parameters = [ 31 { 32 "params_dtype": [tf.float32, tf.int32, tf.int64], 33 "params_shape": [[1, 2, 20]], 34 "indices_dtype": [tf.int32, tf.int64], 35 "indices_shape": [[3], [5]], 36 "axis": [-1, 0, 1], 37 "constant_params": [False, True], 38 }, 39 { 40 "params_dtype": [tf.string], 41 "params_shape": [[8]], 42 "indices_dtype": [tf.int32], 43 "indices_shape": [[3], [3, 2]], 44 "axis": [0], 45 "constant_params": [False, True], 46 } 47 ] 48 49 def build_graph(parameters): 50 """Build the gather op testing graph.""" 51 inputs = [] 52 53 if parameters["constant_params"]: 54 params = create_tensor_data(parameters["params_dtype"], 55 parameters["params_shape"]) 56 else: 57 params = tf.compat.v1.placeholder( 58 dtype=parameters["params_dtype"], 59 name="params", 60 shape=parameters["params_shape"]) 61 inputs.append(params) 62 63 indices = tf.compat.v1.placeholder( 64 dtype=parameters["indices_dtype"], 65 name="indices", 66 shape=parameters["indices_shape"]) 67 inputs.append(indices) 68 axis = min(len(parameters["params_shape"]), parameters["axis"]) 69 out = tf.gather(params, indices, axis=axis) 70 return inputs, [out] 71 72 def build_inputs(parameters, sess, inputs, outputs): 73 input_values = [] 74 if not parameters["constant_params"]: 75 params = create_tensor_data(parameters["params_dtype"], 76 parameters["params_shape"]) 77 input_values.append(params) 78 indices = create_tensor_data(parameters["indices_dtype"], 79 parameters["indices_shape"], 0, 80 parameters["params_shape"][0] - 1) 81 input_values.append(indices) 82 return input_values, sess.run( 83 outputs, feed_dict=dict(zip(inputs, input_values))) 84 85 make_zip_of_tests( 86 options, 87 test_parameters, 88 build_graph, 89 build_inputs, 90 expected_tf_failures=0) 91