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Copy pathdevices.cc
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238 lines (222 loc) · 6.2 KB
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/*
Copyright 2024 TensorArray-Creators
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
#include <cuda_runtime.h>
#include "devices.hh"
#include <cstdio>
#include <cstdlib>
#include <cassert>
#include <cstring>
#include <mutex>
namespace tensor_array
{
namespace devices
{
thread_local Device default_dev = DEVICE_CPU_0;
Device& local_device()
{
return default_dev;
}
void device_memcpy(void* dst, Device dst_dev, const void* src, Device src_dev, size_t count)
{
int temp;
if (dst_dev.dev_t == CPU && src_dev.dev_t == CPU)
std::memcpy(dst, src, count);
else if (dst_dev.dev_t == CUDA && src_dev.dev_t == CUDA)
assert(cudaMemcpyPeer(dst, dst_dev.index, src, src_dev.index, count) == cudaSuccess);
else if (dst_dev.dev_t == CPU && src_dev.dev_t == CUDA)
{
cudaError cudaStatus = cudaGetDevice(&temp);
cudaStatus = cudaSetDevice(src_dev.index);
cudaStatus = cudaMemcpy(dst, src, count, cudaMemcpyDeviceToHost);
cudaStatus = cudaSetDevice(temp);
}
else if (dst_dev.dev_t == CUDA && src_dev.dev_t == CPU)
{
cudaError cudaStatus = cudaGetDevice(&temp);
cudaStatus = cudaSetDevice(dst_dev.index);
cudaStatus = cudaMemcpy(dst, src, count, cudaMemcpyHostToDevice);
cudaStatus = cudaSetDevice(temp);
}
else
{
void* temp_data = std::malloc(count);
device_memcpy(temp_data, DEVICE_CPU_0, src, src_dev, count);
device_memcpy(dst, dst_dev, temp_data, DEVICE_CPU_0, count);
std::free(temp_data);
}
}
void device_memcpy(void* dst, Device dst_dev, const void* src, Device src_dev, size_t count, void* stream)
{
int temp;
if (dst_dev.dev_t == CPU && src_dev.dev_t == CPU)
std::memcpy(dst, src, count);
else if (dst_dev.dev_t == CUDA && src_dev.dev_t == CUDA)
assert(cudaMemcpyPeerAsync(dst, dst_dev.index, src, src_dev.index, count, static_cast<cudaStream_t>(stream)) == cudaSuccess);
else if (dst_dev.dev_t == CPU && src_dev.dev_t == CUDA)
{
cudaError cudaStatus = cudaGetDevice(&temp);
cudaStatus = cudaSetDevice(src_dev.index);
cudaStatus = cudaMemcpyAsync(dst, src, count, cudaMemcpyDeviceToHost, static_cast<cudaStream_t>(stream));
cudaStatus = cudaSetDevice(temp);
}
else if (dst_dev.dev_t == CUDA && src_dev.dev_t == CPU)
{
cudaError cudaStatus = cudaGetDevice(&temp);
cudaStatus = cudaSetDevice(dst_dev.index);
cudaStatus = cudaMemcpyAsync(dst, src, count, cudaMemcpyHostToDevice, static_cast<cudaStream_t>(stream));
cudaStatus = cudaSetDevice(temp);
}
else
{
void* temp_data = std::malloc(count);
device_memcpy(temp_data, DEVICE_CPU_0, src, src_dev, count, stream);
device_memcpy(dst, dst_dev, temp_data, DEVICE_CPU_0, count, stream);
std::free(temp_data);
}
}
void device_memset(void* dst, Device dst_dev, int value, size_t count)
{
int temp;
if (dst_dev.dev_t == CPU)
std::memset(dst, value, count);
else if (dst_dev.dev_t == CUDA)
{
cudaError cudaStatus = cudaGetDevice(&temp);
cudaStatus = cudaSetDevice(dst_dev.index);
cudaStatus = cudaMemset(dst, value, count);
cudaStatus = cudaSetDevice(temp);
}
else
{
}
}
void device_memset(void* dst, Device dst_dev, int value, size_t count, void* stream)
{
int temp;
if (dst_dev.dev_t == CPU)
std::memset(dst, value, count);
else if (dst_dev.dev_t == CUDA)
{
cudaError cudaStatus = cudaGetDevice(&temp);
cudaStatus = cudaSetDevice(dst_dev.index);
cudaStatus = cudaMemsetAsync(dst, value, count, static_cast<cudaStream_t>(stream));
cudaStatus = cudaSetDevice(temp);
}
else
{
}
}
void device_CUDA_get_info()
{
int temp;
cudaError cudaStatus = cudaGetDevice(&temp);
cudaDeviceProp prop;
cudaGetDeviceProperties(&prop, 0);
printf("Device name: %s\n", prop.name);
printf("Memory Clock Rate (KHz): %d\n",
prop.memoryClockRate);
printf("Memory Bus Width (bits): %d\n",
prop.memoryBusWidth);
printf("Peak Memory Bandwidth (GB/s): %f\n\n",
2.0 * prop.memoryClockRate * (prop.memoryBusWidth / 8) / 1.0e6);
}
}
}
void* operator new(size_t count, tensor_array::devices::Device dev)
{
int temp;
void* m_alloc_dat;
switch (dev.dev_t)
{
case tensor_array::devices::CPU:
m_alloc_dat = std::malloc(count);
break;
case tensor_array::devices::CUDA:
{
cudaError_t cuda_status = cudaGetDevice(&temp);
cuda_status = cudaSetDevice(dev.index);
cuda_status = cudaMalloc(&m_alloc_dat, count);
cuda_status = cudaSetDevice(temp);
}
break;
default:
throw 0;
break;
}
return m_alloc_dat;
}
void* operator new(size_t count, tensor_array::devices::Device dev, void* stream)
{
int temp;
void* m_alloc_dat;
switch (dev.dev_t)
{
case tensor_array::devices::CPU:
m_alloc_dat = std::malloc(count);
break;
case tensor_array::devices::CUDA:
{
cudaError_t cuda_status = cudaGetDevice(&temp);
cuda_status = cudaSetDevice(dev.index);
cuda_status = cudaMallocAsync(&m_alloc_dat, count, static_cast<cudaStream_t>(stream));
cuda_status = cudaSetDevice(temp);
}
break;
default:
throw 0;
break;
}
return m_alloc_dat;
}
void operator delete(void* data, tensor_array::devices::Device dev)
{
int temp;
switch (dev.dev_t)
{
case tensor_array::devices::CPU:
std::free(data);
break;
case tensor_array::devices::CUDA:
{
cudaGetDevice(&temp);
cudaSetDevice(dev.index);
cudaFree(data);
cudaSetDevice(temp);
}
break;
default:
throw 0;
break;
}
}
void operator delete(void* data, tensor_array::devices::Device dev, void* stream)
{
int temp;
switch (dev.dev_t)
{
case tensor_array::devices::CPU:
std::free(data);
break;
case tensor_array::devices::CUDA:
{
cudaGetDevice(&temp);
cudaSetDevice(dev.index);
cudaFreeAsync(data, static_cast<cudaStream_t>(stream));
cudaSetDevice(temp);
}
break;
default:
throw 0;
break;
}
}