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GemmDriver.cpp
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GemmDriver.cpp
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/* ************************************************************************
* Copyright (c) <2021> Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
* ************************************************************************ */
#include "utility.hpp"
#include <fstream>
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#ifdef VALIDATE
#include "blis_interface.hpp"
#include "validate.hpp"
#endif
template <typename T>
void BenchGemmStridedBatched(const Arguments& arg, std::promise<std::pair<double,double>> promise)
{
rocblas_int M = arg.M;
rocblas_int N = arg.N;
rocblas_int K = arg.K;
T h_alpha = arg.get_alpha<T>();
T h_beta = arg.get_beta<T>();
rocblas_int lda = arg.lda;
rocblas_int ldb = arg.ldb;
rocblas_int ldc = arg.ldc;
rocblas_stride stride_a = arg.stride_a;
rocblas_stride stride_b = arg.stride_b;
rocblas_stride stride_c = arg.stride_c;
rocblas_int batch_count = arg.batch_count;
rocblas_operation transA = char2rocblas_operation(arg.transA);
rocblas_operation transB = char2rocblas_operation(arg.transB);
rocblas_local_handle handle;
rocblas_int A_row = transA == rocblas_operation_none ? M : K;
rocblas_int A_col = transA == rocblas_operation_none ? K : M;
rocblas_int B_row = transB == rocblas_operation_none ? K : N;
rocblas_int B_col = transB == rocblas_operation_none ? N : K;
// Early exit
if(!M || !N || !batch_count)
return;
// check here to prevent undefined memory allocation error
if(M < 0 || N < 0 || K < 0 || lda < A_row || ldb < B_row || ldc < M || batch_count < 0)
{
rocblas_cout << "Invalid sizes...exiting" << std::endl;
exit(1);
}
rocblas_int reinit_c = arg.reinit_c && h_beta != 0;
rocblas_int time_each_iter = arg.time_each_iter || reinit_c;
double host_time;
double rocblas_gflops;
static double cpu_time_used, cblas_gflops;
int deviceId;
if(multi_device>1)
hipGetDevice(&deviceId);
double rocblas_error = 0.0;
size_t size_one_a
= transA == rocblas_operation_none ? size_t(K) * size_t(lda) : size_t(M) * size_t(lda);
size_t size_one_b
= transB == rocblas_operation_none ? size_t(N) * size_t(ldb) : size_t(K) * size_t(ldb);
size_t size_one_c = N * ldc;
size_t size_A = size_one_a + size_t(stride_a) * size_t(batch_count - 1);
size_t size_B = size_one_b + size_t(stride_b) * size_t(batch_count - 1);
size_t size_C = size_one_c + size_t(stride_c) * size_t(batch_count - 1);
// allocate memory on device
device_vector<T> dA(size_A);
device_vector<T> dB(size_B);
device_vector<T> dC(size_C);
device_vector<T> d_alpha(1);
device_vector<T> d_beta(1);
if((!dA && size_A) || (!dB && size_B) || (!dC && size_C) || !d_alpha || !d_beta)
{
CHECK_HIP_ERROR(hipErrorOutOfMemory);
return;
}
bool vChecks = (arg.unit_check || arg.norm_check);
bool transferOutput = (vChecks || storeOutputData);
// Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice
static host_vector<T> hA(size_A);
static host_vector<T> hB(size_B);
static host_vector<T> hC(size_C);
host_vector<T> hC_1(transferOutput ? size_C : 0);
static host_vector<T> hC_gold(vChecks ? size_C : 0);
static host_vector<T> hC_orig(arg.reinit_c ? size_C : 0);
// Initial Data on CPU
if((multi_device>1 && deviceId==0) || multi_device == 1)
{
if(arg.initialization == rocblas_initialization_random_int)
{
// Old
rocblas_seedrand();
rocblas_init<T>(hA, A_row, A_col, lda, stride_a, batch_count);
rocblas_init_alternating_sign<T>(hB, B_row, B_col, ldb, stride_b, batch_count);
if(rocblas_isnan(arg.beta))
rocblas_init_nan<T>(hC, M, N, ldc, stride_c, batch_count);
else
rocblas_init<T>(hC, M, N, ldc, stride_c, batch_count);
}
else if(arg.initialization == rocblas_initialization_random_narrow)
{
init_narrow_range_random_gemm<T>(transA,
transB,
M,
N,
K,
hA,
lda,
stride_a,
hB,
ldb,
stride_b,
hC,
ldc,
stride_c,
batch_count);
}
else if(arg.initialization == rocblas_initialization_random_broad)
{
init_broad_range_random_gemm<T>(transA,
transB,
M,
N,
K,
hA,
lda,
stride_a,
hB,
ldb,
stride_b,
hC,
ldc,
stride_c,
batch_count);
}
else if(arg.initialization == rocblas_initialization_random_full)
{
init_full_range_random_gemm<T>(transA,
transB,
M,
N,
K,
hA,
lda,
stride_a,
hB,
ldb,
stride_b,
hC,
ldc,
stride_c,
batch_count);
}
else if(arg.initialization == rocblas_initialization_const)
{
init_constant_gemm<T>(transA,
transB,
M,
N,
K,
hA,
lda,
stride_a,
hB,
ldb,
stride_b,
hC,
ldc,
stride_c,
batch_count,
arg.initVal);
}
else if(arg.initialization == rocblas_initialization_trig_float)
{
rocblas_init_sin<T>(hA, A_row, A_col, lda, stride_a, batch_count);
rocblas_init_cos<T>(hB, B_row, B_col, ldb, stride_b, batch_count);
if(rocblas_isnan(arg.beta))
rocblas_init_nan<T>(hC, M, N, ldc, stride_c, batch_count);
else
rocblas_init_sin<T>(hC, M, N, ldc, stride_c, batch_count);
}
else if(arg.initialization == rocblas_initialization_hpl)
{
rocblas_seedrand();
rocblas_init_hpl<T>(hA, A_row, A_col, lda, stride_a, batch_count);
rocblas_init_hpl<T>(hB, B_row, B_col, ldb, stride_b, batch_count);
if(rocblas_isnan(arg.beta))
rocblas_init_nan<T>(hC, M, N, ldc, stride_c, batch_count);
else
rocblas_init_hpl<T>(hC, M, N, ldc, stride_c, batch_count);
}
else if(arg.initialization == rocblas_initialization_file)
{
loadFromBin(transA,
transB,
M,
N,
K,
hA,
lda,
a_file,
hB,
ldb,
b_file,
hC,
ldc,
c_file,
batch_count);
}
if(vChecks)
hC_gold = hC;
if(reinit_c)
hC_orig = hC;
memBarrier.wait();
}
else
memBarrier.wait();
if(storeInitData)
{
storeInitToBin<T,T>(transA, transB, M, N, K, hA, lda, a_file, hB, ldb, b_file, hC, ldc, c_file, batch_count);
}
// copy data from CPU to device
CHECK_HIP_ERROR(hipMemcpy(dA, hA, sizeof(T) * size_A, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dB, hB, sizeof(T) * size_B, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dC, hC, sizeof(T) * size_C, hipMemcpyHostToDevice));
#ifdef VALIDATE
if(arg.norm_check)
{
// ROCBLAS rocblas_pointer_mode_host
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
CHECK_ROCBLAS_ERROR(rocblas_gemm_strided_batched<T>(handle,
transA,
transB,
M,
N,
K,
&h_alpha,
dA,
lda,
stride_a,
dB,
ldb,
stride_b,
&h_beta,
dC,
ldc,
stride_c,
batch_count));
CHECK_HIP_ERROR(hipMemcpy(hC_1, dC, sizeof(T) * size_C, hipMemcpyDeviceToHost));
// ROCBLAS rocblas_pointer_mode_device
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
CHECK_HIP_ERROR(hipMemcpy(dC, hC, sizeof(T) * size_C, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));
CHECK_ROCBLAS_ERROR(rocblas_gemm_strided_batched<T>(handle,
transA,
transB,
M,
N,
K,
d_alpha,
dA,
lda,
stride_a,
dB,
ldb,
stride_b,
d_beta,
dC,
ldc,
stride_c,
batch_count));
if(multi_device > 1 && deviceId!=0)
{
memBarrier2.wait(deviceId);
}
if(multi_device==1 || (multi_device > 1 && deviceId==0))
{
// CPU BLAS
cpu_time_used = get_time_us();
for(rocblas_int i = 0; i < batch_count; i++)
{
blis_gemm<T>(transA,
transB,
M,
N,
K,
h_alpha,
hA + stride_a * i,
lda,
hB + stride_b * i,
ldb,
h_beta,
hC_gold + stride_c * i,
ldc);
}
cpu_time_used = get_time_us() - cpu_time_used;
cblas_gflops = gemm_gflop_count<T>(M, N, K) * batch_count / cpu_time_used * 1e6;
if(multi_device > 1)
{
memBarrier2.wait(deviceId);
}
}
//releasing already used host memory
hA=host_vector<T>();
hB=host_vector<T>();
hC=host_vector<T>();
for(int i=0; i<2; i++)
{
if(arg.unit_check)
{
if(std::is_same<T, rocblas_half> {} && K > 10000)
{
// For large K, rocblas_half tends to diverge proportional to K
// Tolerance is slightly greater than 1 / 1024.0
const double tol = K * sum_error_tolerance<T>;
near_check_general<T>(M, N, batch_count, ldc, stride_c, hC_gold, hC_1, tol);
}
else
{
unit_check_general<T>(M, N, batch_count, ldc, stride_c, hC_gold, hC_1);
}
}
if(arg.norm_check)
{
double error
= fabs(norm_check_general<T>('F', M, N, ldc, stride_c, batch_count, hC_gold, hC_1));
rocblas_error = error > rocblas_error ? error : rocblas_error;
}
if(i==0)
{
CHECK_HIP_ERROR(hipMemcpy(hC_1, dC, sizeof(T) * size_C, hipMemcpyDeviceToHost));
}
}
}
#endif
int number_cold_calls = 2;
int number_hot_calls = arg.iters;
hipEvent_t start, stop, flush;
hipEventCreateWithFlags(&flush, hipEventReleaseToSystem);
hipEventCreate(&start);
hipEventCreate(&stop);
float kernel_time = 0.0f;
host_time = 0.0;
float kernel_time_iter = 0.0f;
double host_time_iter = 0.0f;
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
for(int i = 0; i < number_cold_calls; i++)
{
rocblas_gemm_strided_batched<T>(handle,
transA,
transB,
M,
N,
K,
&h_alpha,
dA,
lda,
stride_a,
dB,
ldb,
stride_b,
&h_beta,
dC,
ldc,
stride_c,
batch_count);
}
if(time_each_iter)
{
for(int i = 0; i < number_hot_calls; i++)
{
if(reinit_c && ((arg.norm_check && i == 0) || i > 0))
CHECK_HIP_ERROR(hipMemcpy(dC, hC_orig, sizeof(T) * size_C, hipMemcpyHostToDevice));
if(arg.flush_gpu_cache)
hipEventRecord(flush, NULL);
host_time_iter = get_time_us();
hipEventRecord(start, NULL);
rocblas_gemm_strided_batched<T>(handle,
transA,
transB,
M,
N,
K,
&h_alpha,
dA,
lda,
stride_a,
dB,
ldb,
stride_b,
&h_beta,
dC,
ldc,
stride_c,
batch_count);
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
host_time += get_time_us() - host_time_iter;
hipEventElapsedTime(&kernel_time_iter, start, stop);
kernel_time+=kernel_time_iter;
}
}
else
{
std::pair<double,double> times;
if(multi_device>1)
{
usleep(0.5 * 1000000);
perfBarrier.wait(deviceId);
}
times.first = get_time_us(); // in microseconds
hipEventRecord(start, NULL);
for(int i = 0; i < number_hot_calls; i++)
{
rocblas_gemm_strided_batched<T>(handle,
transA,
transB,
M,
N,
K,
&h_alpha,
dA,
lda,
stride_a,
dB,
ldb,
stride_b,
&h_beta,
dC,
ldc,
stride_c,
batch_count);
}
hipEventRecord(stop, NULL);
hipEventSynchronize(stop);
times.second = get_time_us();
if(multi_device>1)
promise.set_value(times);
hipEventElapsedTime(&kernel_time, start, stop);
host_time = times.second-times.first;
}
if(storeOutputData)
{
CHECK_HIP_ERROR(hipMemcpy(hC_1, dC, sizeof(T) * size_C, hipMemcpyDeviceToHost));
storeOutputToBin<T>(N, hC_1, ldc, o_file, batch_count);
}
rocblas_gflops = gemm_gflop_count<T>(M, N, K) * batch_count * number_hot_calls / kernel_time * 1e3;
std::stringstream msg;
if(multi_device>1)
{
double host_gflops = gemm_gflop_count<T>(M, N, K) * number_hot_calls / (host_time) * 1e6;
msg << "Device " << deviceId << std::endl
<< "transA,transB,M,N,K,alpha,lda,stride_a,ldb,stride_b,beta,ldc,stride_c,Batch_"
"Count,rocblas-Gflops,rocblas-Gflops(using host_time),host_time(us),kernel_time(us)" << std::endl
<< arg.transA << "," << arg.transB << "," << M << "," << N << "," << K << "," << arg.get_alpha<T>()
<< "," << lda << "," << stride_a << "," << ldb << "," << stride_b << "," << arg.get_beta<T>()
<< "," << ldc << "," << stride_c << "," << batch_count << "," << rocblas_gflops << "," << host_gflops << ","
<< host_time / number_hot_calls << "," << kernel_time/number_hot_calls*1000 << std::endl;
}
else
msg << "transA,transB,M,N,K,alpha,lda,stride_a,ldb,stride_b,beta,ldc,stride_c,Batch_"
"Count,rocblas-Gflops,host_time(us),kernel_time(us)" << std::endl
<< arg.transA << "," << arg.transB << "," << M << "," << N << "," << K << "," << arg.get_alpha<T>()
<< "," << lda << "," << stride_a << "," << ldb << "," << stride_b << "," << arg.get_beta<T>()
<< "," << ldc << "," << stride_c << "," << batch_count << "," << rocblas_gflops << ","
<< host_time / number_hot_calls << "," << kernel_time/number_hot_calls*1000 << std::endl;
if(arg.norm_check)
{
msg << "cblas-Gflops,us,rocblas-error" << std::endl
<< cblas_gflops << "," << cpu_time_used << "," << rocblas_error << std::endl;
}
rocblas_cout << msg.str();
}
template <typename Ti, typename To, typename Tc>
void BenchGemmEx(Arguments& arg, std::promise<std::pair<double,double>> promise)
{
rocblas_gemm_algo algo = static_cast<rocblas_gemm_algo>(arg.algo);
int32_t solution_index = arg.solution_index;
uint32_t flags = arg.flags;
bool nantest = rocblas_isnan(arg.beta) || rocblas_isnan(arg.betai);
if(!std::is_same<To, float>{} && !std::is_same<To, double>{}
&& !std::is_same<To, rocblas_half>{} && !is_complex<To> && nantest)
return; // Exclude integers or other types which don't support NaN
Tc h_alpha_Tc = arg.get_alpha<Tc>();
Tc h_beta_Tc = arg.get_beta<Tc>();
rocblas_int reinit_c = arg.reinit_c && h_beta_Tc != 0;
rocblas_int c_equals_d = arg.c_equals_d;
rocblas_int time_each_iter = arg.time_each_iter || reinit_c || arg.flush_gpu_cache;
rocblas_int tensile_timing = arg.tensile_timing;
double host_time;
double rocblas_gflops;
static double cpu_time_used, cblas_gflops;
double rocblas_error = 0.0;
int deviceId;
if(multi_device>1)
hipGetDevice(&deviceId);
rocblas_local_handle handle;
auto transA = char2rocblas_operation(arg.transA);
auto transB = char2rocblas_operation(arg.transB);
auto M = arg.M, N = arg.N, K = arg.K;
auto lda = arg.lda, ldb = arg.ldb, ldc = arg.ldc, ldd = arg.ldd;
auto A_row = transA == rocblas_operation_none ? M : K;
auto A_col = transA == rocblas_operation_none ? K : M;
auto B_row = transB == rocblas_operation_none ? K : N;
auto B_col = transB == rocblas_operation_none ? N : K;
// size checking is only needed for int8x4
bool pack_to_int8x4 = arg.flags & rocblas_gemm_flags_pack_int8x4;
bool int8_invalid = (pack_to_int8x4 && std::is_same<Ti, int8_t>{}
&& (K % 4 != 0 || (transA != rocblas_operation_none && lda % 4 != 0)
|| (transB == rocblas_operation_none && ldb % 4 != 0)));
// check for invalid sizes
if(M < 0 || N < 0 || K < 0 || lda < A_row || ldb < B_row || ldc < M || (ldd < M && !c_equals_d)
|| (std::is_same<Ti, int8_t> {}
&& (K % 4 != 0 || (transA != rocblas_operation_none && lda % 4 != 0)
|| (transB == rocblas_operation_none && ldb % 4 != 0))))
{
rocblas_cout << "Invalid sizes...exiting" << std::endl;
exit(1);
}
if(int8_invalid)
{
rocblas_cout << "Invalid int8 sizes...exiting" << std::endl;
exit(1);
}
const size_t size_A = size_t(lda) * size_t(A_col);
const size_t size_B = size_t(ldb) * size_t(B_col);
const size_t size_C = size_t(ldc) * size_t(N);
const size_t size_D = c_equals_d ? 0 : size_t(ldd) * size_t(N);
// allocate memory on device
device_vector<Ti> dA(size_A);
device_vector<Ti> dB(size_B);
device_vector<To> dC(size_C);
device_vector<To> dD(size_D);
device_vector<Tc> d_alpha_Tc(1);
device_vector<Tc> d_beta_Tc(1);
if(!dA || !dB || !dC || !dD || !d_alpha_Tc || !d_beta_Tc)
{
CHECK_HIP_ERROR(hipErrorOutOfMemory);
return;
}
bool vChecks = (arg.unit_check || arg.norm_check);
bool transferOutput = (vChecks || storeOutputData);
// Naming: dX is in GPU (device) memory. hK is in CPU (host) memory
static host_vector<Ti> hA(size_A);
static host_vector<Ti> hB(size_B);
static host_vector<To> hC(size_C);
host_vector<To> hC_1(transferOutput ? size_C : 0);
static host_vector<To> hC_gold(vChecks && c_equals_d ? size_C : 0);
host_vector<To> hD_1(size_D);
static host_vector<To> hD_gold(vChecks ? size_D : 0);
static host_vector<To> hC_orig(arg.reinit_c ? size_C : 0);
if((multi_device>1 && deviceId==0) || multi_device == 1)
{
if(arg.initialization == rocblas_initialization_random_int)
{
// Old
rocblas_seedrand();
rocblas_init<Ti>(hA, A_row, A_col, lda);
rocblas_init_alternating_sign<Ti>(hB, B_row, B_col, ldb);
if(nantest)
rocblas_init_nan<To>(hC, M, N, ldc);
else
rocblas_init<To>(hC, M, N, ldc);
}
else if(arg.initialization == rocblas_initialization_random_narrow)
{
init_narrow_range_random_gemm<Ti,To>(transA,
transB,
M,
N,
K,
hA,
lda,
size_A,
hB,
ldb,
size_B,
hC,
ldc,
size_C);
}
else if(arg.initialization == rocblas_initialization_random_broad)
{
init_broad_range_random_gemm<Ti,To>(transA,
transB,
M,
N,
K,
hA,
lda,
size_A,
hB,
ldb,
size_B,
hC,
ldc,
size_C);
}
else if(arg.initialization == rocblas_initialization_random_full)
{
init_full_range_random_gemm<Ti,To>(transA,
transB,
M,
N,
K,
hA,
lda,
size_A,
hB,
ldb,
size_B,
hC,
ldc,
size_C);
}
else if(arg.initialization == rocblas_initialization_const)
{
init_constant_gemm<Ti,To>(transA,
transB,
M,
N,
K,
hA,
lda,
size_A,
hB,
ldb,
size_B,
hC,
ldc,
size_C,
Ti(arg.initVal));
}
else if(arg.initialization == rocblas_initialization_trig_float)
{
rocblas_init_sin<Ti>(hA, A_row, A_col, lda);
rocblas_init_cos<Ti>(hB, B_row, B_col, ldb);
if(rocblas_isnan(arg.beta))
rocblas_init_nan<To>(hC, M, N, ldc);
else
rocblas_init_sin<To>(hC, M, N, ldc);
}
else if(arg.initialization == rocblas_initialization_hpl)
{
rocblas_seedrand();
rocblas_init_hpl<Ti>(hA, A_row, A_col, lda);
rocblas_init_hpl<Ti>(hB, B_row, B_col, ldb);
if(rocblas_isnan(arg.beta))
rocblas_init_nan<To>(hC, M, N, ldc);
else
rocblas_init_hpl<To>(hC, M, N, ldc);
}
else if(arg.initialization == rocblas_initialization_file)
{
loadFromBin<Ti,To>(transA, transB, M, N, K, hA, lda, a_file, hB, ldb, b_file, hC, ldc, c_file, 1);
}
else
{
rocblas_cout << "Invalid init type for Input type...exiting" << std::endl;
exit(1);
}
if(std::is_same<To, rocblas_half>{} && std::is_same<Tc, float>{})
{
// half precision IEEE has max and lowest values 65504 and -65504,
// float precision IEEE has max and lowest values 3.403e+38 and -3.403e+38
// the following will overflow to inf in half arithmetic,
// but it will equal zero in float arithmetic 65504 * 2 - 65504 * 2
//
// set matrix A and matrix B so reduction sum has 65504 * 2 - 65504 * 2
//
const rocblas_half ieee_half_near_max(65504.0 - 4.0);
const rocblas_half positive_two(2.0);
const rocblas_half negative_two(-2.0);
if(M >= 2 && N >= 2 && K >= 2)
{
if(transA == rocblas_operation_none)
{
hA[0] = Ti(ieee_half_near_max);
hA[lda] = Ti(ieee_half_near_max);
}
else
{
hA[0] = Ti(ieee_half_near_max);
hA[1] = Ti(ieee_half_near_max);
}
if(transB == rocblas_operation_none)
{
for(int j = 0; j < N; j++)
{
hB[j * ldb] = j % 2 == 0 ? Ti(positive_two) : Ti(negative_two);
hB[1 + j * ldb] = j % 2 == 0 ? Ti(negative_two) : Ti(positive_two);
}
}
else
{
for(int j = 0; j < N; j++)
{
hB[j] = j % 2 == 0 ? Ti(positive_two) : Ti(negative_two);
hB[ldb + j] = j % 2 == 0 ? Ti(negative_two) : Ti(positive_two);
}
}
}
}
if(!c_equals_d)
rocblas_init<To>(hD_1, M, N, ldd);
if(vChecks)
{
if(!c_equals_d)
hD_gold = hD_1;
else
hC_gold = hC;
}
if(reinit_c)
hC_orig = hC;
memBarrier.wait();
}
else
memBarrier.wait();
if(storeInitData)
{
storeInitToBin<Ti,To>(transA, transB, M, N, K, hA, lda, a_file, hB, ldb, b_file, hC, ldc, c_file, 1);
}
// copy data from CPU to device
// do packing only when pack_to_int8x4=true (int8x4)
// if int8x4 and A not transposed and valid case, pack A
if(std::is_same<Ti, int8_t>{} && transA == rocblas_operation_none && pack_to_int8x4)
{
host_vector<Ti> hA_packed(hA);
rocblas_packInt8(hA_packed, M, K, lda);
CHECK_HIP_ERROR(hipMemcpy(dA, hA_packed, sizeof(Ti) * size_A, hipMemcpyHostToDevice));
}
else
{
CHECK_HIP_ERROR(hipMemcpy(dA, hA, sizeof(Ti) * size_A, hipMemcpyHostToDevice));
}
// do packing only when pack_to_int8x4=true (int8x4)
// if int8x4 and B transposed and valid case, pack B
if(std::is_same<Ti, int8_t>{} && transB != rocblas_operation_none && pack_to_int8x4)
{
host_vector<Ti> hB_packed(hB);
rocblas_packInt8(hB_packed, N, K, ldb);
CHECK_HIP_ERROR(hipMemcpy(dB, hB_packed, sizeof(Ti) * size_B, hipMemcpyHostToDevice));
}
else
{
CHECK_HIP_ERROR(hipMemcpy(dB, hB, sizeof(Ti) * size_B, hipMemcpyHostToDevice));
}
CHECK_HIP_ERROR(hipMemcpy(dC, hC, sizeof(To) * size_C, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dD, hD_1, sizeof(To) * size_D, hipMemcpyHostToDevice));
#ifdef VALIDATE
if(arg.norm_check)
{
// ROCBLAS rocblas_pointer_mode_host
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
CHECK_ROCBLAS_ERROR(rocblas_gemm_ex(handle,
transA,
transB,
M,
N,
K,
&h_alpha_Tc,
dA,
arg.a_type,
lda,
dB,
arg.b_type,
ldb,
&h_beta_Tc,
dC,
arg.c_type,
ldc,
c_equals_d ? dC : dD,
c_equals_d ? arg.c_type : arg.d_type,
c_equals_d ? ldc : ldd,
arg.compute_type,
algo,
solution_index,
flags));
if(c_equals_d)
CHECK_HIP_ERROR(hipMemcpy(hC_1, dC, sizeof(To) * size_C, hipMemcpyDeviceToHost));
else
CHECK_HIP_ERROR(hipMemcpy(hD_1, dD, sizeof(To) * size_D, hipMemcpyDeviceToHost));
// ROCBLAS rocblas_pointer_mode_device
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
CHECK_HIP_ERROR(hipMemcpy(d_alpha_Tc, &h_alpha_Tc, sizeof(Tc), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(d_beta_Tc, &h_beta_Tc, sizeof(Tc), hipMemcpyHostToDevice));
if(c_equals_d)
CHECK_HIP_ERROR(hipMemcpy(dC, hC, sizeof(To) * size_C, hipMemcpyHostToDevice));
else
CHECK_HIP_ERROR(hipMemcpy(dD, hD_gold, sizeof(To) * size_D, hipMemcpyHostToDevice));
CHECK_ROCBLAS_ERROR(rocblas_gemm_ex(handle,
transA,
transB,
M,
N,
K,
d_alpha_Tc,
dA,
arg.a_type,
lda,
dB,
arg.b_type,
ldb,
d_beta_Tc,
dC,
arg.c_type,
ldc,
c_equals_d ? dC : dD,
c_equals_d ? arg.c_type : arg.d_type,
c_equals_d ? ldc : ldd,
arg.compute_type,
algo,
solution_index,
flags));
if(multi_device > 1 && deviceId!=0)
{
memBarrier2.wait(deviceId);
}
if(multi_device==1 || (multi_device > 1 && deviceId==0))
{
// CPU BLAS
// copy C matrix into D matrix
if(!c_equals_d)
{
for(int i2 = 0; i2 < N; i2++)
{
for(int i1 = 0; i1 < M; i1++)
{
hD_gold[i1 + i2 * ldd] = hC[i1 + i2 * ldc];
}
}
}
cpu_time_used = get_time_us();
blis_gemm<Ti,To,Tc>(
transA, transB, M, N, K, h_alpha_Tc, hA, lda, hB, ldb, h_beta_Tc, c_equals_d ? hC_gold : hD_gold, c_equals_d ? ldc : ldd);
//if C does not equal D check if C changed
cpu_time_used = get_time_us() - cpu_time_used;
cblas_gflops = gemm_gflop_count<To>(M, N, K) / cpu_time_used * 1e6;
if(multi_device > 1)
{
memBarrier2.wait(deviceId);
}
}
//releasing already used host memory
hA=host_vector<Ti>();
hB=host_vector<Ti>();
hC=host_vector<To>();
for(int i=0; i<2; i++)
{
if(arg.unit_check)
{
if(std::is_same<Tc, rocblas_half> {} && K > 10000)
{
// For large K, rocblas_half tends to diverge proportional to K
// Tolerance is slightly greater than 1 / 1024.0
const double tol = K * sum_error_tolerance<Tc>;
if(!c_equals_d)
{
near_check_general<To>(M, N, ldd, hD_gold, hD_1, tol);
}
else
{
unit_check_general<To>(M, N, ldc, hC_gold, hC_1);
}
}
else
{
if(!c_equals_d)
{
unit_check_general<To>(M, N, ldd, hD_gold, hD_1);
}
else
{
unit_check_general<To>(M, N, ldc, hC_gold, hC_1);
}
}
}
if(arg.norm_check)
{
auto err = 0.0;
if(!c_equals_d)
{
err = fabs(norm_check_general<To>('F', M, N, ldd, hD_gold, hD_1));
}
else
{
err = fabs(norm_check_general<To>('F', M, N, ldc, hC_gold, hC_1));
}
rocblas_error = err > rocblas_error ? err : rocblas_error;
}
if(i==0)
{
if(c_equals_d)
CHECK_HIP_ERROR(hipMemcpy(hC_1, dC, sizeof(To) * size_C, hipMemcpyDeviceToHost));
else
CHECK_HIP_ERROR(hipMemcpy(hD_1, dD, sizeof(To) * size_D, hipMemcpyDeviceToHost));
}
}
}