text: /* ************************************************************************
   * Copyright 2018-2020 Advanced Micro Devices, Inc.
   * ************************************************************************ */
  
  #include "bytes.hpp"
  #include "cblas_interface.hpp"
  #include "flops.hpp"
  #include "near.hpp"
  #include "norm.hpp"
  #include "rocblas.hpp"
  #include "rocblas_init.hpp"
  #include "rocblas_math.hpp"
  #include "rocblas_random.hpp"
  #include "rocblas_test.hpp"
  #include "rocblas_vector.hpp"
  #include "unit.hpp"
  #include "utility.hpp"
  
  template <typename T>
  void testing_her2_strided_batched_bad_arg(const Arguments& arg)
  {
      const bool FORTRAN = arg.fortran;
      auto       rocblas_her2_strided_batched_fn
          = FORTRAN ? rocblas_her2_strided_batched<T, true> : rocblas_her2_strided_batched<T, false>;
  
      rocblas_fill   uplo        = rocblas_fill_upper;
      rocblas_int    N           = 10;
      rocblas_int    incx        = 1;
      rocblas_int    incy        = 1;
      rocblas_int    lda         = 10;
      T              alpha       = 0.6;
      rocblas_int    batch_count = 5;
      rocblas_stride stride_x    = 100;
      rocblas_stride stride_y    = 100;
      rocblas_stride stride_A    = 100;
  
      rocblas_local_handle handle;
  
      size_t size_A = size_t(N) * lda;
  
      // allocate memory on device
      device_strided_batch_vector<T> dA_1(size_A, 1, stride_A, batch_count);
      device_strided_batch_vector<T> dx(N, incx, stride_x, batch_count);
      device_strided_batch_vector<T> dy(N, incy, stride_y, batch_count);
      CHECK_DEVICE_ALLOCATION(dA_1.memcheck());
      CHECK_DEVICE_ALLOCATION(dx.memcheck());
      CHECK_DEVICE_ALLOCATION(dy.memcheck());
  
      EXPECT_ROCBLAS_STATUS((rocblas_her2_strided_batched<T>)(handle,
                                                              rocblas_fill_full,
                                                              N,
                                                              &alpha,
                                                              dx,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              incy,
                                                              stride_y,
                                                              dA_1,
                                                              lda,
                                                              stride_A,
                                                              batch_count),
                            rocblas_status_invalid_value);
  
      EXPECT_ROCBLAS_STATUS((rocblas_her2_strided_batched<T>)(handle,
                                                              uplo,
                                                              N,
                                                              &alpha,
                                                              nullptr,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              incy,
                                                              stride_y,
                                                              dA_1,
                                                              lda,
                                                              stride_A,
                                                              batch_count),
                            rocblas_status_invalid_pointer);
  
      EXPECT_ROCBLAS_STATUS((rocblas_her2_strided_batched<T>)(handle,
                                                              uplo,
                                                              N,
                                                              &alpha,
                                                              dx,
                                                              incx,
                                                              stride_x,
                                                              nullptr,
                                                              incy,
                                                              stride_y,
                                                              dA_1,
                                                              lda,
                                                              stride_A,
                                                              batch_count),
                            rocblas_status_invalid_pointer);
  
      EXPECT_ROCBLAS_STATUS((rocblas_her2_strided_batched<T>)(handle,
                                                              uplo,
                                                              N,
                                                              &alpha,
                                                              dx,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              incy,
                                                              stride_y,
                                                              nullptr,
                                                              lda,
                                                              stride_A,
                                                              batch_count),
                            rocblas_status_invalid_pointer);
  
      EXPECT_ROCBLAS_STATUS((rocblas_her2_strided_batched<T>)(nullptr,
                                                              uplo,
                                                              N,
                                                              &alpha,
                                                              dx,
                                                              incx,
                                                              stride_x,
                                                              dy,
                                                              incy,
                                                              stride_y,
                                                              dA_1,
                                                              lda,
                                                              stride_A,
                                                              batch_count),
                            rocblas_status_invalid_handle);
  }
  
  template <typename T>
  void testing_her2_strided_batched(const Arguments& arg)
  {
      const bool FORTRAN = arg.fortran;
      auto       rocblas_her2_strided_batched_fn
          = FORTRAN ? rocblas_her2_strided_batched<T, true> : rocblas_her2_strided_batched<T, false>;
  
      rocblas_int    N           = arg.N;
      rocblas_int    lda         = arg.lda;
      rocblas_int    incx        = arg.incx;
      rocblas_int    incy        = arg.incy;
      T              h_alpha     = arg.get_alpha<T>();
      rocblas_fill   uplo        = char2rocblas_fill(arg.uplo);
      rocblas_stride stride_x    = arg.stride_x;
      rocblas_stride stride_y    = arg.stride_y;
      rocblas_stride stride_A    = arg.stride_a;
      rocblas_int    batch_count = arg.batch_count;
  
      rocblas_local_handle handle;
  
      // argument check before allocating invalid memory
      bool invalid_size = N < 0 || lda < 1 || lda < N || !incx || !incy || batch_count < 0;
      if(invalid_size || !N || !batch_count)
      {
          EXPECT_ROCBLAS_STATUS((rocblas_her2_strided_batched<T>)(handle,
                                                                  uplo,
                                                                  N,
                                                                  nullptr,
                                                                  nullptr,
                                                                  incx,
                                                                  stride_x,
                                                                  nullptr,
                                                                  incy,
                                                                  stride_y,
                                                                  nullptr,
                                                                  lda,
                                                                  stride_A,
                                                                  batch_count),
                                invalid_size ? rocblas_status_invalid_size : rocblas_status_success);
          return;
      }
  
      size_t abs_incx = incx >= 0 ? incx : -incx;
      size_t abs_incy = incy >= 0 ? incy : -incy;
      size_t size_A   = size_t(N) * lda;
  
      // Naming: dK is in GPU (device) memory. hK is in CPU (host) memory
      host_strided_batch_vector<T> hA_1(size_A, 1, stride_A, batch_count);
      host_strided_batch_vector<T> hA_2(size_A, 1, stride_A, batch_count);
      host_strided_batch_vector<T> hA_gold(size_A, 1, stride_A, batch_count);
      host_strided_batch_vector<T> hx(N, incx, stride_x, batch_count);
      host_strided_batch_vector<T> hy(N, incy, stride_y, batch_count);
      host_vector<T>               halpha(1);
      CHECK_HIP_ERROR(hA_1.memcheck());
      CHECK_HIP_ERROR(hA_2.memcheck());
      CHECK_HIP_ERROR(hA_gold.memcheck());
      CHECK_HIP_ERROR(hx.memcheck());
      CHECK_HIP_ERROR(hy.memcheck());
      CHECK_HIP_ERROR(halpha.memcheck());
  
      halpha[0] = h_alpha;
  
      // allocate memory on device
      device_strided_batch_vector<T> dA_1(size_A, 1, stride_A, batch_count);
      device_strided_batch_vector<T> dA_2(size_A, 1, stride_A, batch_count);
      device_strided_batch_vector<T> dx(N, incx, stride_x, batch_count);
      device_strided_batch_vector<T> dy(N, incy, stride_y, batch_count);
      device_vector<T>               d_alpha(1);
      CHECK_DEVICE_ALLOCATION(dA_1.memcheck());
      CHECK_DEVICE_ALLOCATION(dA_2.memcheck());
      CHECK_DEVICE_ALLOCATION(dx.memcheck());
      CHECK_DEVICE_ALLOCATION(dy.memcheck());
      CHECK_DEVICE_ALLOCATION(d_alpha.memcheck());
  
      double gpu_time_used, cpu_time_used;
      double rocblas_gflops, cblas_gflops, rocblas_bandwidth;
      double rocblas_error_1;
      double rocblas_error_2;
  
      // Initial Data on CPU
      rocblas_init<T>(hA_1, true);
      rocblas_init<T>(hx, false);
      rocblas_init<T>(hy, false);
  
      hA_2.copy_from(hA_1);
      hA_gold.copy_from(hA_1);
  
      // copy data from CPU to device
      CHECK_HIP_ERROR(dA_1.transfer_from(hA_1));
      CHECK_HIP_ERROR(dA_2.transfer_from(hA_1));
      CHECK_HIP_ERROR(dx.transfer_from(hx));
      CHECK_HIP_ERROR(dy.transfer_from(hy));
      CHECK_HIP_ERROR(d_alpha.transfer_from(halpha));
  
      if(arg.unit_check || arg.norm_check)
      {
          CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
          CHECK_ROCBLAS_ERROR((rocblas_her2_strided_batched<T>)(handle,
                                                                uplo,
                                                                N,
                                                                &h_alpha,
                                                                dx,
                                                                incx,
                                                                stride_x,
                                                                dy,
                                                                incy,
                                                                stride_y,
                                                                dA_1,
                                                                lda,
                                                                stride_A,
                                                                batch_count));
  
          CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
          CHECK_ROCBLAS_ERROR((rocblas_her2_strided_batched<T>)(handle,
                                                                uplo,
                                                                N,
                                                                d_alpha,
                                                                dx,
                                                                incx,
                                                                stride_x,
                                                                dy,
                                                                incy,
                                                                stride_y,
                                                                dA_2,
                                                                lda,
                                                                stride_A,
                                                                batch_count));
  
          // copy output from device to CPU
          CHECK_HIP_ERROR(hA_1.transfer_from(dA_1));
          CHECK_HIP_ERROR(hA_2.transfer_from(dA_2));
  
          // CPU BLAS
          cpu_time_used = get_time_us();
          for(int i = 0; i < batch_count; i++)
          {
              cblas_her2<T>(uplo, N, h_alpha, hx[i], incx, hy[i], incy, hA_gold[i], lda);
          }
          cpu_time_used = get_time_us() - cpu_time_used;
          cblas_gflops  = batch_count * her2_gflop_count<T>(N) / cpu_time_used * 1e6;
  
          if(arg.unit_check)
          {
              const double tol = N * sum_error_tolerance<T>;
              near_check_general<T>(N, N, lda, stride_A, hA_gold, hA_1, batch_count, tol);
              near_check_general<T>(N, N, lda, stride_A, hA_gold, hA_2, batch_count, tol);
          }
  
          if(arg.norm_check)
          {
              rocblas_error_1
                  = norm_check_general<T>('F', N, N, lda, stride_A, hA_gold, hA_1, batch_count);
              rocblas_error_2
                  = norm_check_general<T>('F', N, N, lda, stride_A, hA_gold, hA_2, batch_count);
          }
      }
  
      if(arg.timing)
      {
          int number_cold_calls = arg.cold_iters;
          int number_hot_calls  = arg.iters;
          CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
  
          for(int iter = 0; iter < number_cold_calls; iter++)
          {
              rocblas_her2_strided_batched<T>(handle,
                                              uplo,
                                              N,
                                              &h_alpha,
                                              dx,
                                              incx,
                                              stride_x,
                                              dy,
                                              incy,
                                              stride_y,
                                              dA_1,
                                              lda,
                                              stride_A,
                                              batch_count);
          }
  
          gpu_time_used = get_time_us(); // in microseconds
  
          for(int iter = 0; iter < number_hot_calls; iter++)
          {
              rocblas_her2_strided_batched<T>(handle,
                                              uplo,
                                              N,
                                              &h_alpha,
                                              dx,
                                              incx,
                                              stride_x,
                                              dy,
                                              incy,
                                              stride_y,
                                              dA_1,
                                              lda,
                                              stride_A,
                                              batch_count);
          }
  
          gpu_time_used     = (get_time_us() - gpu_time_used) / number_hot_calls;
          rocblas_gflops    = batch_count * her2_gflop_count<T>(N) / gpu_time_used * 1e6;
          rocblas_bandwidth = batch_count * her2_gbyte_count<T>(N) / gpu_time_used * 1e6;
  
          // only norm_check return an norm error, unit check won't return anything
          rocblas_cout
              << "N,alpha,lda,incx,incy,stride_x,stride_y,stride_A,batch_count,rocblas-Gflops,"
                 "rocblas-GB/s";
  
          if(arg.norm_check)
              rocblas_cout << ",CPU-Gflops,norm_error_host_ptr,norm_error_dev_ptr";
  
          rocblas_cout << std::endl;
  
          rocblas_cout << N << "," << h_alpha << "," << lda << "," << incx << "," << incy << ","
                       << stride_x << "," << stride_y << "," << stride_A << "," << batch_count << ","
                       << rocblas_gflops << "," << rocblas_bandwidth;
  
          if(arg.norm_check)
              rocblas_cout << "," << cblas_gflops << "," << rocblas_error_1 << "," << rocblas_error_2;
  
          rocblas_cout << std::endl;
      }
  }
  