-
Notifications
You must be signed in to change notification settings - Fork 5.6k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Use cuda virtual memory management and merge blocks (#36189)
* Use cuda virtual memory management and merge blocks, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * window dll, test=develop * fix cuda error of CUDA_ERROR_NOT_INITIALIZED, test=develop * use autogrowthv2 for system allocator, test=develop * remove ~CUDAVirtualMemAllocator(), test=develop * refine, test=develop * fix cuda error of CUDA_ERROR_NOT_INITIALIZED, test=develop * fix cuda error of CUDA_ERROR_NOT_INITIALIZED, test=develop * fix bug, test=develop * revert system allocator, test =develop * revert multiprocessing, test=develop * fix AutoGrowthBestFitAllocatorV2 mutxt, test=develop * catch cudaErrorInitializationError when create allocator, test=develop * fix cuMemSetAccess use, test=develop * refine cuda api use, test=develop * refine, test=develop * for test, test=develop * for test, test=develop * switch to v2, test=develop * refine virtual allocator, test=develop * Record cuMemCreate and cuMemRelease, test=develop * refine, test=develop * avoid out of bounds, test=develop * rename allocator, test=develop * refine, test=develop * use PADDLE_ENFORCE_CUDA_SUCCESS, test=develop * for test,test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * refine, test=develop
- Loading branch information
1 parent
472dcca
commit a1ec1d5
Showing
15 changed files
with
785 additions
and
9 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
225 changes: 225 additions & 0 deletions
225
paddle/fluid/memory/allocation/cuda_virtual_mem_allocator.cc
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,225 @@ | ||
| // Copyright (c) 2021 PaddlePaddle 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. | ||
|
|
||
| #ifdef PADDLE_WITH_CUDA | ||
| #include <cuda.h> | ||
| #include <cuda_runtime.h> | ||
| #endif | ||
|
|
||
| #include <string> | ||
| #include "paddle/fluid/memory/allocation/cuda_virtual_mem_allocator.h" | ||
| #include "paddle/fluid/platform/enforce.h" | ||
|
|
||
| #ifdef PADDLE_WITH_CUDA | ||
| #include "paddle/fluid/platform/cuda_device_guard.h" | ||
| #include "paddle/fluid/platform/dynload/cuda_driver.h" | ||
| #include "paddle/fluid/platform/gpu_info.h" | ||
| #endif | ||
| #if CUDA_VERSION >= 10020 | ||
|
|
||
| namespace paddle { | ||
| namespace memory { | ||
| namespace allocation { | ||
|
|
||
| CUDAVirtualMemAllocator::CUDAVirtualMemAllocator( | ||
| const platform::CUDAPlace& place) | ||
| : place_(place) { | ||
| CUmemAllocationProp prop = {}; | ||
|
|
||
| // Setup the properties common for all the chunks | ||
| // The allocations will be device pinned memory. | ||
| // This property structure describes the physical location where the memory | ||
| // will be allocated via cuMemCreate allong with additional properties In this | ||
| // case, the allocation will be pinnded device memory local to a given device. | ||
| prop.type = CU_MEM_ALLOCATION_TYPE_PINNED; | ||
| prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE; | ||
| prop.location.id = place.device; | ||
| prop_ = prop; | ||
|
|
||
| // Prepare the access descriptor array indicating where and how the backings | ||
| // should be visible. | ||
| access_desc_.resize(platform::GetCUDADeviceCount()); | ||
| for (int dev_id = 0; dev_id < platform::GetCUDADeviceCount(); ++dev_id) { | ||
| if (place.device != dev_id) { | ||
| int capable = 0; | ||
| PADDLE_ENFORCE_CUDA_SUCCESS( | ||
| cudaDeviceCanAccessPeer(&capable, place.device, dev_id)); | ||
| if (!capable) { | ||
| continue; | ||
| } | ||
| } | ||
| // Specify which device we are adding mappings for. | ||
| access_desc_[dev_id].location.type = CU_MEM_LOCATION_TYPE_DEVICE; | ||
| access_desc_[dev_id].location.id = dev_id; | ||
|
|
||
| // Specify both read and write access. | ||
| access_desc_[dev_id].flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE; | ||
| } | ||
|
|
||
| // Get the minimum granularity needed for all devices | ||
| // (the max of the minimum granularity of each participating device) | ||
| granularity_ = 0; | ||
| for (int dev_id = 0; dev_id < platform::GetCUDADeviceCount(); ++dev_id) { | ||
| size_t granularity; | ||
| prop.location.id = dev_id; | ||
| PADDLE_ENFORCE_CUDA_SUCCESS( | ||
| paddle::platform::dynload::cuMemGetAllocationGranularity( | ||
| &granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM)); | ||
| granularity_ = std::max(granularity, granularity_); | ||
| } | ||
|
|
||
| size_t actual_avail, actual_total; | ||
| paddle::platform::CUDADeviceGuard guard(place.device); | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(cudaMemGetInfo(&actual_avail, &actual_total)); | ||
|
|
||
| virtual_mem_size_ = AlignedSize(actual_total, granularity_); | ||
|
|
||
| // Reserve the required contiguous virtual address space for the allocations | ||
| // The maximum video memory size we can apply for is the video memory size of | ||
| // GPU, | ||
| // so the virtual address space size we reserve is equal to the GPU video | ||
| // memory size | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(paddle::platform::dynload::cuMemAddressReserve( | ||
| &virtual_mem_base_, virtual_mem_size_, 0, 0, 0)); | ||
|
|
||
| virtual_mem_alloced_offset_ = 0; | ||
| } | ||
|
|
||
| bool CUDAVirtualMemAllocator::IsAllocThreadSafe() const { return false; } | ||
|
|
||
| void CUDAVirtualMemAllocator::FreeImpl(Allocation* allocation) { | ||
| PADDLE_ENFORCE_EQ( | ||
| BOOST_GET_CONST(platform::CUDAPlace, allocation->place()), place_, | ||
| platform::errors::PermissionDenied( | ||
| "GPU memory is freed in incorrect device. This may be a bug")); | ||
|
|
||
| auto iter = virtual_2_physical_map_.find( | ||
| reinterpret_cast<CUdeviceptr>(allocation->ptr())); | ||
| if (iter == virtual_2_physical_map_.end()) { | ||
| PADDLE_THROW(platform::errors::InvalidArgument( | ||
| "Can not find virtual memory address at %s", allocation->ptr())); | ||
| } | ||
|
|
||
| int prev_id; | ||
| cudaGetDevice(&prev_id); | ||
| if (prev_id != place_.device) { | ||
| cudaSetDevice(place_.device); | ||
| } | ||
|
|
||
| auto result = | ||
| paddle::platform::dynload::cuMemUnmap(iter->first, iter->second.second); | ||
| if (result != CUDA_ERROR_DEINITIALIZED) { | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(result); | ||
| } | ||
|
|
||
| if (result != CUDA_ERROR_DEINITIALIZED) { | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(platform::RecordedCuMemRelease( | ||
| iter->second.first, iter->second.second, place_.device)); | ||
| } | ||
|
|
||
| if (prev_id != place_.device) { | ||
| cudaSetDevice(prev_id); | ||
| } | ||
|
|
||
| virtual_2_physical_map_.erase(iter); | ||
|
|
||
| delete allocation; | ||
| } | ||
|
|
||
| Allocation* CUDAVirtualMemAllocator::AllocateImpl(size_t size) { | ||
| size = AlignedSize(size, granularity_); | ||
|
|
||
| CUdeviceptr ptr = virtual_mem_base_ + virtual_mem_alloced_offset_; | ||
|
|
||
| if (ptr + size > virtual_mem_base_ + virtual_mem_size_) { | ||
| PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted( | ||
| "\n\nOut of memory error on GPU Virtual Memory %d. " | ||
| "Cannot allocate %s memory on GPU Virtual Memory %d, %s memory has " | ||
| "been allocated and " | ||
| "available memory is only %s.\n\n" | ||
| "Please decrease the batch size of your model.\n\n", | ||
| place_.device, string::HumanReadableSize(size), place_.device, | ||
| string::HumanReadableSize(virtual_mem_alloced_offset_), | ||
| string::HumanReadableSize(virtual_mem_size_ - | ||
| virtual_mem_alloced_offset_), | ||
| place_.device)); | ||
| return nullptr; | ||
| } | ||
|
|
||
| CUmemGenericAllocationHandle handle; | ||
|
|
||
| paddle::platform::CUDADeviceGuard guard(place_.device); | ||
|
|
||
| // Create physical memory backing allocation. | ||
| auto result = | ||
| platform::RecordedCuMemCreate(&handle, size, &prop_, 0, place_.device); | ||
|
|
||
| if (result != CUDA_SUCCESS) { | ||
| if (result == CUDA_ERROR_OUT_OF_MEMORY) { | ||
| size_t actual_avail, actual_total; | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(cudaMemGetInfo(&actual_avail, &actual_total)); | ||
| size_t actual_allocated = actual_total - actual_avail; | ||
|
|
||
| PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted( | ||
| "\n\nOut of memory error on GPU %d. " | ||
| "Cannot allocate %s memory on GPU %d, %s memory has been allocated " | ||
| "and " | ||
| "available memory is only %s.\n\n" | ||
| "Please check whether there is any other process using GPU %d.\n" | ||
| "1. If yes, please stop them, or start PaddlePaddle on another GPU.\n" | ||
| "2. If no, please decrease the batch size of your model.\n\n", | ||
| place_.device, string::HumanReadableSize(size), place_.device, | ||
| string::HumanReadableSize(actual_allocated), | ||
| string::HumanReadableSize(actual_avail), place_.device)); | ||
| } else { | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(result); | ||
| } | ||
| return nullptr; | ||
| } | ||
|
|
||
| // Assign the chunk to the appropriate VA range and release the handle. | ||
| // After mapping the memory, it can be referenced by virtual address. | ||
| // The allocation will be kept live until it is unmapped. | ||
| result = paddle::platform::dynload::cuMemMap(ptr, size, 0, handle, 0); | ||
|
|
||
| if (result != CUDA_SUCCESS) { | ||
| platform::RecordedCuMemRelease(handle, size, place_.device); | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(result); | ||
| return nullptr; | ||
| } | ||
|
|
||
| // Apply the access descriptors to the whole VA range. | ||
| result = paddle::platform::dynload::cuMemSetAccess( | ||
| ptr, size, access_desc_.data(), access_desc_.size()); | ||
|
|
||
| if (result != CUDA_SUCCESS) { | ||
| paddle::platform::dynload::cuMemUnmap(ptr, size); | ||
| platform::RecordedCuMemRelease(handle, size, place_.device); | ||
| PADDLE_ENFORCE_CUDA_SUCCESS(result); | ||
| return nullptr; | ||
| } | ||
|
|
||
| virtual_2_physical_map_.emplace(ptr, std::make_pair(handle, size)); | ||
|
|
||
| virtual_mem_alloced_offset_ += size; | ||
|
|
||
| return new Allocation(reinterpret_cast<void*>(ptr), size, | ||
| platform::Place(place_)); | ||
| } | ||
|
|
||
| } // namespace allocation | ||
| } // namespace memory | ||
| } // namespace paddle | ||
|
|
||
| #endif |
62 changes: 62 additions & 0 deletions
62
paddle/fluid/memory/allocation/cuda_virtual_mem_allocator.h
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,62 @@ | ||
| // Copyright (c) 2021 PaddlePaddle 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. | ||
|
|
||
| #pragma once | ||
|
|
||
| #ifdef PADDLE_WITH_CUDA | ||
| #include <cuda_runtime.h> | ||
| #include "paddle/fluid/platform/cuda_device_guard.h" | ||
| #endif | ||
|
|
||
| #include <mutex> // NOLINT | ||
| #include "paddle/fluid/memory/allocation/allocator.h" | ||
| #include "paddle/fluid/platform/place.h" | ||
|
|
||
| #if CUDA_VERSION >= 10020 | ||
|
|
||
| namespace paddle { | ||
| namespace memory { | ||
| namespace allocation { | ||
|
|
||
| // Allocate memory using NVIDIA's virtual memory management technology | ||
| class CUDAVirtualMemAllocator : public Allocator { | ||
| public: | ||
| explicit CUDAVirtualMemAllocator(const platform::CUDAPlace& place); | ||
|
|
||
| bool IsAllocThreadSafe() const override; | ||
|
|
||
| protected: | ||
| void FreeImpl(Allocation* allocation) override; | ||
| Allocation* AllocateImpl(size_t size) override; | ||
|
|
||
| private: | ||
| platform::CUDAPlace place_; | ||
|
|
||
| CUdeviceptr virtual_mem_base_; | ||
| size_t virtual_mem_size_; | ||
| size_t virtual_mem_alloced_offset_; | ||
| size_t granularity_; | ||
|
|
||
| CUmemAllocationProp prop_; | ||
| std::vector<CUmemAccessDesc> access_desc_; | ||
|
|
||
| std::map<CUdeviceptr, std::pair<CUmemGenericAllocationHandle, size_t>> | ||
| virtual_2_physical_map_; | ||
| }; | ||
|
|
||
| } // namespace allocation | ||
| } // namespace memory | ||
| } // namespace paddle | ||
|
|
||
| #endif |
Oops, something went wrong.