/* * Copyright (c) 2023-2024 Arm Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #if defined(__aarch64__) #include "arm_compute/runtime/NEON/functions/NEReorderLayer.h" #include "arm_compute/runtime/Tensor.h" #include "tests/NEON/Accessor.h" #include "tests/datasets/ReorderLayerDataset.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" #include "tests/validation/Validation.h" #include "tests/validation/fixtures/ReorderFixture.h" #include "src/core/NEON/kernels/NEReorderKernel.h" #include "src/core/NEON/kernels/arm_gemm/utils.hpp" namespace arm_compute { namespace test { namespace validation { using framework::dataset::make; TEST_SUITE(NEON) TEST_SUITE(ReorderLayer) template using NEReorderLayerAlias = ReorderValidationFixture; TEST_SUITE(FP32) #if defined(ARM_COMPUTE_ENABLE_SVE) DATA_TEST_CASE(ValidateReorderOHWIo8, framework::DatasetMode::ALL, combine( zip( make("InShape",{ TensorShape(10U, 9U), TensorShape(234U, 301U) }), make("OutShape", { TensorShape(10U, 16U), TensorShape(234U, 304U) }) ), zip( make("InputWeightFormat", {WeightFormat::OHWI}), make("OutputWeightFormat", {WeightFormat::OHWIo8}) )), input_shape, output_shape, input_wf, output_wf) { if(Scheduler::get().cpu_info().has_sve()){ arm_compute::NEReorderLayer reorder_layer; int vector_length = arm_gemm::utils::get_vector_length(); bool expected_bool_status = false; if (vector_length == 8) { expected_bool_status = true; } TensorInfo input_tensor_info(input_shape, 1, DataType::F32); TensorInfo output_tensor_info(output_shape, 1, DataType::F32); Status status = reorder_layer.validate(&input_tensor_info, &output_tensor_info, input_wf, output_wf); ARM_COMPUTE_EXPECT((expected_bool_status == bool(status)), framework::LogLevel::ERRORS); } } FIXTURE_DATA_TEST_CASE(RunBlock8, NEReorderLayerAlias, framework::DatasetMode::ALL, combine(datasets::ReorderLayerDatasetBlock8(), make("DataType", DataType::F32))) { // Validate output if (_hardware_supports) { validate(Accessor(_target), _reference); } } #endif // ARM_COMPUTE_ENABLE_SVE FIXTURE_DATA_TEST_CASE(RunBlock4, NEReorderLayerAlias, framework::DatasetMode::ALL, combine(datasets::ReorderLayerDatasetBlock4(), make("DataType", DataType::F32))) { // Validate output validate(Accessor(_target), _reference); } TEST_SUITE_END() // FP32 TEST_SUITE_END() // ReorderLayer TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute #endif // defined(__aarch64__)