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TheRock/rocm-libraries/projects/hipblas/clients/include/blas1/testing_rot_batched.hpp
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derek.holloway 7502bf64a4
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Flatten subprojects into a single base monorepo
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268 lines
10 KiB
C++

/* ************************************************************************
* Copyright (C) 2016-2025 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 <stdio.h>
#include <stdlib.h>
#include <vector>
#include "testing_common.hpp"
/* ============================================================================================ */
using hipblasRotBatchedModel
= ArgumentModel<e_a_type, e_c_type, e_compute_type, e_N, e_incx, e_incy, e_batch_count>;
inline void testname_rot_batched(const Arguments& arg, std::string& name)
{
hipblasRotBatchedModel{}.test_name(arg, name);
}
template <typename T, typename U = T, typename V = T>
void testing_rot_batched_bad_arg(const Arguments& arg)
{
bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
auto hipblasRotBatchedFn
= FORTRAN ? hipblasRotBatched<T, U, V, true> : hipblasRotBatched<T, U, V, false>;
auto hipblasRotBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotBatched_64<T, U, V, true>
: hipblasRotBatched_64<T, U, V, false>;
int64_t N = 100;
int64_t incx = 1;
int64_t incy = 1;
int64_t batch_count = 2;
hipblasLocalHandle handle(arg);
device_batch_vector<T> dx(N, incx, batch_count);
device_batch_vector<T> dy(N, incy, batch_count);
device_vector<U> dc(1);
device_vector<V> ds(1);
DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
hipblasRotBatchedFn,
(nullptr, N, dx, incx, dy, incy, dc, ds, batch_count));
DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
hipblasRotBatchedFn,
(handle, N, nullptr, incx, dy, incy, dc, ds, batch_count));
DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
hipblasRotBatchedFn,
(handle, N, dx, incx, nullptr, incy, dc, ds, batch_count));
DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
hipblasRotBatchedFn,
(handle, N, dx, incx, dy, incy, nullptr, ds, batch_count));
DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
hipblasRotBatchedFn,
(handle, N, dx, incx, dy, incy, dc, nullptr, batch_count));
}
template <typename T, typename U = T, typename V = T>
void testing_rot_batched(const Arguments& arg)
{
bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
auto hipblasRotBatchedFn
= FORTRAN ? hipblasRotBatched<T, U, V, true> : hipblasRotBatched<T, U, V, false>;
auto hipblasRotBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotBatched_64<T, U, V, true>
: hipblasRotBatched_64<T, U, V, false>;
int64_t N = arg.N;
int64_t incx = arg.incx;
int64_t incy = arg.incy;
int64_t batch_count = arg.batch_count;
const U rel_error = std::numeric_limits<U>::epsilon() * 1000;
hipblasLocalHandle handle(arg);
// check to prevent undefined memory allocation error
if(N <= 0 || batch_count <= 0)
{
DAPI_CHECK(hipblasRotBatchedFn,
(handle, N, nullptr, incx, nullptr, incy, nullptr, nullptr, batch_count));
return;
}
int64_t abs_incx = incx >= 0 ? incx : -incx;
int64_t abs_incy = incy >= 0 ? incy : -incy;
double gpu_time_used{0}, hipblas_error_host{0}, hipblas_error_device{0};
device_batch_vector<T> dx(N, incx, batch_count);
device_batch_vector<T> dy(N, incy, batch_count);
device_vector<U> dc(1);
device_vector<V> ds(1);
CHECK_DEVICE_ALLOCATION(dx.memcheck());
CHECK_DEVICE_ALLOCATION(dy.memcheck());
CHECK_DEVICE_ALLOCATION(dc.memcheck());
CHECK_DEVICE_ALLOCATION(ds.memcheck());
// Initial Data on CPU
host_batch_vector<T> hx(N, incx, batch_count);
host_batch_vector<T> hy(N, incy, batch_count);
host_vector<U> hc(1);
host_vector<V> hs(1);
// Random alpha (0 - 10)
host_vector<int> alpha(1);
hipblas_init_vector(hx, arg, hipblas_client_never_set_nan, true);
hipblas_init_vector(hy, arg, hipblas_client_never_set_nan, false);
hipblas_init_vector(alpha, arg, hipblas_client_never_set_nan, false);
// cos and sin of alpha (in rads)
hc[0] = cos(alpha[0]);
hs[0] = sin(alpha[0]);
// CPU BLAS reference data
host_batch_vector<T> cx(N, incx, batch_count);
host_batch_vector<T> cy(N, incy, batch_count);
cx.copy_from(hx);
cy.copy_from(hy);
// ref_rotg<T, U>(cx, cy, hc, hs);
// cx[0] = hx[0];
// cy[0] = hy[0];
for(int64_t b = 0; b < batch_count; b++)
{
ref_rot<T, U, V>(N, cx[b], incx, cy[b], incy, *hc, *hs);
}
if(arg.unit_check || arg.norm_check)
{
// Test host
{
CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
CHECK_HIP_ERROR(dx.transfer_from(hx));
CHECK_HIP_ERROR(dy.transfer_from(hy));
DAPI_CHECK(hipblasRotBatchedFn,
(handle,
N,
dx.ptr_on_device(),
incx,
dy.ptr_on_device(),
incy,
hc.internal_type(),
hs.internal_type(),
batch_count));
host_batch_vector<T> rx(N, incx, batch_count);
host_batch_vector<T> ry(N, incy, batch_count);
CHECK_HIP_ERROR(rx.transfer_from(dx));
CHECK_HIP_ERROR(ry.transfer_from(dy));
if(arg.unit_check)
{
for(int64_t b = 0; b < batch_count; b++)
{
near_check_general(1, N, abs_incx, cx[b], rx[b], rel_error);
near_check_general(1, N, abs_incy, cy[b], ry[b], rel_error);
}
}
if(arg.norm_check)
{
hipblas_error_host
= norm_check_general<T>('F', 1, N, abs_incx, cx, rx, batch_count);
hipblas_error_host
+= norm_check_general<T>('F', 1, N, abs_incy, cy, ry, batch_count);
}
}
// Test device
{
CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
CHECK_HIP_ERROR(dx.transfer_from(hx));
CHECK_HIP_ERROR(dy.transfer_from(hy));
CHECK_HIP_ERROR(hipMemcpy(dc, hc, sizeof(U), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(ds, hs, sizeof(V), hipMemcpyHostToDevice));
DAPI_CHECK(hipblasRotBatchedFn,
(handle,
N,
dx.ptr_on_device(),
incx,
dy.ptr_on_device(),
incy,
dc,
ds,
batch_count));
host_batch_vector<T> rx(N, incx, batch_count);
host_batch_vector<T> ry(N, incy, batch_count);
CHECK_HIP_ERROR(rx.transfer_from(dx));
CHECK_HIP_ERROR(ry.transfer_from(dy));
if(arg.unit_check)
{
for(int64_t b = 0; b < batch_count; b++)
{
near_check_general(1, N, abs_incx, cx[b], rx[b], rel_error);
near_check_general(1, N, abs_incy, cy[b], ry[b], rel_error);
}
}
if(arg.norm_check)
{
hipblas_error_device
= norm_check_general<T>('F', 1, N, abs_incx, cx, rx, batch_count);
hipblas_error_device
+= norm_check_general<T>('F', 1, N, abs_incy, cy, ry, batch_count);
}
}
}
if(arg.timing)
{
CHECK_HIP_ERROR(dx.transfer_from(hx));
CHECK_HIP_ERROR(dy.transfer_from(hy));
CHECK_HIP_ERROR(hipMemcpy(dc, hc, sizeof(U), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(ds, hs, sizeof(V), hipMemcpyHostToDevice));
hipStream_t stream;
CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));
CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
int runs = arg.cold_iters + arg.iters;
for(int iter = 0; iter < runs; iter++)
{
if(iter == arg.cold_iters)
gpu_time_used = get_time_us_sync(stream);
DAPI_CHECK(hipblasRotBatchedFn,
(handle,
N,
dx.ptr_on_device(),
incx,
dy.ptr_on_device(),
incy,
dc,
ds,
batch_count));
}
gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
hipblasRotBatchedModel{}.log_args<T>(std::cout,
arg,
gpu_time_used,
rot_gflop_count<T, T, U, V>(N),
rot_gbyte_count<T>(N),
hipblas_error_host,
hipblas_error_device);
}
}