wehub-resource-sync
61 lines
1.7 KiB
C++
61 lines
1.7 KiB
C++
// Copyright (c) 2021 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 "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/framework/variable.h"
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#include "paddle/phi/core/platform/device/gpu/gpu_info.h"
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#include "paddle/phi/core/platform/timer.h"
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namespace paddle {
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namespace framework {
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namespace interpreter {
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struct CostInfo {
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double total_time{0.}; // ms
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size_t device_memory_bytes{0}; // total allocated memory size
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};
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class ProfilerGuard {
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public:
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ProfilerGuard(const Place& place, CostInfo* cost_info)
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: place_(place), cost_info_(cost_info) {
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timer_.Start();
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}
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~ProfilerGuard() {
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timer_.Pause();
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cost_info_->total_time += timer_.ElapsedMS();
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TotalCUDAAllocatedMemorySize(place_);
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}
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private:
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void TotalCUDAAllocatedMemorySize(const Place& place) {
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if (phi::is_gpu_place(place)) {
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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auto cuda_place = place;
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cost_info_->device_memory_bytes =
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platform::RecordedGpuMallocSize(cuda_place.device);
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#endif
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}
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}
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const Place& place_;
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CostInfo* cost_info_;
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platform::Timer timer_;
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};
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} // namespace interpreter
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} // namespace framework
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} // namespace paddle
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