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240 lines
9.4 KiB
C++
240 lines
9.4 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 hipblasRotgBatchedModel = ArgumentModel<e_a_type, e_batch_count>;
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inline void testname_rotg_batched(const Arguments& arg, std::string& name)
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{
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hipblasRotgBatchedModel{}.test_name(arg, name);
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}
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template <typename T>
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void testing_rotg_batched_bad_arg(const Arguments& arg)
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{
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using U = real_t<T>;
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasRotgBatchedFn
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= FORTRAN ? hipblasRotgBatched<T, U, true> : hipblasRotgBatched<T, U, false>;
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auto hipblasRotgBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotgBatched_64<T, U, true>
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: hipblasRotgBatched_64<T, U, 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> da(1, 1, batch_count);
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device_batch_vector<T> db(1, 1, batch_count);
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device_batch_vector<U> dc(1, 1, batch_count);
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device_batch_vector<T> ds(1, 1, batch_count);
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DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
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hipblasRotgBatchedFn,
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(nullptr, da, db, dc, ds, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotgBatchedFn,
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(handle, nullptr, db, dc, ds, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotgBatchedFn,
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(handle, da, nullptr, dc, ds, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotgBatchedFn,
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(handle, da, db, nullptr, ds, batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasRotgBatchedFn,
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(handle, da, db, dc, nullptr, batch_count));
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}
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template <typename T>
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void testing_rotg_batched(const Arguments& arg)
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{
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using U = real_t<T>;
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasRotgBatchedFn
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= FORTRAN ? hipblasRotgBatched<T, U, true> : hipblasRotgBatched<T, U, false>;
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auto hipblasRotgBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotgBatched_64<T, U, true>
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: hipblasRotgBatched_64<T, U, false>;
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int64_t batch_count = arg.batch_count;
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const U rel_error = std::numeric_limits<U>::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 vectors for hipblas host result
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host_batch_vector<T> ha(1, 1, batch_count);
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host_batch_vector<T> hb(1, 1, batch_count);
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host_batch_vector<U> hc(1, 1, batch_count);
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host_batch_vector<T> hs(1, 1, batch_count);
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// host vectors for cblas
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host_batch_vector<T> ca(1, 1, batch_count);
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host_batch_vector<T> cb(1, 1, batch_count);
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host_batch_vector<U> cc(1, 1, batch_count);
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host_batch_vector<T> cs(1, 1, batch_count);
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// host vectors for hipblas device result
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host_batch_vector<T> ra(1, 1, batch_count);
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host_batch_vector<T> rb(1, 1, batch_count);
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host_batch_vector<U> rc(1, 1, batch_count);
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host_batch_vector<T> rs(1, 1, batch_count);
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// device vectors for hipblas device
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device_batch_vector<T> da(1, 1, batch_count);
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device_batch_vector<T> db(1, 1, batch_count);
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device_batch_vector<U> dc(1, 1, batch_count);
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device_batch_vector<T> ds(1, 1, batch_count);
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CHECK_DEVICE_ALLOCATION(da.memcheck());
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CHECK_DEVICE_ALLOCATION(db.memcheck());
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CHECK_DEVICE_ALLOCATION(dc.memcheck());
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CHECK_DEVICE_ALLOCATION(ds.memcheck());
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hipblas_init_vector(ha, arg, hipblas_client_alpha_sets_nan, true);
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hipblas_init_vector(hb, arg, hipblas_client_alpha_sets_nan, false);
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hipblas_init_vector(hc, arg, hipblas_client_alpha_sets_nan, false);
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hipblas_init_vector(hs, arg, hipblas_client_alpha_sets_nan, false);
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ca.copy_from(ha);
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cb.copy_from(hb);
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cc.copy_from(hc);
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cs.copy_from(hs);
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ra.copy_from(ha);
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rb.copy_from(hb);
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rc.copy_from(hc);
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rs.copy_from(hs);
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CHECK_HIP_ERROR(da.transfer_from(ha));
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CHECK_HIP_ERROR(db.transfer_from(hb));
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CHECK_HIP_ERROR(dc.transfer_from(hc));
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CHECK_HIP_ERROR(ds.transfer_from(hs));
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if(arg.unit_check || arg.norm_check)
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{
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// hipBLAS
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// test host
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
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DAPI_CHECK(hipblasRotgBatchedFn,
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(handle,
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ha.internal_type(),
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hb.internal_type(),
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hc.internal_type(),
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hs.internal_type(),
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batch_count));
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// test device
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
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DAPI_CHECK(hipblasRotgBatchedFn,
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(handle,
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da.ptr_on_device(),
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db.ptr_on_device(),
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dc.ptr_on_device(),
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ds.ptr_on_device(),
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batch_count));
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CHECK_HIP_ERROR(ra.transfer_from(da));
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CHECK_HIP_ERROR(rb.transfer_from(db));
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CHECK_HIP_ERROR(rc.transfer_from(dc));
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CHECK_HIP_ERROR(rs.transfer_from(ds));
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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_rotg<T, U>(ca[b], cb[b], cc[b], cs[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, ca[b], ha[b], rel_error);
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near_check_general<T>(1, 1, 1, cb[b], hb[b], rel_error);
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near_check_general<U>(1, 1, 1, cc[b], hc[b], rel_error);
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near_check_general<T>(1, 1, 1, cs[b], hs[b], rel_error);
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near_check_general<T>(1, 1, 1, ca[b], ra[b], rel_error);
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near_check_general<T>(1, 1, 1, cb[b], rb[b], rel_error);
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near_check_general<U>(1, 1, 1, cc[b], rc[b], rel_error);
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near_check_general<T>(1, 1, 1, cs[b], rs[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, ca, ha, batch_count);
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hipblas_error_host += norm_check_general<T>('F', 1, 1, 1, cb, hb, batch_count);
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hipblas_error_host += norm_check_general<U>('F', 1, 1, 1, cc, hc, batch_count);
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hipblas_error_host += norm_check_general<T>('F', 1, 1, 1, cs, hs, batch_count);
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hipblas_error_device = norm_check_general<T>('F', 1, 1, 1, ca, ra, batch_count);
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hipblas_error_device += norm_check_general<T>('F', 1, 1, 1, cb, rb, batch_count);
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hipblas_error_device += norm_check_general<U>('F', 1, 1, 1, cc, rc, batch_count);
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hipblas_error_device += norm_check_general<T>('F', 1, 1, 1, cs, rs, 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(hipblasRotgBatchedFn,
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(handle,
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da.ptr_on_device(),
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db.ptr_on_device(),
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dc.ptr_on_device(),
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ds.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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hipblasRotgBatchedModel{}.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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