1 files changed, 106 insertions, 0 deletions
diff --git a/compiler/luci-interpreter/src/kernels/Select.test.cpp b/compiler/luci-interpreter/src/kernels/Select.test.cpp
new file mode 100644
index 000000000..f74d18dc4
--- /dev/null
+++ b/compiler/luci-interpreter/src/kernels/Select.test.cpp
@@ -0,0 +1,106 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "kernels/Select.h"
+#include "kernels/TestUtils.h"
+
+#include "luci_interpreter/TestMemoryManager.h"
+
+namespace luci_interpreter
+{
+namespace kernels
+{
+namespace
+{
+
+using namespace testing;
+
+class SelectTest : public ::testing::Test
+{
+protected:
+  void SetUp() override { _memory_manager = std::make_unique<TestMemoryManager>(); }
+
+  std::unique_ptr<IMemoryManager> _memory_manager;
+};
+
+std::vector<unsigned char> c_data{
+  1, 1, 1, // Row 1
+  0, 0, 0, // Row 2
+};
+
+std::vector<float> t_data{
+  0.5, 0.7, 0.9, // Row 1
+  1,   0,   -1,  // Row 2
+};
+
+std::vector<float> e_data{
+  0.9, 0.7, 0.5, // Row 1
+  -1,  0,   1,   // Row 2
+};
+
+std::vector<float> ref_output_data{
+  0.5, 0.7, 0.9, // Row 1
+  -1,  0,   1,   // Row 2
+};
+
+TEST_F(SelectTest, FloatSimple)
+{
+  Tensor c_tensor = makeInputTensor<DataType::BOOL>({2, 3}, c_data, _memory_manager.get());
+  Tensor t_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, t_data, _memory_manager.get());
+  Tensor e_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, e_data, _memory_manager.get());
+  Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
+
+  Select kernel(&c_tensor, &t_tensor, &e_tensor, &output_tensor);
+  kernel.configure();
+  _memory_manager->allocate_memory(output_tensor);
+  kernel.execute();
+
+  EXPECT_THAT(extractTensorData<float>(output_tensor),
+              ::testing::ElementsAreArray(ref_output_data));
+  EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({2, 3}));
+}
+
+TEST_F(SelectTest, Invalid_C_Type_NEG)
+{
+  std::vector<float> i_c_data{
+    1, 1, 1, // Row 1
+    0, 0, 0, // Row 2
+  };
+
+  Tensor c_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, i_c_data, _memory_manager.get());
+  Tensor t_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, t_data, _memory_manager.get());
+  Tensor e_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, e_data, _memory_manager.get());
+  Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
+
+  Select kernel(&c_tensor, &t_tensor, &e_tensor, &output_tensor);
+  EXPECT_ANY_THROW(kernel.configure());
+}
+
+TEST_F(SelectTest, Invalid_O_Type_NEG)
+{
+  Tensor c_tensor = makeInputTensor<DataType::BOOL>({2, 3}, c_data, _memory_manager.get());
+  Tensor t_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, t_data, _memory_manager.get());
+  Tensor e_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, e_data, _memory_manager.get());
+  Tensor output_tensor = makeOutputTensor(DataType::BOOL);
+
+  Select kernel(&c_tensor, &t_tensor, &e_tensor, &output_tensor);
+  EXPECT_ANY_THROW(kernel.configure());
+}
+
+} // namespace
+} // namespace kernels
+} // namespace luci_interpreter