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177 lines
6.4 KiB
C++
177 lines
6.4 KiB
C++
/* ************************************************************************
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* Copyright (C) 2016-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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* ************************************************************************ */
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#include <stdio.h>
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#include <stdlib.h>
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#include <vector>
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#include "testing_common.hpp"
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/* ============================================================================================ */
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using hipblasScalModel = ArgumentModel<e_a_type, e_c_type, e_N, e_alpha, e_incx>;
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inline void testname_scal(const Arguments& arg, std::string& name)
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{
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hipblasScalModel{}.test_name(arg, name);
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}
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template <typename T, typename U = T>
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void testing_scal_bad_arg(const Arguments& arg)
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{
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using Ts = hipblas_internal_type<U>;
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasScalFn = FORTRAN ? hipblasScal<T, U, true> : hipblasScal<T, U, false>;
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auto hipblasScalFn_64
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= arg.api == FORTRAN_64 ? hipblasScal_64<T, U, true> : hipblasScal_64<T, U, false>;
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int64_t N = 100;
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int64_t incx = 1;
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U alpha = (U)0.6;
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hipblasLocalHandle handle(arg);
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device_vector<T> dx(N, incx);
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for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE})
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{
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode));
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// Notably scal differs from axpy such that x can /never/ be a nullptr, regardless of alpha.
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// None of these test cases will write to result so using device pointer is fine for both modes
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DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
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hipblasScalFn,
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(nullptr, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
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if(arg.bad_arg_all)
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{
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DAPI_EXPECT(
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HIPBLAS_STATUS_INVALID_VALUE, hipblasScalFn, (handle, N, nullptr, dx, incx));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasScalFn,
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(handle, N, reinterpret_cast<Ts*>(&alpha), nullptr, incx));
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}
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}
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}
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template <typename T, typename U = T>
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void testing_scal(const Arguments& arg)
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{
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using Ts = hipblas_internal_type<U>;
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasScalFn = FORTRAN ? hipblasScal<T, U, true> : hipblasScal<T, U, false>;
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auto hipblasScalFn_64
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= arg.api == FORTRAN_64 ? hipblasScal_64<T, U, true> : hipblasScal_64<T, U, false>;
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int64_t N = arg.N;
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int64_t incx = arg.incx;
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int unit_check = arg.unit_check;
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int timing = arg.timing;
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hipblasLocalHandle handle(arg);
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// argument sanity check, quick return if input parameters are invalid before allocating invalid
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// memory
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if(N <= 0 || incx <= 0)
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{
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DAPI_CHECK(hipblasScalFn, (handle, N, nullptr, nullptr, incx));
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return;
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}
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U alpha = arg.get_alpha<U>();
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// Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice
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host_vector<T> hx(N, incx);
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host_vector<T> hz(N, incx);
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device_vector<T> dx(N, incx);
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CHECK_DEVICE_ALLOCATION(dx.memcheck());
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double hipblas_error{0};
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// Initial Data on CPU
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hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, true);
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// copy vector is easy in STL; hz = hx: save a copy in hz which will be output of CPU BLAS
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hz = hx;
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// copy data from CPU to device
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CHECK_HIP_ERROR(dx.transfer_from(hx));
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if(arg.unit_check || arg.norm_check)
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{
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/* =====================================================================
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HIPBLAS
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=================================================================== */
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DAPI_CHECK(hipblasScalFn, (handle, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
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// copy output from device to CPU
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CHECK_HIP_ERROR(hx.transfer_from(dx));
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/* =====================================================================
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CPU BLAS
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=================================================================== */
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ref_scal<T, U>(N, alpha, hz.data(), incx);
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// enable unit check, notice unit check is not invasive, but norm check is,
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// unit check and norm check can not be interchanged their order
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if(arg.unit_check)
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{
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unit_check_general<T>(1, N, incx, hz.data(), hx.data());
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}
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if(arg.norm_check)
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{
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hipblas_error = norm_check_general('F', 1, N, incx, hz.data(), hx.data());
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}
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} // end of if unit check
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// BLAS_1_RESULT_PRINT
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if(timing)
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{
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double gpu_time_used{0};
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hipStream_t stream;
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CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));
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int runs = arg.cold_iters + arg.iters;
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for(int iter = 0; iter < runs; iter++)
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{
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if(iter == arg.cold_iters)
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gpu_time_used = get_time_us_sync(stream);
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DAPI_CHECK(hipblasScalFn, (handle, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
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}
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gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
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hipblasScalModel{}.log_args<T>(std::cout,
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arg,
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gpu_time_used,
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scal_gflop_count<T, U>(N),
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scal_gbyte_count<T>(N),
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hipblas_error);
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}
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}
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