wehub-resource-sync
76 lines
2.5 KiB
C++
76 lines
2.5 KiB
C++
// Copyright (c) 2023 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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#pragma once
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#include <chrono>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#include "paddle/common/enforce.h"
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#include "paddle/common/errors.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/device_context.h"
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#include "paddle/phi/core/platform/device_event_base.h"
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#include "paddle/phi/core/tensor_utils.h"
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namespace paddle {
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namespace distributed {
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class AsyncLoad {
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public:
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class Task {
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public:
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explicit Task(const Place& place);
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virtual ~Task();
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bool IsCompleted();
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void CudaSynchronize();
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void CpuSynchronize();
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void UpdateWaitChain(const phi::DeviceContext& ctx);
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private:
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platform::DeviceEvent load_event_; // event on offload stream
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Place task_place_;
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};
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std::shared_ptr<AsyncLoad::Task> Offload(DenseTensor* dst,
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const DenseTensor& src);
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std::shared_ptr<AsyncLoad::Task> OffloadWithOffset(DenseTensor* dst,
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const DenseTensor& src,
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size_t dst_offset,
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size_t src_offset,
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size_t offload_size);
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void PrepareLoadEnv(const std::string& key, const Place& place);
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void SyncCalcStream(const Place& place,
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phi::GPUContext* ctx,
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platform::DeviceEvent& calc_event); // NOLINT
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std::shared_ptr<AsyncLoad::Task> Reload(DenseTensor* dst,
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const DenseTensor& src);
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private:
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std::unordered_map<std::string, platform::DeviceEvent>
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place_to_calc_event_; // event on calc stream
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bool is_initialized_{false};
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std::unique_ptr<phi::GPUContext> load_ctx_;
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Place gpu_place_;
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std::shared_ptr<AsyncLoad::Task> CreateTask(const Place& place);
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};
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} // namespace distributed
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} // namespace paddle
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