/* * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved * Copyright 2019 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/SpaceToDepth.h" #include "kernels/TestUtils.h" #include "luci_interpreter/TestMemoryManager.h" namespace luci_interpreter { namespace kernels { namespace { using namespace testing; template class SpaceToDepthTest : public ::testing::Test { }; using DataTypes = ::testing::Types; TYPED_TEST_SUITE(SpaceToDepthTest, DataTypes); TYPED_TEST(SpaceToDepthTest, SimpleCase) { std::unique_ptr memory_manager = std::make_unique(); constexpr DataType element_type = getElementType(); std::vector input_data{1, 5, 6, 7, 2, 3, 4, 8}; Shape input_shape{1, 2, 2, 2}; Tensor input_tensor = makeInputTensor(input_shape, input_data, memory_manager.get()); std::vector output_data{1, 5, 6, 7, 2, 3, 4, 8}; std::vector output_shape{1, 1, 1, 8}; Tensor output_tensor = makeOutputTensor(element_type); SpaceToDepthParams params{}; params.block_size = 2; SpaceToDepth kernel(&input_tensor, &output_tensor, params); kernel.configure(); memory_manager->allocate_memory(output_tensor); kernel.execute(); EXPECT_THAT(extractTensorData(output_tensor), ::testing::ElementsAreArray(output_data)); EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray(output_shape)); } } // namespace } // namespace kernels } // namespace luci_interpreter