2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2018 The TensorFlow Authors. All Rights Reserved.
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
9 * http://www.apache.org/licenses/LICENSE-2.0
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
18 #include "kernels/Select.h"
19 #include "kernels/TestUtils.h"
21 #include "luci_interpreter/TestMemoryManager.h"
23 namespace luci_interpreter
30 using namespace testing;
32 class SelectTest : public ::testing::Test
35 void SetUp() override { _memory_manager = std::make_unique<TestMemoryManager>(); }
37 std::unique_ptr<IMemoryManager> _memory_manager;
40 std::vector<unsigned char> c_data{
45 std::vector<float> t_data{
46 0.5, 0.7, 0.9, // Row 1
50 std::vector<float> e_data{
51 0.9, 0.7, 0.5, // Row 1
55 std::vector<float> ref_output_data{
56 0.5, 0.7, 0.9, // Row 1
60 TEST_F(SelectTest, FloatSimple)
62 Tensor c_tensor = makeInputTensor<DataType::BOOL>({2, 3}, c_data, _memory_manager.get());
63 Tensor t_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, t_data, _memory_manager.get());
64 Tensor e_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, e_data, _memory_manager.get());
65 Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
67 Select kernel(&c_tensor, &t_tensor, &e_tensor, &output_tensor);
69 _memory_manager->allocate_memory(output_tensor);
72 EXPECT_THAT(extractTensorData<float>(output_tensor),
73 ::testing::ElementsAreArray(ref_output_data));
74 EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({2, 3}));
77 TEST_F(SelectTest, Invalid_C_Type_NEG)
79 std::vector<float> i_c_data{
84 Tensor c_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, i_c_data, _memory_manager.get());
85 Tensor t_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, t_data, _memory_manager.get());
86 Tensor e_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, e_data, _memory_manager.get());
87 Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
89 Select kernel(&c_tensor, &t_tensor, &e_tensor, &output_tensor);
90 EXPECT_ANY_THROW(kernel.configure());
93 TEST_F(SelectTest, Invalid_O_Type_NEG)
95 Tensor c_tensor = makeInputTensor<DataType::BOOL>({2, 3}, c_data, _memory_manager.get());
96 Tensor t_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, t_data, _memory_manager.get());
97 Tensor e_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, e_data, _memory_manager.get());
98 Tensor output_tensor = makeOutputTensor(DataType::BOOL);
100 Select kernel(&c_tensor, &t_tensor, &e_tensor, &output_tensor);
101 EXPECT_ANY_THROW(kernel.configure());
105 } // namespace kernels
106 } // namespace luci_interpreter