text: /* ************************************************************************
   * Copyright (C) 2016-2022 Advanced Micro Devices, Inc. All rights reserved.
   *
   * Permission is hereby granted, free of charge, to any person obtaining a copy
   * of this software and associated documentation files (the "Software"), to deal
   * in the Software without restriction, including without limitation the rights
   * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
   * copies of the Software, and to permit persons to whom the Software is
   * furnished to do so, subject to the following conditions:
   *
   * The above copyright notice and this permission notice shall be included in
   * all copies or substantial portions of the Software.
   *
   * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
   * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
   * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
   * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
   * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
   * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
   * SOFTWARE.
   *
   * ************************************************************************ */
  
  #include <fstream>
  #include <iostream>
  #include <stdlib.h>
  #include <vector>
  
  #include "testing_common.hpp"
  
  #define TRSM_BLOCK 128
  
  /* ============================================================================================ */
  
  template <typename T>
  hipblasStatus_t testing_trsm_strided_batched_ex(const Arguments& argus)
  {
      bool FORTRAN = argus.fortran;
      auto hipblasTrsmStridedBatchedExFn
          = FORTRAN ? hipblasTrsmStridedBatchedEx : hipblasTrsmStridedBatchedEx;
  
      int M   = argus.M;
      int N   = argus.N;
      int lda = argus.lda;
      int ldb = argus.ldb;
  
      char   char_side    = argus.side_option;
      char   char_uplo    = argus.uplo_option;
      char   char_transA  = argus.transA_option;
      char   char_diag    = argus.diag_option;
      T      h_alpha      = argus.get_alpha<T>();
      double stride_scale = argus.stride_scale;
      int    batch_count  = argus.batch_count;
  
      hipblasSideMode_t  side   = char2hipblas_side(char_side);
      hipblasFillMode_t  uplo   = char2hipblas_fill(char_uplo);
      hipblasOperation_t transA = char2hipblas_operation(char_transA);
      hipblasDiagType_t  diag   = char2hipblas_diagonal(char_diag);
  
      int K = (side == HIPBLAS_SIDE_LEFT ? M : N);
  
      hipblasStride strideA     = size_t(lda) * K * stride_scale;
      hipblasStride strideB     = size_t(ldb) * N * stride_scale;
      hipblasStride stride_invA = TRSM_BLOCK * size_t(K);
      size_t        A_size      = strideA * batch_count;
      size_t        B_size      = strideB * batch_count;
      size_t        invA_size   = stride_invA * batch_count;
  
      // check here to prevent undefined memory allocation error
      // TODO: Workaround for cuda tests, not actually testing return values
      if(M < 0 || N < 0 || lda < K || ldb < M || batch_count < 0)
      {
          return HIPBLAS_STATUS_INVALID_VALUE;
      }
      if(!batch_count)
      {
          return HIPBLAS_STATUS_SUCCESS;
      }
      // Naming: dK is in GPU (device) memory. hK is in CPU (host) memory
      host_vector<T> hA(A_size);
      host_vector<T> hB_host(B_size);
      host_vector<T> hB_device(B_size);
      host_vector<T> hB_cpu(B_size);
  
      device_vector<T> dA(A_size);
      device_vector<T> dB(B_size);
      device_vector<T> dinvA(invA_size);
      device_vector<T> d_alpha(1);
  
      double             gpu_time_used, hipblas_error_host, hipblas_error_device;
      hipblasLocalHandle handle(argus);
  
      // Initial hA on CPU
      hipblas_init_matrix(
          hA, argus, K, K, lda, strideA, batch_count, hipblas_client_never_set_nan, true);
      hipblas_init_matrix(
          hB_host, argus, M, N, ldb, strideB, batch_count, hipblas_client_never_set_nan);
  
      for(int b = 0; b < batch_count; b++)
      {
          T* hAb = hA.data() + b * strideA;
          T* hBb = hB_host.data() + b * strideB;
  
          // pad ountouched area into zero
          for(int i = K; i < lda; i++)
          {
              for(int j = 0; j < K; j++)
              {
                  hAb[i + j * lda] = 0.0;
              }
          }
  
          // proprocess the matrix to avoid ill-conditioned matrix
          host_vector<int> ipiv(K);
          cblas_getrf(K, K, hAb, lda, ipiv.data());
          for(int i = 0; i < K; i++)
          {
              for(int j = i; j < K; j++)
              {
                  hAb[i + j * lda] = hAb[j + i * lda];
                  if(diag == HIPBLAS_DIAG_UNIT)
                  {
                      if(i == j)
                          hAb[i + j * lda] = 1.0;
                  }
              }
          }
  
          // pad untouched area into zero
          for(int i = M; i < ldb; i++)
          {
              for(int j = 0; j < N; j++)
              {
                  hBb[i + j * ldb] = 0.0;
              }
          }
  
          // Calculate hB = hA*hX;
          cblas_trmm<T>(
              side, uplo, transA, diag, M, N, T(1.0) / h_alpha, (const T*)hAb, lda, hBb, ldb);
      }
  
      hB_device = hB_cpu = hB_host;
  
      // copy data from CPU to device
      CHECK_HIP_ERROR(hipMemcpy(dA, hA, sizeof(T) * A_size, hipMemcpyHostToDevice));
      CHECK_HIP_ERROR(hipMemcpy(dB, hB_host, sizeof(T) * B_size, hipMemcpyHostToDevice));
      CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
  
      // calculate invA
      int sub_stride_A    = TRSM_BLOCK * lda + TRSM_BLOCK;
      int sub_stride_invA = TRSM_BLOCK * TRSM_BLOCK;
      int blocks          = K / TRSM_BLOCK;
  
      for(int b = 0; b < batch_count; b++)
      {
          if(blocks > 0)
          {
              CHECK_HIPBLAS_ERROR(hipblasTrtriStridedBatched<T>(handle,
                                                                uplo,
                                                                diag,
                                                                TRSM_BLOCK,
                                                                dA + b * strideA,
                                                                lda,
                                                                sub_stride_A,
                                                                dinvA + b * stride_invA,
                                                                TRSM_BLOCK,
                                                                sub_stride_invA,
                                                                blocks));
          }
  
          if(K % TRSM_BLOCK != 0 || blocks == 0)
          {
              CHECK_HIPBLAS_ERROR(
                  hipblasTrtriStridedBatched<T>(handle,
                                                uplo,
                                                diag,
                                                K - TRSM_BLOCK * blocks,
                                                dA + sub_stride_A * blocks + b * strideA,
                                                lda,
                                                sub_stride_A,
                                                dinvA + sub_stride_invA * blocks + b * stride_invA,
                                                TRSM_BLOCK,
                                                sub_stride_invA,
                                                1));
          }
      }
  
      if(argus.unit_check || argus.norm_check)
      {
          /* =====================================================================
              HIPBLAS
          =================================================================== */
          CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
          CHECK_HIPBLAS_ERROR(hipblasTrsmStridedBatchedExFn(handle,
                                                            side,
                                                            uplo,
                                                            transA,
                                                            diag,
                                                            M,
                                                            N,
                                                            &h_alpha,
                                                            dA,
                                                            lda,
                                                            strideA,
                                                            dB,
                                                            ldb,
                                                            strideB,
                                                            batch_count,
                                                            dinvA,
                                                            invA_size,
                                                            stride_invA,
                                                            argus.compute_type));
  
          // copy output from device to CPU
          CHECK_HIP_ERROR(hipMemcpy(hB_host, dB, sizeof(T) * B_size, hipMemcpyDeviceToHost));
          CHECK_HIP_ERROR(hipMemcpy(dB, hB_device, sizeof(T) * B_size, hipMemcpyHostToDevice));
  
          CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
          CHECK_HIPBLAS_ERROR(hipblasTrsmStridedBatchedExFn(handle,
                                                            side,
                                                            uplo,
                                                            transA,
                                                            diag,
                                                            M,
                                                            N,
                                                            d_alpha,
                                                            dA,
                                                            lda,
                                                            strideA,
                                                            dB,
                                                            ldb,
                                                            strideB,
                                                            batch_count,
                                                            dinvA,
                                                            invA_size,
                                                            stride_invA,
                                                            argus.compute_type));
  
          CHECK_HIP_ERROR(hipMemcpy(hB_device, dB, sizeof(T) * B_size, hipMemcpyDeviceToHost));
  
          /* =====================================================================
             CPU BLAS
          =================================================================== */
          for(int b = 0; b < batch_count; b++)
          {
              cblas_trsm<T>(side,
                            uplo,
                            transA,
                            diag,
                            M,
                            N,
                            h_alpha,
                            (const T*)hA.data() + b * strideA,
                            lda,
                            hB_cpu.data() + b * strideB,
                            ldb);
          }
  
          // if enable norm check, norm check is invasive
          real_t<T> eps       = std::numeric_limits<real_t<T>>::epsilon();
          double    tolerance = eps * 40 * M;
  
          hipblas_error_host
              = norm_check_general<T>('F', M, N, ldb, strideB, hB_cpu, hB_host, batch_count);
          hipblas_error_device
              = norm_check_general<T>('F', M, N, ldb, strideB, hB_cpu, hB_device, batch_count);
          if(argus.unit_check)
          {
              unit_check_error(hipblas_error_host, tolerance);
              unit_check_error(hipblas_error_device, tolerance);
          }
      }
  
      if(argus.timing)
      {
          hipStream_t stream;
          CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));
          CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
  
          int runs = argus.cold_iters + argus.iters;
          for(int iter = 0; iter < runs; iter++)
          {
              if(iter == argus.cold_iters)
              {
                  gpu_time_used = get_time_us_sync(stream);
              }
  
              CHECK_HIPBLAS_ERROR(hipblasTrsmStridedBatchedExFn(handle,
                                                                side,
                                                                uplo,
                                                                transA,
                                                                diag,
                                                                M,
                                                                N,
                                                                d_alpha,
                                                                dA,
                                                                lda,
                                                                strideA,
                                                                dB,
                                                                ldb,
                                                                strideB,
                                                                batch_count,
                                                                dinvA,
                                                                invA_size,
                                                                stride_invA,
                                                                argus.compute_type));
          }
          gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
  
          ArgumentModel<e_side_option,
                        e_uplo_option,
                        e_transA_option,
                        e_diag_option,
                        e_M,
                        e_N,
                        e_alpha,
                        e_lda,
                        e_stride_a,
                        e_ldb,
                        e_stride_b,
                        e_batch_count>{}
              .log_args<T>(std::cout,
                           argus,
                           gpu_time_used,
                           trsm_gflop_count<T>(M, N, K),
                           trsm_gbyte_count<T>(M, N, K),
                           hipblas_error_host,
                           hipblas_error_device);
      }
  
      return HIPBLAS_STATUS_SUCCESS;
  }
  