Files
composable_kernel/driver/include/device.hpp
Chao Liu b8b2d0a6d1 DL GEMM fp32/fp16/int8 (#41)
* add threadwise copy the copy a tensor in one copy, added kpack to DL GEMM

* add kpack into fwd v4r5 nchw fp32
2021-07-04 22:50:29 -05:00

127 lines
3.0 KiB
C++

#ifndef DEVICE_HPP
#define DEVICE_HPP
#include <memory>
#include "config.hpp"
struct DeviceMem
{
DeviceMem() = delete;
DeviceMem(std::size_t mem_size);
void* GetDeviceBuffer();
void ToDevice(const void* p);
void FromDevice(void* p);
~DeviceMem();
void* mpDeviceBuf;
std::size_t mMemSize;
};
struct KernelTimerImpl;
struct KernelTimer
{
KernelTimer();
~KernelTimer();
void Start();
void End();
float GetElapsedTime() const;
std::unique_ptr<KernelTimerImpl> impl;
};
#if CK_DEVICE_BACKEND_AMD
using device_stream_t = hipStream_t;
template <typename... Args, typename F>
void launch_kernel(F kernel,
dim3 grid_dim,
dim3 block_dim,
std::size_t lds_byte,
hipStream_t stream_id,
Args... args)
{
hipLaunchKernelGGL(kernel, grid_dim, block_dim, lds_byte, stream_id, args...);
}
template <typename... Args, typename F>
float launch_and_time_kernel(F kernel,
int nrepeat,
dim3 grid_dim,
dim3 block_dim,
std::size_t lds_byte,
hipStream_t stream_id,
Args... args)
{
KernelTimer timer;
printf("%s: grid_dim {%d, %d, %d}, block_dim {%d, %d, %d} \n",
__func__,
grid_dim.x,
grid_dim.y,
grid_dim.z,
block_dim.x,
block_dim.y,
block_dim.z);
printf("Warm up\n");
// warm up
hipLaunchKernelGGL(kernel, grid_dim, block_dim, lds_byte, stream_id, args...);
printf("Start running %d times...\n", nrepeat);
timer.Start();
for(int i = 0; i < nrepeat; ++i)
{
hipLaunchKernelGGL(kernel, grid_dim, block_dim, lds_byte, stream_id, args...);
}
timer.End();
return timer.GetElapsedTime() / nrepeat;
}
#elif CK_DEVICE_BACKEND_NVIDIA
using device_stream_t = cudaStream_t;
template <typename... Args, typename F>
void launch_kernel(F kernel,
dim3 grid_dim,
dim3 block_dim,
std::size_t lds_byte,
cudaStream_t stream_id,
Args... args)
{
const void* f = reinterpret_cast<const void*>(kernel);
void* p_args[] = {&args...};
cudaError_t error = cudaLaunchKernel(f, grid_dim, block_dim, p_args, lds_byte, stream_id);
}
template <typename... Args, typename F>
float launch_and_time_kernel(F kernel,
dim3 grid_dim,
dim3 block_dim,
std::size_t lds_byte,
cudaStream_t stream_id,
Args... args)
{
KernelTimer timer;
const void* f = reinterpret_cast<const void*>(kernel);
void* p_args[] = {&args...};
timer.Start();
cudaError_t error = cudaLaunchKernel(f, grid_dim, block_dim, p_args, lds_byte, stream_id);
timer.End();
return timer.GetElapsedTime();
}
#endif
#endif