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_with_constant.""" 16from __future__ import absolute_import 17from __future__ import division 18from __future__ import print_function 19 20import numpy as np 21import tensorflow.compat.v1 as tf 22from tensorflow.lite.testing.zip_test_utils import create_tensor_data 23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests 24from tensorflow.lite.testing.zip_test_utils import register_make_test_function 25 26 27@register_make_test_function() 28def make_gather_with_constant_tests(options): 29 """Make a set of test which feed a constant to gather toco.""" 30 31 test_parameters = [{ 32 "input_shape": [[3]], 33 "reference_shape": [[2]], 34 }, { 35 "input_shape": [[2, 3]], 36 "reference_shape": [[2, 3]], 37 }] 38 39 def build_graph(parameters): 40 """Build a graph where the inputs to Gather are constants.""" 41 reference = tf.compat.v1.placeholder( 42 dtype=tf.int32, shape=parameters["reference_shape"]) 43 gather_input = tf.constant( 44 create_tensor_data(tf.int32, parameters["input_shape"])) 45 gather_indices = tf.constant([0, 1], tf.int32) 46 out = tf.equal(reference, tf.gather(gather_input, gather_indices)) 47 return [reference], [out] 48 49 def build_inputs(parameters, sess, inputs, outputs): 50 reference_values = np.zeros(parameters["reference_shape"], dtype=np.int32) 51 return [reference_values], sess.run( 52 outputs, feed_dict={inputs[0]: reference_values}) 53 54 make_zip_of_tests(options, test_parameters, build_graph, build_inputs) 55