chore: import upstream snapshot with attribution
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/core/memory/allocation/system_allocator.h"
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#include <gtest/gtest.h>
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#include <memory>
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#include "paddle/common/flags.h"
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#include "paddle/phi/core/memory/allocation/allocator.h"
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#include "paddle/phi/core/platform/device/device_wrapper.h"
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COMMON_DECLARE_bool(use_pinned_memory);
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void TestAllocator(paddle::memory::detail::SystemAllocator* a, size_t size) {
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bool freed = false;
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{
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size_t index; // NOLINT
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void* p = a->Alloc(&index, size);
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if (size > 0) {
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EXPECT_NE(p, nullptr);
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} else {
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EXPECT_EQ(p, nullptr);
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}
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int* i = static_cast<int*>(p);
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std::shared_ptr<int> ptr(i, [&](void* p) {
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freed = true;
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a->Free(p, size, index);
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});
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}
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EXPECT_TRUE(freed);
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}
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TEST(CPUAllocator, NoLockMem) {
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FLAGS_use_pinned_memory = false;
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paddle::memory::detail::CPUAllocator a;
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TestAllocator(&a, 2048);
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TestAllocator(&a, 0);
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}
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TEST(CPUAllocator, LockMem) {
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FLAGS_use_pinned_memory = true;
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paddle::memory::detail::CPUAllocator a;
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TestAllocator(&a, 2048);
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TestAllocator(&a, 0);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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TEST(GPUAllocator, Alloc) {
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paddle::memory::detail::GPUAllocator a(0);
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TestAllocator(&a, 2048);
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TestAllocator(&a, 0);
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}
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TEST(CUDAPinnedAllocator, Alloc) {
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paddle::memory::detail::CUDAPinnedAllocator a;
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TestAllocator(&a, 2048);
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TestAllocator(&a, 0);
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}
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TEST(GPUAllocator, AllocFailure) {
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paddle::memory::detail::GPUAllocator allocator(0);
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size_t index;
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size_t alloc_size = (static_cast<size_t>(1) << 40); // Very large number
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try {
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allocator.Alloc(&index, alloc_size);
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ASSERT_TRUE(false);
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} catch (paddle::memory::allocation::BadAlloc&) {
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PADDLE_ENFORCE_GPU_SUCCESS(paddle::platform::GpuGetLastError());
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}
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}
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#endif
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