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TheRock/rocm-libraries/projects/hipblas/clients/include/blas1/testing_scal.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

177 lines
6.4 KiB
C++

/* ************************************************************************
* Copyright (C) 2016-2025 Advanced Micro Devices, Inc. All rights reserved.
*
* 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 <stdio.h>
#include <stdlib.h>
#include <vector>
#include "testing_common.hpp"
/* ============================================================================================ */
using hipblasScalModel = ArgumentModel<e_a_type, e_c_type, e_N, e_alpha, e_incx>;
inline void testname_scal(const Arguments& arg, std::string& name)
{
hipblasScalModel{}.test_name(arg, name);
}
template <typename T, typename U = T>
void testing_scal_bad_arg(const Arguments& arg)
{
using Ts = hipblas_internal_type<U>;
bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
auto hipblasScalFn = FORTRAN ? hipblasScal<T, U, true> : hipblasScal<T, U, false>;
auto hipblasScalFn_64
= arg.api == FORTRAN_64 ? hipblasScal_64<T, U, true> : hipblasScal_64<T, U, false>;
int64_t N = 100;
int64_t incx = 1;
U alpha = (U)0.6;
hipblasLocalHandle handle(arg);
device_vector<T> dx(N, incx);
for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE})
{
CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode));
// Notably scal differs from axpy such that x can /never/ be a nullptr, regardless of alpha.
// None of these test cases will write to result so using device pointer is fine for both modes
DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
hipblasScalFn,
(nullptr, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
if(arg.bad_arg_all)
{
DAPI_EXPECT(
HIPBLAS_STATUS_INVALID_VALUE, hipblasScalFn, (handle, N, nullptr, dx, incx));
DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
hipblasScalFn,
(handle, N, reinterpret_cast<Ts*>(&alpha), nullptr, incx));
}
}
}
template <typename T, typename U = T>
void testing_scal(const Arguments& arg)
{
using Ts = hipblas_internal_type<U>;
bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
auto hipblasScalFn = FORTRAN ? hipblasScal<T, U, true> : hipblasScal<T, U, false>;
auto hipblasScalFn_64
= arg.api == FORTRAN_64 ? hipblasScal_64<T, U, true> : hipblasScal_64<T, U, false>;
int64_t N = arg.N;
int64_t incx = arg.incx;
int unit_check = arg.unit_check;
int timing = arg.timing;
hipblasLocalHandle handle(arg);
// argument sanity check, quick return if input parameters are invalid before allocating invalid
// memory
if(N <= 0 || incx <= 0)
{
DAPI_CHECK(hipblasScalFn, (handle, N, nullptr, nullptr, incx));
return;
}
U alpha = arg.get_alpha<U>();
// Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice
host_vector<T> hx(N, incx);
host_vector<T> hz(N, incx);
device_vector<T> dx(N, incx);
CHECK_DEVICE_ALLOCATION(dx.memcheck());
double hipblas_error{0};
// Initial Data on CPU
hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, true);
// copy vector is easy in STL; hz = hx: save a copy in hz which will be output of CPU BLAS
hz = hx;
// copy data from CPU to device
CHECK_HIP_ERROR(dx.transfer_from(hx));
if(arg.unit_check || arg.norm_check)
{
/* =====================================================================
HIPBLAS
=================================================================== */
DAPI_CHECK(hipblasScalFn, (handle, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
// copy output from device to CPU
CHECK_HIP_ERROR(hx.transfer_from(dx));
/* =====================================================================
CPU BLAS
=================================================================== */
ref_scal<T, U>(N, alpha, hz.data(), incx);
// enable unit check, notice unit check is not invasive, but norm check is,
// unit check and norm check can not be interchanged their order
if(arg.unit_check)
{
unit_check_general<T>(1, N, incx, hz.data(), hx.data());
}
if(arg.norm_check)
{
hipblas_error = norm_check_general('F', 1, N, incx, hz.data(), hx.data());
}
} // end of if unit check
// BLAS_1_RESULT_PRINT
if(timing)
{
double gpu_time_used{0};
hipStream_t stream;
CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));
int runs = arg.cold_iters + arg.iters;
for(int iter = 0; iter < runs; iter++)
{
if(iter == arg.cold_iters)
gpu_time_used = get_time_us_sync(stream);
DAPI_CHECK(hipblasScalFn, (handle, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
}
gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
hipblasScalModel{}.log_args<T>(std::cout,
arg,
gpu_time_used,
scal_gflop_count<T, U>(N),
scal_gbyte_count<T>(N),
hipblas_error);
}
}