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260 lines
9.6 KiB
C++
260 lines
9.6 KiB
C++
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2021-2025 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
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#include "rocsparse_enum.hpp"
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#include "testing.hpp"
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template <typename T>
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void testing_gtsv_interleaved_batch_bad_arg(const Arguments& arg)
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{
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static const size_t safe_size = 100;
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// Create rocsparse handle
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rocsparse_local_handle local_handle;
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rocsparse_handle handle = local_handle;
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rocsparse_gtsv_interleaved_alg alg = rocsparse_gtsv_interleaved_alg_default;
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rocsparse_int m = safe_size;
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rocsparse_int batch_count = safe_size;
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rocsparse_int batch_stride = safe_size;
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T* dl = (T*)0x4;
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T* d = (T*)0x4;
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T* du = (T*)0x4;
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T* x = (T*)0x4;
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size_t* buffer_size = (size_t*)0x4;
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void* temp_buffer = (void*)0x4;
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#define PARAMS_BUFFER_SIZE handle, alg, m, dl, d, du, x, batch_count, batch_stride, buffer_size
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#define PARAMS_SOLVE handle, alg, m, dl, d, du, x, batch_count, batch_stride, temp_buffer
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bad_arg_analysis(rocsparse_gtsv_interleaved_batch_buffer_size<T>, PARAMS_BUFFER_SIZE);
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bad_arg_analysis(rocsparse_gtsv_interleaved_batch<T>, PARAMS_SOLVE);
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// m <= 1
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m = 1;
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EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch_buffer_size<T>(PARAMS_BUFFER_SIZE),
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rocsparse_status_invalid_size);
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EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch<T>(PARAMS_SOLVE),
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rocsparse_status_invalid_size);
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m = safe_size;
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// batch_stride < batch_count
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batch_count = 4;
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batch_stride = 2;
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EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch_buffer_size<T>(PARAMS_BUFFER_SIZE),
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rocsparse_status_invalid_size);
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EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_interleaved_batch<T>(PARAMS_SOLVE),
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rocsparse_status_invalid_size);
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#undef PARAMS_BUFFER_SIZE
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#undef PARAMS_SOLVE
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}
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template <typename T>
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void testing_gtsv_interleaved_batch(const Arguments& arg)
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{
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rocsparse_int m = arg.M;
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rocsparse_int batch_count = arg.batch_count;
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rocsparse_int batch_stride = arg.batch_stride;
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rocsparse_gtsv_interleaved_alg alg = arg.gtsv_interleaved_alg;
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// Create rocsparse handle
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rocsparse_local_handle handle(arg);
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#define PARAMS_BUFFER_SIZE handle, alg, m, ddl, dd, ddu, dx, batch_count, batch_stride, &buffer_size
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#define PARAMS_SOLVE handle, alg, m, ddl, dd, ddu, dx, batch_count, batch_stride, dbuffer
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if(batch_stride < batch_count)
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{
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return;
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}
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rocsparse_seedrand();
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// Host tri-diagonal matrix
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host_vector<T> hdl(m * batch_stride);
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host_vector<T> hd(m * batch_stride);
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host_vector<T> hdu(m * batch_stride);
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// initialize tri-diagonal matrix
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for(rocsparse_int i = 0; i < m; ++i)
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{
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for(rocsparse_int j = 0; j < batch_stride; ++j)
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{
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hdl[i * batch_stride + j] = random_cached_generator<T>(1, 8);
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hd[i * batch_stride + j] = random_cached_generator<T>(17, 32);
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hdu[i * batch_stride + j] = random_cached_generator<T>(1, 8);
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}
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if(i == 0)
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{
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for(rocsparse_int j = 0; j < batch_stride; ++j)
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{
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hdl[i * batch_stride + j] = static_cast<T>(0);
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}
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}
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if(i == m - 1)
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{
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for(rocsparse_int j = 0; j < batch_stride; ++j)
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{
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hdu[i * batch_stride + j] = static_cast<T>(0);
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}
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}
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}
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// Host dense rhs
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host_vector<T> hx(m * batch_stride);
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for(rocsparse_int i = 0; i < m; i++)
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{
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for(rocsparse_int j = 0; j < batch_stride; j++)
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{
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hx[i * batch_stride + j] = random_cached_generator<T>(-10, 10);
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}
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}
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host_vector<T> hx_original = hx;
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// Device tri-diagonal matrix
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device_vector<T> ddl(hdl);
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device_vector<T> dd(hd);
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device_vector<T> ddu(hdu);
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// Device dense rhs
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device_vector<T> dx(hx);
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// Obtain required buffer size
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size_t buffer_size;
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CHECK_ROCSPARSE_ERROR(rocsparse_gtsv_interleaved_batch_buffer_size<T>(PARAMS_BUFFER_SIZE));
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void* dbuffer;
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CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
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if(arg.unit_check)
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{
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CHECK_ROCSPARSE_ERROR(testing::rocsparse_gtsv_interleaved_batch<T>(PARAMS_SOLVE));
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host_vector<T> hx_copy(hx);
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hx.transfer_from(dx);
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host_gtsv_interleaved_batch(
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alg, m, hdl.data(), hd.data(), hdu.data(), hx_copy.data(), batch_count, batch_stride);
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// Verify GPU solution
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host_vector<T> hresult = hx_original;
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#ifdef _OPENMP
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#pragma omp parallel for schedule(dynamic, 1024)
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#endif
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for(rocsparse_int j = 0; j < batch_count; j++)
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{
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hresult[j] = hd[j] * hx[j] + hdu[j] * hx[batch_stride + j];
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hresult[batch_stride * (m - 1) + j]
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= hdl[batch_stride * (m - 1) + j] * hx[batch_stride * (m - 2) + j]
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+ hd[batch_stride * (m - 1) + j] * hx[batch_stride * (m - 1) + j];
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}
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for(rocsparse_int i = 1; i < m - 1; i++)
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{
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#ifdef _OPENMP
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#pragma omp parallel for schedule(dynamic, 1024)
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#endif
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for(rocsparse_int j = 0; j < batch_count; j++)
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{
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hresult[batch_stride * i + j]
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= hdl[batch_stride * i + j] * hx[batch_stride * (i - 1) + j]
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+ hd[batch_stride * i + j] * hx[batch_stride * i + j]
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+ hdu[batch_stride * i + j] * hx[batch_stride * (i + 1) + j];
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}
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}
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near_check_segments<T>(m * batch_stride, hresult.data(), hx_original.data());
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// verify CPU solution
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hresult = hx_original;
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#ifdef _OPENMP
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#pragma omp parallel for schedule(dynamic, 1024)
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#endif
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for(rocsparse_int j = 0; j < batch_count; j++)
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{
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hresult[j] = hd[j] * hx_copy[j] + hdu[j] * hx_copy[batch_stride + j];
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hresult[batch_stride * (m - 1) + j]
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= hdl[batch_stride * (m - 1) + j] * hx_copy[batch_stride * (m - 2) + j]
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+ hd[batch_stride * (m - 1) + j] * hx_copy[batch_stride * (m - 1) + j];
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}
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for(rocsparse_int i = 1; i < m - 1; i++)
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{
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#ifdef _OPENMP
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#pragma omp parallel for schedule(dynamic, 1024)
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#endif
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for(rocsparse_int j = 0; j < batch_count; j++)
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{
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hresult[batch_stride * i + j]
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= hdl[batch_stride * i + j] * hx_copy[batch_stride * (i - 1) + j]
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+ hd[batch_stride * i + j] * hx_copy[batch_stride * i + j]
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+ hdu[batch_stride * i + j] * hx_copy[batch_stride * (i + 1) + j];
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}
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}
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near_check_segments<T>(m * batch_stride, hresult.data(), hx_original.data());
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near_check_segments<T>(m * batch_stride, hx_copy.data(), hx.data());
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}
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if(arg.timing)
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{
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const double gpu_solve_time_used = rocsparse_clients::run_benchmark(
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arg, rocsparse_gtsv_interleaved_batch<T>, PARAMS_SOLVE);
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double gbyte_count = gtsv_interleaved_batch_gbyte_count<T>(m, batch_count);
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double gpu_gbyte = get_gpu_gbyte(gpu_solve_time_used, gbyte_count);
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display_timing_info(display_key_t::M,
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m,
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display_key_t::batch_count,
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batch_count,
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display_key_t::batch_stride,
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batch_stride,
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display_key_t::bandwidth,
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gpu_gbyte,
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display_key_t::time_ms,
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get_gpu_time_msec(gpu_solve_time_used));
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}
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// Free buffer
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CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
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#undef PARAMS_BUFFER_SIZE
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#undef PARAMS_SOLVE
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}
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#define INSTANTIATE(TYPE) \
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template void testing_gtsv_interleaved_batch_bad_arg<TYPE>(const Arguments& arg); \
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template void testing_gtsv_interleaved_batch<TYPE>(const Arguments& arg)
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INSTANTIATE(float);
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INSTANTIATE(double);
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INSTANTIATE(rocsparse_float_complex);
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INSTANTIATE(rocsparse_double_complex);
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void testing_gtsv_interleaved_batch_extra(const Arguments& arg) {}
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