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Commit 67c6f73f authored by Chao Liu's avatar Chao Liu
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hip build

parent 121693b3
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Showing with 303 additions and 210 deletions
CMakeLists.txt
View file @ 67c6f73f
......@@ -5,6 +5,7 @@ project(modular_convolution)
enable_language(CXX)
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
message("CMAKE_CXX_COMPILER_ID: ${CMAKE_CXX_COMPILER_ID}")
#boost
......@@ -16,7 +17,7 @@ message("Boost_LIBRARY_DIRS: ${Boost_LIBRARY_DIRS}")
include_directories(BEFORE ${Boost_INCLUDE_DIRS})
link_directories(${Boost_LIBRARY_DIRS})
#openMP
#OpenMP
if( NOT( ${CMAKE_CXX_COMPILER_ID} STREQUAL "AppleClang") )
find_package(OpenMP REQUIRED)
......@@ -30,11 +31,20 @@ if( NOT( ${CMAKE_CXX_COMPILER_ID} STREQUAL "AppleClang") )
link_libraries(${OpenMP_pthread_LIBRARY})
endif( NOT( ${CMAKE_CXX_COMPILER_ID} STREQUAL "AppleClang") )
#cuda
enable_language(CUDA)
include_directories(BEFORE ${CUDA_COMMON_INCLUDE_DIR})
#GPU backend
if(DEVICE_BACKEND STREQUAL "HIP")
set(DEVICE_BACKEND_HIP 1)
set(CMAKE_MODULE_PATH "/opt/rocm/hip/cmake" ${CMAKE_MODULE_PATH})
find_package(HIP REQUIRED)
elseif(DEVICE_BACKEND STREQUAL "CUDA")
set(DEVICE_BACKEND_CUDA 1)
enable_language(CUDA)
include_directories(BEFORE ${CUDA_COMMON_INCLUDE_DIR})
endif()
#
include_directories(BEFORE src/include)
include_directories(BEFORE src/include ${PROJECT_BINARY_DIR}/src/include)
add_subdirectory(src)
add_subdirectory(driver)
build/cmake-hip.sh 0 → 100755
View file @ 67c6f73f
#!/bin/bash
rm -f CMakeCache.txt
rm -f *.cmake
rm -rf CMakeFiles
MY_PROJECT_SOURCE=/home/chao/code/modular_convolution
MY_PROJECT_INSTALL=../install.dir
cmake \
-D CMAKE_INSTALL_PREFIX=${MY_PROJECT_INSTALL} \
-D CMAKE_BUILD_TYPE=Release \
-D DEVICE_BACKEND="HIP" \
-D CMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc \
-D CMAKE_VERBOSE_MAKEFILE:BOOL=ON \
${MY_PROJECT_SOURCE}
driver/CMakeLists.txt
View file @ 67c6f73f
add_executable(conv conv.cu)
target_link_libraries(conv tensor device)
set(DRIVER_SOURCE driver.cpp)
add_executable(driver ${DRIVER_SOURCE})
target_link_libraries(driver PRIVATE tensor)
driver/device_direct_convolution_1.cuh
View file @ 67c6f73f
......@@ -54,39 +54,31 @@ void device_direct_convolution_1(InDesc,
(out_desc.GetLength(I2) / (OutTileSizeH * YPerBlock)) *
(out_desc.GetLength(I3) / (OutTileSizeW * XPerBlock));
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(gridwise_direct_convolution_1<T,
InDesc,
WeiDesc,
OutDesc,
OutTileSizeH,
OutTileSizeW,
NPerBlock,
KPerBlock,
CPerBlock,
YPerBlock,
XPerBlock,
NPerThread,
KPerThread,
CPerThread,
BlockSize,
GridSize>);
T* in_dev_ptr = static_cast<T*>(in_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
launch_kernel(f, grid_dim, block_dim, args, time);
float time = launch_kernel(gridwise_direct_convolution_1<T,
InDesc,
WeiDesc,
OutDesc,
OutTileSizeH,
OutTileSizeW,
NPerBlock,
KPerBlock,
CPerBlock,
YPerBlock,
XPerBlock,
NPerThread,
KPerThread,
CPerThread,
BlockSize,
GridSize>,
dim3(GridSize),
dim3(BlockSize),
static_cast<T*>(in_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_direct_convolution_2.cuh
View file @ 67c6f73f
......@@ -69,39 +69,31 @@ void device_direct_convolution_2(InDesc,
(out_desc.GetLength(I2) / (OutTileSizeH * YPerBlock)) *
(out_desc.GetLength(I3) / (OutTileSizeW * XPerBlock));
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(gridwise_direct_convolution_2<T,
InDesc,
WeiDesc,
OutDesc,
OutTileSizeH,
OutTileSizeW,
NPerBlock,
KPerBlock,
CPerBlock,
YPerBlock,
XPerBlock,
NPerThread,
KPerThread,
CPerThread,
BlockSize,
GridSize>);
T* in_dev_ptr = static_cast<T*>(in_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
launch_kernel(f, grid_dim, block_dim, args, time);
float time = launch_kernel(gridwise_direct_convolution_2<T,
InDesc,
WeiDesc,
OutDesc,
OutTileSizeH,
OutTileSizeW,
NPerBlock,
KPerBlock,
CPerBlock,
YPerBlock,
XPerBlock,
NPerThread,
KPerThread,
CPerThread,
BlockSize,
GridSize>,
dim3(GridSize),
dim3(BlockSize),
static_cast<T*>(in_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_implicit_gemm_convolution_1_chwn_csrk_khwn.cuh
View file @ 67c6f73f
......@@ -194,14 +194,11 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(
float time = launch_kernel(
gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn<GridSize,
BlockSize,
T,
......@@ -221,17 +218,12 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn(InDesc,
WeiBlockCopyThreadPerDim0,
WeiBlockCopyThreadPerDim1,
InBlockCopyDataPerRead,
WeiBlockCopyDataPerRead>);
T* in_dev_ptr = static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
launch_kernel(f, grid_dim, block_dim, args, time);
WeiBlockCopyDataPerRead>,
dim3(GridSize),
dim3(BlockSize),
static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_implicit_gemm_convolution_1_chwn_csrk_khwn_padded.cuh
View file @ 67c6f73f
......@@ -94,7 +94,7 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn_padded(InDesc,
constexpr unsigned WeiBlockCopyThreadPerDim1 = 1;
constexpr unsigned BlockSize = 8;
#elif 0
#elif 1
// for 3x3, 34x34 | 3x3 58x58, NKC = 64, 64, 256
constexpr unsigned NPerBlock = 16;
constexpr unsigned KPerBlock = 64;
......@@ -246,14 +246,11 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn_padded(InDesc,
((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(
float time = launch_kernel(
#if 0
gridwise_implicit_gemm_convolution_1_chwn_csrk_khwn_padded
#elif 1
......@@ -278,17 +275,13 @@ void device_implicit_gemm_convolution_1_chwn_csrk_khwn_padded(InDesc,
HoPerThread,
WoPerThread,
WeiBlockCopyThreadPerDim0,
WeiBlockCopyThreadPerDim1>);
T* in_dev_ptr = static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
WeiBlockCopyThreadPerDim1>,
dim3(GridSize),
dim3(BlockSize),
launch_kernel(f, grid_dim, block_dim, args, time);
static_cast<T*>(in_chwn_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_khwn_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_implicit_gemm_convolution_1_nchw_kcsr_nkhw.cuh
View file @ 67c6f73f
......@@ -52,39 +52,30 @@ void device_implicit_gemm_convolution_1_nchw_kcsr_nkhw(InDesc,
(out_desc.GetLength(I0) / NPerBlock) * (out_desc.GetLength(I1) / KPerBlock) *
(out_desc.GetLength(I2) / HoPerBlock) * (out_desc.GetLength(I3) / WoPerBlock);
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(
gridwise_implicit_gemm_convolution_1_nchw_kcsr_nkhw<GridSize,
BlockSize,
T,
InDesc,
WeiDesc,
OutDesc,
NPerBlock,
KPerBlock,
CPerBlock,
HoPerBlock,
WoPerBlock,
KPerThread,
CPerThread,
HoPerThread,
WoPerThread>);
T* in_dev_ptr = static_cast<T*>(in_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
launch_kernel(f, grid_dim, block_dim, args, time);
float time = launch_kernel(gridwise_implicit_gemm_convolution_1_nchw_kcsr_nkhw<GridSize,
BlockSize,
T,
InDesc,
WeiDesc,
OutDesc,
NPerBlock,
KPerBlock,
CPerBlock,
HoPerBlock,
WoPerBlock,
KPerThread,
CPerThread,
HoPerThread,
WoPerThread>,
dim3(GridSize),
dim3(BlockSize),
static_cast<T*>(in_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_implicit_gemm_convolution_1_nchw_srck_nkhw.cuh
View file @ 67c6f73f
......@@ -104,14 +104,11 @@ void device_implicit_gemm_convolution_1_nchw_srck_nkhw(InDesc,
((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(
float time = launch_kernel(
gridwise_implicit_gemm_convolution_1_nchw_srck_nkhw<GridSize,
BlockSize,
T,
......@@ -127,17 +124,12 @@ void device_implicit_gemm_convolution_1_nchw_srck_nkhw(InDesc,
KPerThread,
CPerThread,
HoPerThread,
WoPerThread>);
T* in_dev_ptr = static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_srck_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
launch_kernel(f, grid_dim, block_dim, args, time);
WoPerThread>,
dim3(GridSize),
dim3(BlockSize),
static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_srck_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_implicit_gemm_convolution_2_cnhw_csrk_knhw.cuh
View file @ 67c6f73f
......@@ -195,9 +195,6 @@ void device_implicit_gemm_convolution_2_cnhw_csrk_knhw(InDesc,
constexpr unsigned GridSize =
((N * Hi * Wi + BPerBlock - 1) / BPerBlock) * ((K + KPerBlock - 1) / KPerBlock);
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
// mem
......@@ -213,7 +210,7 @@ void device_implicit_gemm_convolution_2_cnhw_csrk_knhw(InDesc,
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(
float time = launch_kernel(
#if 0
gridwise_implicit_gemm_convolution_2_cnhw_csrk_knhw
#else
......@@ -244,17 +241,12 @@ void device_implicit_gemm_convolution_2_cnhw_csrk_knhw(InDesc,
WeiBlockCopyThreadPerDim0,
WeiBlockCopyThreadPerDim1,
InBlockCopyDataPerRead,
WeiBlockCopyDataPerRead>);
T* in_dev_ptr = static_cast<T*>(in_cnhw_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_knhw_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time;
launch_kernel(f, grid_dim, block_dim, args, time);
WeiBlockCopyDataPerRead>,
dim3(GridSize),
dim3(BlockSize),
static_cast<T*>(in_cnhw_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_csrk_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_knhw_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/device_implicit_gemm_convolution_2_cnhw_srck_knhw.cuh
View file @ 67c6f73f
......@@ -123,9 +123,6 @@ void device_implicit_gemm_convolution_2_cnhw_srck_knhw(InDesc,
constexpr unsigned GridSize =
((N * Hi * Wi + BPerBlock - 1) / BPerBlock) * ((K + KPerBlock - 1) / KPerBlock);
dim3 block_dim(BlockSize);
dim3 grid_dim(GridSize);
printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);
// mem
......@@ -141,7 +138,7 @@ void device_implicit_gemm_convolution_2_cnhw_srck_knhw(InDesc,
for(unsigned i = 0; i < nrepeat; ++i)
{
const void* f = reinterpret_cast<const void*>(
float time = launch_kernel(
#if 1
gridwise_implicit_gemm_convolution_2_cnhw_srck_knhw
#else
......@@ -162,17 +159,13 @@ void device_implicit_gemm_convolution_2_cnhw_srck_knhw(InDesc,
GemmThreadPerColumnPerCluster,
GemmThreadPerRowPerCluster,
InBlockCopyThreadPerDim0,
InBlockCopyThreadPerDim1>);
T* in_dev_ptr = static_cast<T*>(in_cnhw_device_buf.GetDeviceBuffer());
T* wei_dev_ptr = static_cast<T*>(wei_srck_device_buf.GetDeviceBuffer());
T* out_dev_ptr = static_cast<T*>(out_knhw_device_buf.GetDeviceBuffer());
void* args[] = {&in_dev_ptr, &wei_dev_ptr, &out_dev_ptr};
float time = 0;
InBlockCopyThreadPerDim1>,
dim3(GridSize),
dim3(BlockSize),
launch_kernel(f, grid_dim, block_dim, args, time);
static_cast<T*>(in_cnhw_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_srck_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_knhw_device_buf.GetDeviceBuffer()));
printf("Elapsed time : %f ms\n", time);
usleep(std::min(time * 1000, float(10000)));
......
driver/conv.cu → driver/driver.cpp
View file @ 67c6f73f
......@@ -2,6 +2,7 @@
#include <numeric>
#include <initializer_list>
#include <cstdlib>
#include "config.h"
#include "tensor.hpp"
#include "ConstantTensorDescriptor.cuh"
#include "conv_common.cuh"
......@@ -49,7 +50,7 @@ struct GeneratorTensor_3
std::initializer_list<std::size_t> ids = {static_cast<std::size_t>(is)...};
std::vector<std::size_t> lens(sizeof...(Is), 100);
std::vector<std::size_t> strides(sizeof...(Is), 1);
std::partial_sum(lens.rbegin(), lens.rbegin() + (sizeof...(Is) - 1), strides.rbegin() + 1);
std::partial_sum(lens.rbegin(), lens.rbegin() + (sizeof...(Is)-1), strides.rbegin() + 1);
return std::inner_product(ids.begin(), ids.end(), strides.begin(), std::size_t(0)) + 1;
#endif
}
......@@ -339,7 +340,7 @@ void host_winograd_3x3_convolution(
std::size_t ho = OutTileSizeH * y + j;
for(int i = 0; i < OutTileSizeW; ++i)
{
std::size_t wo = OutTileSizeW * x + i;
std::size_t wo = OutTileSizeW * x + i;
out(n, k, ho, wo) = out_hold(n, k, y, x, j, i);
}
}
......@@ -392,13 +393,13 @@ int main()
constexpr unsigned WPad = 0;
#elif 0
// 3x3, 34x34
constexpr unsigned N = 64;
constexpr unsigned C = 256;
constexpr unsigned N = 64;
constexpr unsigned C = 256;
constexpr unsigned HI = 34;
constexpr unsigned WI = 34;
constexpr unsigned K = 64;
constexpr unsigned S = 3;
constexpr unsigned R = 3;
constexpr unsigned K = 64;
constexpr unsigned S = 3;
constexpr unsigned R = 3;
constexpr unsigned HPad = 0;
constexpr unsigned WPad = 0;
......@@ -601,7 +602,7 @@ int main()
#endif
(in_nchw_desc, in_nchw, wei_kcsr_desc, wei_kcsr, out_nkhw_desc, out_nkhw_device, nrepeat);
#elif 0
#elif 1
device_implicit_gemm_convolution_1_chwn_csrk_khwn_padded(in_nchw_desc,
in_nchw,
wei_kcsr_desc,
......
src/CMakeLists.txt
View file @ 67c6f73f
configure_file("${PROJECT_SOURCE_DIR}/src/include/config.h.in" "${PROJECT_BINARY_DIR}/src/include/config.h")
set(TENSOR_SOURCE
tensor.cpp;
device.cpp;
)
add_library(tensor SHARED ${TENSOR_SOURCE})
set_target_properties(tensor PROPERTIES PREFIX "")
target_compile_features(tensor PUBLIC)
set_target_properties(tensor PROPERTIES POSITION_INDEPENDENT_CODE ON)
install(TARGETS tensor LIBRARY DESTINATION lib)
set(DEVICE_SOURCE
device.cu;
)
if(DEVICE_BACKEND STREQUAL "CUDA")
target_link_libraries(device nvToolsExt cudart)
endif()
add_library(device SHARED ${DEVICE_SOURCE})
set_target_properties(device PROPERTIES PREFIX "")
target_compile_features(device PUBLIC)
set_target_properties(device PROPERTIES POSITION_INDEPENDENT_CODE ON)
install(TARGETS device LIBRARY DESTINATION lib)
target_link_libraries(device nvToolsExt cudart)
install(TARGETS tensor LIBRARY DESTINATION lib)
src/device.cu → src/device.cpp
View file @ 67c6f73f
#include "config.h"
#include "device.hpp"
#include "cuda_runtime.h"
#include "nvToolsExt.h"
#include "helper_cuda.h"
DeviceMem::DeviceMem(std::size_t mem_size) : mMemSize(mem_size)
{
#if DEVICE_BACKEND_HIP
hipGetErrorString(hipMalloc(static_cast<void**>(&mpDeviceBuf), mMemSize));
#elif DEVICE_BACKEND_CUDA
checkCudaErrors(cudaMalloc(static_cast<void**>(&mpDeviceBuf), mMemSize));
#endif
}
void* DeviceMem::GetDeviceBuffer() { return mpDeviceBuf; }
void DeviceMem::ToDevice(const void* p)
{
#if DEVICE_BACKEND_HIP
hipGetErrorString(
hipMemcpy(mpDeviceBuf, const_cast<void*>(p), mMemSize, hipMemcpyHostToDevice));
#elif DEVICE_BACKEND_CUDA
checkCudaErrors(
cudaMemcpy(mpDeviceBuf, const_cast<void*>(p), mMemSize, cudaMemcpyHostToDevice));
#endif
}
void DeviceMem::FromDevice(void* p)
{
#if DEVICE_BACKEND_HIP
hipGetErrorString(hipMemcpy(p, mpDeviceBuf, mMemSize, hipMemcpyDeviceToHost));
#elif DEVICE_BACKEND_CUDA
checkCudaErrors(cudaMemcpy(p, mpDeviceBuf, mMemSize, cudaMemcpyDeviceToHost));
#endif
}
DeviceMem::~DeviceMem() { checkCudaErrors(cudaFree(mpDeviceBuf)); }
DeviceMem::~DeviceMem()
{
#if DEVICE_BACKEND_HIP
hipGetErrorString(hipFree(mpDeviceBuf));
#elif DEVICE_BACKEND_CUDA
checkCudaErrors(cudaFree(mpDeviceBuf));
#endif
}
struct KernelTimerImpl
{
KernelTimerImpl()
{
#if DEVICE_BACKEND_HIP
hipEventCreate(&mStart);
hipEventCreate(&mEnd);
#elif DEVICE_BACKEND_CUDA
cudaEventCreate(&mStart);
cudaEventCreate(&mEnd);
#endif
}
~KernelTimerImpl()
{
#if DEVICE_BACKEND_HIP
hipEventDestroy(mStart);
hipEventDestroy(mEnd);
#elif DEVICE_BACKEND_CUDA
cudaEventDestroy(mStart);
cudaEventDestroy(mEnd);
#endif
}
void Start() { cudaEventRecord(mStart, 0); }
void Start()
{
#if DEVICE_BACKEND_HIP
hipEventRecord(mStart, 0);
#elif DEVICE_BACKEND_CUDA
cudaEventRecord(mStart, 0);
#endif
}
void End()
{
#if DEVICE_BACKEND_HIP
hipEventRecord(mEnd, 0);
hipEventSynchronize(mEnd);
#elif DEVICE_BACKEND_CUDA
cudaEventRecord(mEnd, 0);
cudaEventSynchronize(mEnd);
#endif
}
float GetElapsedTime() const
{
float time;
#if DEVICE_BACKEND_HIP
hipEventElapsedTime(&time, mStart, mEnd);
#elif DEVICE_BACKEND_CUDA
cudaEventElapsedTime(&time, mStart, mEnd);
#endif
return time;
}
#if DEVICE_BACKEND_HIP
hipEvent_t mStart, mEnd;
#elif DEVICE_BACKEND_CUDA
cudaEvent_t mStart, mEnd;
#endif
};
KernelTimer::KernelTimer() : impl(new KernelTimerImpl()) {}
......@@ -64,16 +112,3 @@ void KernelTimer::Start() { impl->Start(); }
void KernelTimer::End() { impl->End(); }
float KernelTimer::GetElapsedTime() const { return impl->GetElapsedTime(); }
void launch_kernel(const void* func, dim3 grid_dim, dim3 block_dim, void** args, float& time)
{
KernelTimer timer;
timer.Start();
cudaError_t error = cudaLaunchKernel(func, grid_dim, block_dim, args, 0, 0);
timer.End();
time = timer.GetElapsedTime();
checkCudaErrors(error);
}
src/include/blockwise_4d_tensor_op.cuh
View file @ 67c6f73f
......@@ -245,10 +245,11 @@ struct BlockwiseChwnTensorCopyPadded
constexpr unsigned NLoop = ref_desc.GetElementSize() / BlockSize;
const Float* p_src_tmp =
p_src + src_desc.Get1dIndex(c_block_data_begin,
(ho_block_data_begin + h_block_pad_low) - h_global_pad_low,
(wo_block_data_begin + w_block_pad_low) - w_global_pad_low,
n_block_data_begin);
p_src +
src_desc.Get1dIndex(c_block_data_begin,
(ho_block_data_begin + h_block_pad_low) - h_global_pad_low,
(wo_block_data_begin + w_block_pad_low) - w_global_pad_low,
n_block_data_begin);
#if 0
if(get_thread_local_1d_id() == 0)
......
src/include/blockwise_direct_convolution.cuh
View file @ 67c6f73f
......@@ -95,10 +95,11 @@ __device__ void blockwise_direct_convolution(InBlockDesc,
Float p_out_thread[out_thread_desc.GetElementSpace()];
threadwise_4d_tensor_copy(out_block_desc,
p_out_block + out_block_desc.Get1dIndex(n_thread_data_begin,
k_thread_data_begin,
ho_thread_data_begin,
wo_thread_data_begin),
p_out_block +
out_block_desc.Get1dIndex(n_thread_data_begin,
k_thread_data_begin,
ho_thread_data_begin,
wo_thread_data_begin),
out_thread_desc,
p_out_thread,
out_thread_desc.GetLengths());
......@@ -109,10 +110,11 @@ __device__ void blockwise_direct_convolution(InBlockDesc,
// threadwise convolution
threadwise_direct_convolution_2(
in_thread_block_desc,
p_in_block + in_block_desc.Get1dIndex(n_thread_data_begin,
c_thread_data_begin,
hi_thread_data_begin,
wi_thread_data_begin),
p_in_block +
in_block_desc.Get1dIndex(n_thread_data_begin,
c_thread_data_begin,
hi_thread_data_begin,
wi_thread_data_begin),
wei_thread_block_desc,
p_wei_block +
wei_block_desc.Get1dIndex(k_thread_data_begin, c_thread_data_begin, 0, 0),
......@@ -124,10 +126,11 @@ __device__ void blockwise_direct_convolution(InBlockDesc,
threadwise_4d_tensor_copy(out_thread_desc,
p_out_thread,
out_block_desc,
p_out_block + out_block_desc.Get1dIndex(n_thread_data_begin,
k_thread_data_begin,
ho_thread_data_begin,
wo_thread_data_begin),
p_out_block +
out_block_desc.Get1dIndex(n_thread_data_begin,
k_thread_data_begin,
ho_thread_data_begin,
wo_thread_data_begin),
out_thread_desc.GetLengths());
}
}
src/include/blockwise_gemm.cuh
View file @ 67c6f73f
......@@ -305,8 +305,9 @@ struct BlockwiseGemmBlockABlockBThreadC
constexpr unsigned NClusterWork =
(NPerBlock + NPerThread * NThreadPerCluster - 1) / (NPerThread * NThreadPerCluster);
static_assert(BlockSize == (MClusterWork * MThreadPerCluster) *
(NClusterWork * NThreadPerCluster),
static_assert(BlockSize ==
(MClusterWork * MThreadPerCluster) *
(NClusterWork * NThreadPerCluster),
"wrong! wrong BlockSize");
if(DistributeThreadAlongColumnFirst)
......@@ -685,7 +686,7 @@ struct BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2
constexpr unsigned MRepeat = MPerThread / MPerThreadSubC;
constexpr unsigned NRepeat = NPerThread / NPerThreadSubC;
// preload A, B
// preload A, B
#pragma unroll
for(unsigned m_repeat = 0; m_repeat < MRepeat; ++m_repeat)
{ // copy A-sub to form A
......@@ -718,7 +719,7 @@ struct BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2
FloatA* p_a_thread_next = even_loop ? p_a_thread_1 : p_a_thread_0;
FloatB* p_b_thread_next = even_loop ? p_b_thread_1 : p_b_thread_0;
// preload next A, B
// preload next A, B
#pragma unroll
for(unsigned m_repeat = 0; m_repeat < MRepeat; ++m_repeat)
{ // copy A-sub to form A
......@@ -906,8 +907,9 @@ struct BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2
p_b_thread + b_thread_mtx.Get1dIndex(0, n_repeat * NPerThreadSubC),
c_thread_sub_mtx,
False,
p_c_thread + c_thread_mtx.Get1dIndex(m_repeat * MPerThreadSubC,
n_repeat * NPerThreadSubC),
p_c_thread +
c_thread_mtx.Get1dIndex(m_repeat * MPerThreadSubC,
n_repeat * NPerThreadSubC),
f_accum);
}
}
......
src/include/common.cuh
View file @ 67c6f73f
......@@ -62,4 +62,4 @@ struct Sequence
printf("Sequence::ReorderByPutOldToNew not implemented");
assert(false);
}
};
\ No newline at end of file
};
src/include/config.h.in 0 → 100644
View file @ 67c6f73f
#pragma once
#cmakedefine01 DEVICE_BACKEND_HIP
#cmakedefine01 DEVICE_BACKEND_CUDA
#if DEVICE_BACKEND_HIP
#include "hip/hip_runtime.h"
#elif DEVICE_BACKEND_CUDA
#include "cuda_runtime.h"
#include "nvToolsExt.h"
#include "helper_cuda.h"
#endif
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