Files
composable_kernel/test/magic_number_division/magic_number_division.cpp
Chao Liu 500fa99512 Clean up conv example, Instances, profiler and test (#324)
* convnd_fwd fp16 example

* update example

* update example

* update instance

* updating refernce conv

* update reference conv

* update conv fwd profiler

* update conv 1d and 3d instance

* update include path

* clean

* update profiler for conv bwd data and weight

* update conv bwd weight

* clean

* update conv example

* update profiler for conv bwd weight

* update ckprofiler for conv bwd data

* fix reference conv bwd data bug; update conv bwd data test

* update examples

* fix initialization issue

* update test for conv fwd

* clean

* clean

* remove test case too sensitive to error threshhold

* fix test

* clean

* fix build

* adding conv multiple d

* adding conv multiple D

* add matrix padder

* add gemm padding to convnd

* adding group conv

* update gemm multi-d

* refactor

* refactor

* refactor

* clean

* clean

* refactor

* refactor

* reorg

* add ds

* add bias

* clean

* add G

* adding group

* adding group

* adding group

* update Tensor

* clean

* update example

* update DeviceGemmMultipleD_Xdl_CShuffle

* update conv bwd-data and bwd-weight

* upate contraction example

* update gemm and batch gemm with e permute

* fix example build

* instance for grouped conv1d

* update example

* adding group conv instance

* update gemm bilinear instance

* update gemm+add+add+fastgelu instance

* update profiler

* update profiler

* update test

* update test and client example

* clean

* add grouped conv into profiler

* update profiler

* clean

* add test grouped conv, update all conv test to gtest

* update test
2022-07-29 18:19:25 -05:00

151 lines
4.7 KiB
C++

// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include <numeric>
#include <initializer_list>
#include <cstdlib>
#include "ck/ck.hpp"
#include "ck/utility/magic_division.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
__global__ void gpu_magic_number_division(uint32_t magic_multiplier,
uint32_t magic_shift,
const int32_t* p_dividend,
int32_t* p_result,
uint64_t num)
{
uint64_t global_thread_num = blockDim.x * gridDim.x;
uint64_t global_thread_id = blockIdx.x * blockDim.x + threadIdx.x;
for(uint64_t data_id = global_thread_id; data_id < num; data_id += global_thread_num)
{
p_result[data_id] =
ck::MagicDivision::DoMagicDivision(p_dividend[data_id], magic_multiplier, magic_shift);
}
}
__global__ void
gpu_naive_division(int32_t divisor, const int32_t* p_dividend, int32_t* p_result, uint64_t num)
{
uint64_t global_thread_num = blockDim.x * gridDim.x;
uint64_t global_thread_id = blockIdx.x * blockDim.x + threadIdx.x;
for(uint64_t data_id = global_thread_id; data_id < num; data_id += global_thread_num)
{
p_result[data_id] = p_dividend[data_id] / divisor;
}
}
__host__ void cpu_magic_number_division(uint32_t magic_multiplier,
uint32_t magic_shift,
const int32_t* p_dividend,
int32_t* p_result,
uint64_t num)
{
for(uint64_t data_id = 0; data_id < num; ++data_id)
{
p_result[data_id] =
ck::MagicDivision::DoMagicDivision(p_dividend[data_id], magic_multiplier, magic_shift);
}
}
int main(int, char*[])
{
uint64_t num_divisor = 4096;
uint64_t num_dividend = 1L << 16;
std::vector<int32_t> divisors_host(num_divisor);
std::vector<int32_t> dividends_host(num_dividend);
// generate divisor
for(uint64_t i = 0; i < num_divisor; ++i)
{
divisors_host[i] = i + 1;
}
// generate dividend
for(uint64_t i = 0; i < num_divisor; ++i)
{
dividends_host[i] = i;
}
DeviceMem dividends_dev_buf(sizeof(int32_t) * num_dividend);
DeviceMem naive_result_dev_buf(sizeof(int32_t) * num_dividend);
DeviceMem magic_result_dev_buf(sizeof(int32_t) * num_dividend);
std::vector<int32_t> naive_result_host(num_dividend);
std::vector<int32_t> magic_result_host(num_dividend);
std::vector<int32_t> magic_result_host2(num_dividend);
dividends_dev_buf.ToDevice(dividends_host.data());
bool pass = true;
for(std::size_t i = 0; i < num_divisor; ++i)
{
// run naive division on GPU
gpu_naive_division<<<1024, 256>>>(
divisors_host[i],
static_cast<const int32_t*>(dividends_dev_buf.GetDeviceBuffer()),
static_cast<int32_t*>(naive_result_dev_buf.GetDeviceBuffer()),
num_dividend);
// calculate magic number
uint32_t magic_multiplier, magic_shift;
ck::tie(magic_multiplier, magic_shift) =
ck::MagicDivision::CalculateMagicNumbers(divisors_host[i]);
// run magic division on GPU
gpu_magic_number_division<<<1024, 256>>>(
magic_multiplier,
magic_shift,
static_cast<const int32_t*>(dividends_dev_buf.GetDeviceBuffer()),
static_cast<int32_t*>(magic_result_dev_buf.GetDeviceBuffer()),
num_dividend);
naive_result_dev_buf.FromDevice(naive_result_host.data());
magic_result_dev_buf.FromDevice(magic_result_host.data());
bool res = ck::utils::check_err(magic_result_host, naive_result_host);
if(!res)
{
pass = false;
continue;
}
cpu_magic_number_division(magic_multiplier,
magic_shift,
dividends_host.data(),
magic_result_host2.data(),
num_dividend);
res = ck::utils::check_err(magic_result_host2, naive_result_host);
if(!res)
{
pass = false;
continue;
}
}
if(pass)
{
std::cout << "test magic number division: Pass" << std::endl;
return 0;
}
else
{
std::cout << "test magic number division: Fail" << std::endl;
return -1;
}
}