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170 lines
6.0 KiB
C++
170 lines
6.0 KiB
C++
/* ************************************************************************
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* Copyright (C) 2016-2024 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 hipblasCopyModel = ArgumentModel<e_a_type, e_N, e_incx, e_incy>;
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inline void testname_copy(const Arguments& arg, std::string& name)
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{
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hipblasCopyModel{}.test_name(arg, name);
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}
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template <typename T>
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void testing_copy_bad_arg(const Arguments& arg)
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{
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasCopyFn = FORTRAN ? hipblasCopy<T, true> : hipblasCopy<T, false>;
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auto hipblasCopyFn_64
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= arg.api == FORTRAN_64 ? hipblasCopy_64<T, true> : hipblasCopy_64<T, false>;
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hipblasLocalHandle handle(arg);
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int64_t N = 100;
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int64_t incx = 1;
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int64_t incy = 1;
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device_vector<T> dx(N, incx);
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device_vector<T> dy(N, incy);
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DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasCopyFn, (nullptr, N, dx, incx, dy, incy));
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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, hipblasCopyFn, (handle, N, nullptr, incx, dy, incy));
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DAPI_EXPECT(
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HIPBLAS_STATUS_INVALID_VALUE, hipblasCopyFn, (handle, N, dx, incx, nullptr, incy));
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}
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}
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template <typename T>
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void testing_copy(const Arguments& arg)
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{
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasCopyFn = FORTRAN ? hipblasCopy<T, true> : hipblasCopy<T, false>;
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auto hipblasCopyFn_64
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= arg.api == FORTRAN_64 ? hipblasCopy_64<T, true> : hipblasCopy_64<T, false>;
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int64_t N = arg.N;
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int64_t incx = arg.incx;
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int64_t incy = arg.incy;
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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)
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{
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DAPI_CHECK(hipblasCopyFn, (handle, N, nullptr, incx, nullptr, incy));
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return;
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}
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int64_t abs_incx = incx >= 0 ? incx : -incx;
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int64_t abs_incy = incy >= 0 ? incy : -incy;
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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> hy(N, incy);
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host_vector<T> hx_cpu(N, incy);
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host_vector<T> hy_cpu(N, incy);
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// allocate memory on device
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device_vector<T> dx(N, incx);
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device_vector<T> dy(N, incy);
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CHECK_DEVICE_ALLOCATION(dx.memcheck());
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CHECK_DEVICE_ALLOCATION(dy.memcheck());
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double hipblas_error = 0.0;
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double gpu_time_used = 0.0;
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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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hipblas_init_vector(hy, arg, hipblas_client_alpha_sets_nan, false);
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hx_cpu = hx;
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hy_cpu = hy;
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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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CHECK_HIP_ERROR(dy.transfer_from(hy));
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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(hipblasCopyFn, (handle, N, dx, incx, dy, incy));
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// copy output from device to CPU
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CHECK_HIP_ERROR(hy.transfer_from(dy));
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/* =====================================================================
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CPU BLAS
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=================================================================== */
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// TODO: remove casts
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ref_copy<T>(N, hx_cpu.data(), incx, hy_cpu.data(), incy);
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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, abs_incy, hy_cpu.data(), hy.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<T>('F', 1, N, abs_incy, hy_cpu, hy);
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}
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} // end of if unit check
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if(arg.timing)
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{
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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(hipblasCopyFn, (handle, N, dx, incx, dy, incy));
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}
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gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
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hipblasCopyModel{}.log_args<T>(std::cout,
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arg,
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gpu_time_used,
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copy_gflop_count<T>(N),
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copy_gbyte_count<T>(N),
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hipblas_error);
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}
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}
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