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247 lines
10 KiB
C++
247 lines
10 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 hipblasRotmgBatchedModel = ArgumentModel<e_a_type, e_batch_count>;
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inline void testname_rotmg_batched(const Arguments& arg, std::string& name)
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{
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hipblasRotmgBatchedModel{}.test_name(arg, name);
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}
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template <typename T>
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void testing_rotmg_batched_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 hipblasRotmgBatchedFn
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= FORTRAN ? hipblasRotmgBatched<T, true> : hipblasRotmgBatched<T, false>;
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auto hipblasRotmgBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotmgBatched_64<T, true>
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: hipblasRotmgBatched_64<T, false>;
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hipblasLocalHandle handle(arg);
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int64_t batch_count = 2;
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device_batch_vector<T> d1(1, 1, batch_count);
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device_batch_vector<T> d2(1, 1, batch_count);
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device_batch_vector<T> x1(1, 1, batch_count);
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device_batch_vector<T> y1(1, 1, batch_count);
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device_batch_vector<T> param(5, 1, batch_count);
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DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
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hipblasRotmgBatchedFn,
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(nullptr, d1, d2, x1, y1, param, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotmgBatchedFn,
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(handle, nullptr, d2, x1, y1, param, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotmgBatchedFn,
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(handle, d1, nullptr, x1, y1, param, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotmgBatchedFn,
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(handle, d1, d2, nullptr, y1, param, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotmgBatchedFn,
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(handle, d1, d2, x1, nullptr, param, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotmgBatchedFn,
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(handle, d1, d2, x1, y1, nullptr, batch_count));
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}
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template <typename T>
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void testing_rotmg_batched(const Arguments& arg)
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{
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasRotmgBatchedFn
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= FORTRAN ? hipblasRotmgBatched<T, true> : hipblasRotmgBatched<T, false>;
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auto hipblasRotmgBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotmgBatched_64<T, true>
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: hipblasRotmgBatched_64<T, false>;
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int64_t batch_count = arg.batch_count;
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T rel_error = std::numeric_limits<T>::epsilon() * 1000;
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// check to prevent undefined memory allocation error
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if(batch_count <= 0)
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return;
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double gpu_time_used{0}, hipblas_error_host{0}, hipblas_error_device{0};
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hipblasLocalHandle handle(arg);
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// Initial Data on CPU
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// host data for hipBLAS host test
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host_batch_vector<T> hd1(1, 1, batch_count);
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host_batch_vector<T> hd2(1, 1, batch_count);
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host_batch_vector<T> hx1(1, 1, batch_count);
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host_batch_vector<T> hy1(1, 1, batch_count);
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host_batch_vector<T> hparams(5, 1, batch_count);
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// host data for CBLAS test
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host_batch_vector<T> cd1(1, 1, batch_count);
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host_batch_vector<T> cd2(1, 1, batch_count);
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host_batch_vector<T> cx1(1, 1, batch_count);
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host_batch_vector<T> cy1(1, 1, batch_count);
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host_batch_vector<T> cparams(5, 1, batch_count);
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// host data for hipBLAS device test
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host_batch_vector<T> hd1_d(1, 1, batch_count);
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host_batch_vector<T> hd2_d(1, 1, batch_count);
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host_batch_vector<T> hx1_d(1, 1, batch_count);
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host_batch_vector<T> hy1_d(1, 1, batch_count);
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host_batch_vector<T> hparams_d(5, 1, batch_count);
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// device data for hipBLAS device test
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device_batch_vector<T> dd1(1, 1, batch_count);
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device_batch_vector<T> dd2(1, 1, batch_count);
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device_batch_vector<T> dx1(1, 1, batch_count);
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device_batch_vector<T> dy1(1, 1, batch_count);
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device_batch_vector<T> dparams(5, 1, batch_count);
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CHECK_DEVICE_ALLOCATION(dd1.memcheck());
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CHECK_DEVICE_ALLOCATION(dd2.memcheck());
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CHECK_DEVICE_ALLOCATION(dx1.memcheck());
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CHECK_DEVICE_ALLOCATION(dy1.memcheck());
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CHECK_DEVICE_ALLOCATION(dparams.memcheck());
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hipblas_init_vector(hd1, arg, hipblas_client_alpha_sets_nan, true);
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hipblas_init_vector(hd2, arg, hipblas_client_alpha_sets_nan, false);
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hipblas_init_vector(hx1, arg, hipblas_client_alpha_sets_nan, false);
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hipblas_init_vector(hy1, arg, hipblas_client_alpha_sets_nan, false);
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hipblas_init_vector(hparams, arg, hipblas_client_alpha_sets_nan, false);
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cd1.copy_from(hd1);
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cd2.copy_from(hd2);
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cx1.copy_from(hx1);
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cy1.copy_from(hy1);
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cparams.copy_from(hparams);
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CHECK_HIP_ERROR(dd1.transfer_from(hd1));
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CHECK_HIP_ERROR(dd2.transfer_from(hd2));
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CHECK_HIP_ERROR(dx1.transfer_from(hx1));
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CHECK_HIP_ERROR(dy1.transfer_from(hy1));
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CHECK_HIP_ERROR(dparams.transfer_from(hparams));
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if(arg.unit_check || arg.norm_check)
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{
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
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DAPI_CHECK(hipblasRotmgBatchedFn, (handle, hd1, hd2, hx1, hy1, hparams, batch_count));
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
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DAPI_CHECK(hipblasRotmgBatchedFn,
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(handle,
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dd1.ptr_on_device(),
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dd2.ptr_on_device(),
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dx1.ptr_on_device(),
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dy1.ptr_on_device(),
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dparams.ptr_on_device(),
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batch_count));
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CHECK_HIP_ERROR(hd1_d.transfer_from(dd1));
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CHECK_HIP_ERROR(hd2_d.transfer_from(dd2));
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CHECK_HIP_ERROR(hx1_d.transfer_from(dx1));
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CHECK_HIP_ERROR(hy1_d.transfer_from(dy1));
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CHECK_HIP_ERROR(hparams_d.transfer_from(dparams));
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// CBLAS
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for(int64_t b = 0; b < batch_count; b++)
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{
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ref_rotmg<T>(cd1[b], cd2[b], cx1[b], cy1[b], cparams[b]);
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}
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if(arg.unit_check)
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{
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for(int64_t b = 0; b < batch_count; b++)
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{
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near_check_general<T>(1, 1, 1, cd1[b], hd1[b], rel_error);
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near_check_general<T>(1, 1, 1, cd2[b], hd2[b], rel_error);
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near_check_general<T>(1, 1, 1, cx1[b], hx1[b], rel_error);
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near_check_general<T>(1, 1, 1, cy1[b], hy1[b], rel_error);
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near_check_general<T>(1, 5, 1, cparams[b], hparams[b], rel_error);
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near_check_general<T>(1, 1, 1, cd1[b], hd1_d[b], rel_error);
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near_check_general<T>(1, 1, 1, cd2[b], hd2_d[b], rel_error);
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near_check_general<T>(1, 1, 1, cx1[b], hx1_d[b], rel_error);
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near_check_general<T>(1, 1, 1, cy1[b], hy1_d[b], rel_error);
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near_check_general<T>(1, 5, 1, cparams[b], hparams_d[b], rel_error);
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}
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}
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if(arg.norm_check)
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{
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hipblas_error_host = norm_check_general<T>('F', 1, 1, 1, cd1, hd1, batch_count);
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hipblas_error_host += norm_check_general<T>('F', 1, 1, 1, cd2, hd2, batch_count);
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hipblas_error_host += norm_check_general<T>('F', 1, 1, 1, cx1, hx1, batch_count);
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hipblas_error_host += norm_check_general<T>('F', 1, 1, 1, cy1, hy1, batch_count);
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hipblas_error_host
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+= norm_check_general<T>('F', 1, 5, 1, cparams, hparams, batch_count);
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hipblas_error_device = norm_check_general<T>('F', 1, 1, 1, cd1, hd1_d, batch_count);
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hipblas_error_device += norm_check_general<T>('F', 1, 1, 1, cd2, hd2_d, batch_count);
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hipblas_error_device += norm_check_general<T>('F', 1, 1, 1, cx1, hx1_d, batch_count);
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hipblas_error_device += norm_check_general<T>('F', 1, 1, 1, cy1, hy1_d, batch_count);
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hipblas_error_device
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+= norm_check_general<T>('F', 1, 5, 1, cparams, hparams_d, batch_count);
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}
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}
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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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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
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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(hipblasRotmgBatchedFn,
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(handle,
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dd1.ptr_on_device(),
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dd2.ptr_on_device(),
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dx1.ptr_on_device(),
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dy1.ptr_on_device(),
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dparams.ptr_on_device(),
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batch_count));
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}
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gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
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hipblasRotmgBatchedModel{}.log_args<T>(std::cout,
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arg,
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gpu_time_used,
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ArgumentLogging::NA_value,
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ArgumentLogging::NA_value,
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hipblas_error_host,
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hipblas_error_device);
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}
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}
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