/* * Copyright (c) 2017-2018 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. */ #include "arm_compute/runtime/TensorAllocator.h" #include "arm_compute/core/utils/misc/Utility.h" #include "arm_compute/runtime/MemoryGroup.h" #include "arm_compute/runtime/MemoryRegion.h" #include "support/ToolchainSupport.h" #include "tests/Utils.h" #include "tests/framework/Asserts.h" #include "tests/framework/Macros.h" namespace arm_compute { namespace test { namespace validation { TEST_SUITE(NEON) TEST_SUITE(UNIT) TEST_SUITE(TensorAllocator) TEST_CASE(ImportMemory, framework::DatasetMode::ALL) { // Init tensor info TensorInfo info(TensorShape(24U, 16U, 3U), 1, DataType::F32); // Allocate memory buffer const size_t total_size = info.total_size(); auto data = support::cpp14::make_unique(total_size); // Negative case : Import pointer with zero size Tensor t1; t1.allocator()->init(info); ARM_COMPUTE_EXPECT(!bool(t1.allocator()->import_memory(data.get(), 0)), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(t1.info()->is_resizable(), framework::LogLevel::ERRORS); // Negative case : Import nullptr Tensor t2; t2.allocator()->init(info); ARM_COMPUTE_EXPECT(!bool(t2.allocator()->import_memory(nullptr, total_size)), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(t2.info()->is_resizable(), framework::LogLevel::ERRORS); // Negative case : Import memory to a tensor that is memory managed Tensor t3; MemoryGroup mg; t3.allocator()->set_associated_memory_group(&mg); ARM_COMPUTE_EXPECT(!bool(t3.allocator()->import_memory(data.get(), total_size)), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(t3.info()->is_resizable(), framework::LogLevel::ERRORS); // Positive case : Set raw pointer Tensor t4; t4.allocator()->init(info); ARM_COMPUTE_EXPECT(bool(t4.allocator()->import_memory(data.get(), total_size)), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(!t4.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(t4.buffer() == reinterpret_cast(data.get()), framework::LogLevel::ERRORS); t4.allocator()->free(); ARM_COMPUTE_EXPECT(t4.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(t4.buffer() == nullptr, framework::LogLevel::ERRORS); } TEST_CASE(AlignedAlloc, framework::DatasetMode::ALL) { // Init tensor info TensorInfo info(TensorShape(24U, 16U, 3U), 1, DataType::F32); const size_t requested_alignment = 1024; Tensor t; t.allocator()->init(info, requested_alignment); t.allocator()->allocate(); ARM_COMPUTE_EXPECT(t.buffer() != nullptr, framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(t.allocator()->alignment() == requested_alignment, framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(arm_compute::utility::check_aligned(reinterpret_cast(t.buffer()), requested_alignment), framework::LogLevel::ERRORS); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute