forked from huawei/mindspore2022
57 lines
1.8 KiB
C++
57 lines
1.8 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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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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*/
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#include "device/gpu/gpu_device_address.h"
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#include <vector>
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#include "device/gpu/gpu_device_manager.h"
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#include "utils/log_adapter.h"
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#include "utils/context/ms_context.h"
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#include "device/gpu/gpu_memory_allocator.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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bool GPUDeviceAddress::SyncDeviceToHost(const std::vector<int> &, size_t size, TypeId, void *host_ptr) const {
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MS_EXCEPTION_IF_NULL(host_ptr);
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if (size != size_) {
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MS_LOG(WARNING) << "SyncDeviceToHost ignored, host size: " << size << ", device size " << size_;
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return true;
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}
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return GPUDeviceManager::GetInstance().CopyDeviceMemToHost(host_ptr, ptr_, size_);
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}
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bool GPUDeviceAddress::SyncHostToDevice(const std::vector<int> &, size_t, TypeId, const void *host_ptr) const {
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MS_EXCEPTION_IF_NULL(host_ptr);
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return GPUDeviceManager::GetInstance().CopyHostMemToDevice(ptr_, host_ptr, size_);
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}
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GPUDeviceAddress::~GPUDeviceAddress() {
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if (ptr_ == nullptr) {
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return;
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}
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auto ms_context = MsContext::GetInstance();
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MS_EXCEPTION_IF_NULL(ms_context);
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if (from_mem_pool_) {
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GPUMemoryAllocator::GetInstance().FreeTensorMem(ptr_);
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ptr_ = nullptr;
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}
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}
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} // namespace gpu
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} // namespace device
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} // namespace mindspore
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