mmdeploy/csrc/device/cuda/default_allocator.h

70 lines
2.1 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#ifndef MMDEPLOY_SRC_DEVICE_CUDA_DEFAULT_ALLOCATOR_H_
#define MMDEPLOY_SRC_DEVICE_CUDA_DEFAULT_ALLOCATOR_H_
#include <cuda_runtime.h>
#include <atomic>
#include <chrono>
#include "core/logger.h"
namespace mmdeploy::cuda {
class DefaultAllocator {
public:
DefaultAllocator() = default;
~DefaultAllocator() {
ERROR("=== CUDA Default Allocator ===");
ERROR(" Allocation: count={}, size={}MB, time={}ms", alloc_count_,
alloc_size_ / (1024 * 1024.f), alloc_time_ / 1000000.f);
ERROR("Deallocation: count={}, size={}MB, time={}ms", dealloc_count_,
dealloc_size_ / (1024 * 1024.f), dealloc_time_ / 1000000.f);
}
[[nodiscard]] void* Allocate(std::size_t n) {
void* p{};
auto t0 = std::chrono::high_resolution_clock::now();
auto ret = cudaMalloc(&p, n);
auto t1 = std::chrono::high_resolution_clock::now();
alloc_time_ += (int64_t)std::chrono::duration<double, std::nano>(t1 - t0).count();
if (ret != cudaSuccess) {
ERROR("error allocating cuda memory: {}", cudaGetErrorString(ret));
return nullptr;
}
alloc_count_ += 1;
alloc_size_ += n;
return p;
}
void Deallocate(void* p, std::size_t n) {
(void)n;
auto t0 = std::chrono::high_resolution_clock::now();
auto ret = cudaFree(p);
auto t1 = std::chrono::high_resolution_clock::now();
dealloc_time_ += (int64_t)std::chrono::duration<double, std::nano>(t1 - t0).count();
if (ret != cudaSuccess) {
ERROR("error deallocating cuda memory: {}", cudaGetErrorString(ret));
return;
}
dealloc_count_ += 1;
dealloc_size_ += n;
}
private:
std::atomic<std::size_t> alloc_count_;
std::atomic<std::size_t> alloc_size_;
std::atomic<std::size_t> alloc_time_;
std::atomic<std::size_t> dealloc_count_;
std::atomic<std::size_t> dealloc_size_;
std::atomic<std::size_t> dealloc_time_;
};
inline DefaultAllocator& gDefaultAllocator() {
static DefaultAllocator v;
return v;
}
} // namespace mmdeploy::cuda
#endif // MMDEPLOY_SRC_DEVICE_CUDA_DEFAULT_ALLOCATOR_H_