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#include "caffe/common.hpp"
#include "caffe/syncedmem.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
SyncedMemory::SyncedMemory()
: cpu_ptr_(NULL), gpu_ptr_(NULL), size_(0), head_(UNINITIALIZED),
own_cpu_data_(false), cpu_malloc_use_cuda_(false), own_gpu_data_(false) {
#ifndef CPU_ONLY
#ifdef DEBUG
CUDA_CHECK(cudaGetDevice(&device_));
#endif
#endif
}
SyncedMemory::SyncedMemory(size_t size)
: cpu_ptr_(NULL), gpu_ptr_(NULL), size_(size), head_(UNINITIALIZED),
own_cpu_data_(false), cpu_malloc_use_cuda_(false), own_gpu_data_(false) {
#ifndef CPU_ONLY
#ifdef DEBUG
CUDA_CHECK(cudaGetDevice(&device_));
#endif
#endif
}
SyncedMemory::~SyncedMemory() {
check_device();
if (cpu_ptr_ && own_cpu_data_) {
CaffeFreeHost(cpu_ptr_, cpu_malloc_use_cuda_);
}
#ifndef CPU_ONLY
if (gpu_ptr_ && own_gpu_data_) {
CUDA_CHECK(cudaFree(gpu_ptr_));
}
#endif // CPU_ONLY
}
inline void SyncedMemory::to_cpu() {
check_device();
switch (head_) {
case UNINITIALIZED:
CaffeMallocHost(&cpu_ptr_, size_, &cpu_malloc_use_cuda_);
caffe_memset(size_, 0, cpu_ptr_);
head_ = HEAD_AT_CPU;
own_cpu_data_ = true;
break;
case HEAD_AT_GPU:
#ifndef CPU_ONLY
if (cpu_ptr_ == NULL) {
CaffeMallocHost(&cpu_ptr_, size_, &cpu_malloc_use_cuda_);
own_cpu_data_ = true;
}
caffe_gpu_memcpy(size_, gpu_ptr_, cpu_ptr_);
head_ = SYNCED;
#else
NO_GPU;
#endif
break;
case HEAD_AT_CPU:
case SYNCED:
break;
}
}
inline void SyncedMemory::to_gpu() {
check_device();
#ifndef CPU_ONLY
switch (head_) {
case UNINITIALIZED:
CUDA_CHECK(cudaMalloc(&gpu_ptr_, size_));
caffe_gpu_memset(size_, 0, gpu_ptr_);
head_ = HEAD_AT_GPU;
own_gpu_data_ = true;
break;
case HEAD_AT_CPU:
if (gpu_ptr_ == NULL) {
CUDA_CHECK(cudaMalloc(&gpu_ptr_, size_));
own_gpu_data_ = true;
}
caffe_gpu_memcpy(size_, cpu_ptr_, gpu_ptr_);
head_ = SYNCED;
break;
case HEAD_AT_GPU:
case SYNCED:
break;
}
#else
NO_GPU;
#endif
}
const void* SyncedMemory::cpu_data() {
check_device();
to_cpu();
return (const void*)cpu_ptr_;
}
void SyncedMemory::set_cpu_data(void* data) {
check_device();
CHECK(data);
if (own_cpu_data_) {
CaffeFreeHost(cpu_ptr_, cpu_malloc_use_cuda_);
}
cpu_ptr_ = data;
head_ = HEAD_AT_CPU;
own_cpu_data_ = false;
}
const void* SyncedMemory::gpu_data() {
check_device();
#ifndef CPU_ONLY
to_gpu();
return (const void*)gpu_ptr_;
#else
NO_GPU;
return NULL;
#endif
}
void SyncedMemory::set_gpu_data(void* data) {
check_device();
#ifndef CPU_ONLY
CHECK(data);
if (own_gpu_data_) {
CUDA_CHECK(cudaFree(gpu_ptr_));
}
gpu_ptr_ = data;
head_ = HEAD_AT_GPU;
own_gpu_data_ = false;
#else
NO_GPU;
#endif
}
void* SyncedMemory::mutable_cpu_data() {
check_device();
to_cpu();
head_ = HEAD_AT_CPU;
return cpu_ptr_;
}
void* SyncedMemory::mutable_gpu_data() {
check_device();
#ifndef CPU_ONLY
to_gpu();
head_ = HEAD_AT_GPU;
return gpu_ptr_;
#else
NO_GPU;
return NULL;
#endif
}
#ifndef CPU_ONLY
void SyncedMemory::async_gpu_push(const cudaStream_t& stream) {
check_device();
CHECK(head_ == HEAD_AT_CPU);
if (gpu_ptr_ == NULL) {
CUDA_CHECK(cudaMalloc(&gpu_ptr_, size_));
own_gpu_data_ = true;
}
const cudaMemcpyKind put = cudaMemcpyHostToDevice;
CUDA_CHECK(cudaMemcpyAsync(gpu_ptr_, cpu_ptr_, size_, put, stream));
// Assume caller will synchronize on the stream before use
head_ = SYNCED;
}
#endif
void SyncedMemory::check_device() {
#ifndef CPU_ONLY
#ifdef DEBUG
int device;
cudaGetDevice(&device);
CHECK(device == device_);
if (gpu_ptr_ && own_gpu_data_) {
cudaPointerAttributes attributes;
CUDA_CHECK(cudaPointerGetAttributes(&attributes, gpu_ptr_));
CHECK(attributes.device == device_);
}
#endif
#endif
}
} // namespace caffe