wehub-resource-sync
44 lines
1.6 KiB
C++
44 lines
1.6 KiB
C++
// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/allocator.h"
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#include "paddle/phi/core/memory/allocation/cuda_virtual_mem_allocator.h"
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#include "paddle/phi/core/memory/allocation/retry_allocator.h"
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#include "paddle/phi/core/memory/allocation/virtual_memory_auto_growth_best_fit_allocator.h"
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#include "paddle/phi/core/platform/device/gpu/gpu_info.h"
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#ifdef PADDLE_WITH_CUDA
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#include <cuda.h>
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#include <cuda_runtime.h>
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#endif
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#include "gtest/gtest.h"
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namespace paddle {
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namespace memory {
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namespace allocation {
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TEST(VirtualMemoryAutoGrowthBestFitAllocator, TestCompact) {
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auto vmm_cuda_allocator =
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std::make_shared<CUDAVirtualMemAllocator>(phi::GPUPlace());
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auto vma_allocator =
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std::make_shared<VirtualMemoryAutoGrowthBestFitAllocator>(
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vmm_cuda_allocator, platform::GpuMinChunkSize(), phi::GPUPlace());
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size_t mb = (1 << 20);
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vma_allocator->Allocate(1 * mb);
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vma_allocator->Allocate(2 * mb);
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vma_allocator->Compact(phi::GPUPlace());
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}
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} // namespace allocation
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} // namespace memory
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} // namespace paddle
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