derek.holloway
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451 lines
17 KiB
C++
451 lines
17 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 <fstream>
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#include <iostream>
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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 hipblasHpmvBatchedModel
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= ArgumentModel<e_a_type, e_uplo, e_N, e_alpha, e_incx, e_beta, e_incy, e_batch_count>;
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inline void testname_hpmv_batched(const Arguments& arg, std::string& name)
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{
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hipblasHpmvBatchedModel{}.test_name(arg, name);
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}
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template <typename T>
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void testing_hpmv_batched_bad_arg(const Arguments& arg)
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{
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using Ts = hipblas_internal_type<T>;
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasHpmvBatchedFn
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= FORTRAN ? hipblasHpmvBatched<T, true> : hipblasHpmvBatched<T, false>;
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auto hipblasHpmvBatchedFn_64
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= arg.api == FORTRAN_64 ? hipblasHpmvBatched_64<T, true> : hipblasHpmvBatched_64<T, false>;
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for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE})
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{
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hipblasLocalHandle handle(arg);
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode));
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hipblasFillMode_t uplo = HIPBLAS_FILL_MODE_UPPER;
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int64_t N = 100;
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int64_t incx = 1;
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int64_t incy = 1;
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int64_t batch_count = 2;
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int64_t A_size = N * (N + 1) / 2;
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device_vector<T> d_alpha(1), d_beta(1), d_one(1), d_zero(1);
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Ts h_alpha{1}, h_beta{2}, h_one{1}, h_zero{0};
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if constexpr(is_complex<T>)
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h_one = {1, 0};
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const Ts* alpha = &h_alpha;
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const Ts* beta = &h_beta;
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const Ts* one = &h_one;
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const Ts* zero = &h_zero;
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if(pointer_mode == HIPBLAS_POINTER_MODE_DEVICE)
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{
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CHECK_HIP_ERROR(hipMemcpy(d_alpha, alpha, sizeof(*alpha), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_beta, beta, sizeof(*beta), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_one, one, sizeof(*one), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_zero, zero, sizeof(*zero), hipMemcpyHostToDevice));
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alpha = d_alpha;
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beta = d_beta;
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one = d_one;
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zero = d_zero;
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}
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device_batch_vector<T> dAp(1, hipblas_packed_matrix_size(N), 1, batch_count);
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device_batch_vector<T> dx(N, incx, batch_count);
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device_batch_vector<T> dy(N, incy, batch_count);
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DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
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hipblasHpmvBatchedFn,
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(nullptr,
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uplo,
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N,
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alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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HIPBLAS_FILL_MODE_FULL,
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N,
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alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM,
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hipblasHpmvBatchedFn,
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(handle,
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(hipblasFillMode_t)HIPBLAS_OP_N,
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N,
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alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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nullptr,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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nullptr,
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dy.ptr_on_device(),
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incy,
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batch_count));
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if(pointer_mode == HIPBLAS_POINTER_MODE_HOST)
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{
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// For device mode in rocBLAS we don't have checks for dAp, dx, dy as we may be able to quick return
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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alpha,
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nullptr,
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dx.ptr_on_device(),
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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alpha,
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dAp.ptr_on_device(),
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nullptr,
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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beta,
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nullptr,
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incy,
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batch_count));
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// rocBLAS implementation has alpha == 0 quick return after arg checks, so if we're using 32-bit params,
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// this should fail with invalid-value as c_i32_overflow will rollover to -2147483648
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// Note: that this strategy can't check incx as rocBLAS supports negative. Also depends on implementation so not testing cuBLAS for now
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DAPI_EXPECT((arg.api & c_API_64) ? HIPBLAS_STATUS_SUCCESS
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: HIPBLAS_STATUS_INVALID_VALUE,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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c_i32_overflow,
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zero,
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nullptr,
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nullptr,
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incx,
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one,
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nullptr,
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incy,
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batch_count));
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}
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// With N == 0, can have all nullptrs
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DAPI_CHECK(hipblasHpmvBatchedFn,
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(handle,
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uplo,
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0,
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nullptr,
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nullptr,
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nullptr,
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incx,
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nullptr,
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nullptr,
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incy,
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batch_count));
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DAPI_CHECK(hipblasHpmvBatchedFn,
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(handle, uplo, N, nullptr, nullptr, nullptr, incx, nullptr, nullptr, incy, 0));
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// With alpha == 0 can have A and x nullptr
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DAPI_CHECK(hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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zero,
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nullptr,
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nullptr,
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incx,
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beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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// With alpha == 0 && beta == 1, all other ptrs can be nullptr
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DAPI_CHECK(
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hipblasHpmvBatchedFn,
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(handle, uplo, N, zero, nullptr, nullptr, incx, one, nullptr, incy, batch_count));
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}
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}
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template <typename T>
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void testing_hpmv_batched(const Arguments& arg)
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{
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using Ts = hipblas_internal_type<T>;
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bool FORTRAN = arg.api == hipblas_client_api::FORTRAN;
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auto hipblasHpmvBatchedFn
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= FORTRAN ? hipblasHpmvBatched<T, true> : hipblasHpmvBatched<T, false>;
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auto hipblasHpmvBatchedFn_64
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= arg.api == FORTRAN_64 ? hipblasHpmvBatched_64<T, true> : hipblasHpmvBatched_64<T, false>;
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hipblasFillMode_t uplo = char2hipblas_fill(arg.uplo);
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int64_t N = arg.N;
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int64_t incx = arg.incx;
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int64_t incy = arg.incy;
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int64_t batch_count = arg.batch_count;
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size_t abs_incy = incy >= 0 ? incy : -incy;
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size_t A_size = N * (N + 1) / 2;
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hipblasLocalHandle handle(arg);
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// argument sanity check, quick return if input parameters are invalid before allocating invalid
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// memory
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bool invalid_size = N < 0 || !incx || !incy || batch_count < 0;
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if(invalid_size || !N || !batch_count)
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{
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DAPI_EXPECT(invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS,
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hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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nullptr,
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nullptr,
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nullptr,
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incx,
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nullptr,
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nullptr,
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incy,
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batch_count));
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return;
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}
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double hipblas_error_host{0}, hipblas_error_device{0};
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T h_alpha = arg.get_alpha<T>();
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T h_beta = arg.get_beta<T>();
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// arrays of pointers-to-host on host
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host_batch_matrix<T> hA(N, N, N, batch_count);
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host_batch_matrix<T> hAp(1, hipblas_packed_matrix_size(N), 1, batch_count);
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host_batch_vector<T> hx(N, incx, batch_count);
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host_batch_vector<T> hy(N, incy, batch_count);
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host_batch_vector<T> hy_cpu(N, incy, batch_count);
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host_batch_vector<T> hy_host(N, incy, batch_count);
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host_batch_vector<T> hy_device(N, incy, batch_count);
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// arrays of pointers-to-device on host
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device_batch_matrix<T> dAp(1, hipblas_packed_matrix_size(N), 1, batch_count);
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device_batch_vector<T> dx(N, incx, batch_count);
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device_batch_vector<T> dy(N, incy, batch_count);
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device_vector<T> d_alpha(1);
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device_vector<T> d_beta(1);
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// Check device memory allocation
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CHECK_DEVICE_ALLOCATION(dAp.memcheck());
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CHECK_DEVICE_ALLOCATION(dx.memcheck());
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CHECK_DEVICE_ALLOCATION(dy.memcheck());
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CHECK_DEVICE_ALLOCATION(d_alpha.memcheck());
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CHECK_DEVICE_ALLOCATION(d_beta.memcheck());
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// Initial Data on CPU
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hipblas_init_matrix(hA, arg, hipblas_client_never_set_nan, hipblas_hermitian_matrix, true);
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hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, false, true);
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hipblas_init_vector(hy, arg, hipblas_client_alpha_sets_nan);
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// helper function to convert Regular matrix `hA` to packed matrix `hAp`
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regular_to_packed(uplo == HIPBLAS_FILL_MODE_UPPER, hA, hAp, N);
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// copy vector
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hy_cpu.copy_from(hy);
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// copy data from CPU to device
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CHECK_HIP_ERROR(dAp.transfer_from(hAp));
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CHECK_HIP_ERROR(dx.transfer_from(hx));
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CHECK_HIP_ERROR(dy.transfer_from(hy));
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CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));
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if(arg.unit_check || arg.norm_check)
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{
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/* =====================================================================
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HIPBLAS
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=================================================================== */
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST));
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DAPI_CHECK(hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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reinterpret_cast<Ts*>(&h_alpha),
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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reinterpret_cast<Ts*>(&h_beta),
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dy.ptr_on_device(),
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incy,
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batch_count));
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CHECK_HIP_ERROR(hy_host.transfer_from(dy));
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CHECK_HIP_ERROR(dy.transfer_from(hy));
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CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE));
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DAPI_CHECK(hipblasHpmvBatchedFn,
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(handle,
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uplo,
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N,
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d_alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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d_beta,
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dy.ptr_on_device(),
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incy,
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batch_count));
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CHECK_HIP_ERROR(hy_device.transfer_from(dy));
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/* =====================================================================
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CPU BLAS
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=================================================================== */
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for(size_t b = 0; b < batch_count; b++)
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{
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ref_hpmv<T>(uplo, N, h_alpha, hAp[b], hx[b], incx, h_beta, hy_cpu[b], incy);
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}
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// enable unit check, notice unit check is not invasive, but norm check is,
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// unit check and norm check can not be interchanged their order
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if(arg.unit_check)
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{
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unit_check_general<T>(1, N, batch_count, abs_incy, hy_cpu, hy_host);
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unit_check_general<T>(1, N, batch_count, abs_incy, hy_cpu, hy_device);
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}
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if(arg.norm_check)
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{
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hipblas_error_host
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= norm_check_general<T>('F', 1, N, abs_incy, hy_cpu, hy_host, batch_count);
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hipblas_error_device
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= norm_check_general<T>('F', 1, N, abs_incy, hy_cpu, hy_device, 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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double gpu_time_used{0};
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CHECK_HIP_ERROR(dy.transfer_from(hy));
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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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CHECK_HIPBLAS_ERROR(hipblasHpmvBatchedFn(handle,
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uplo,
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N,
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d_alpha,
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dAp.ptr_on_device(),
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dx.ptr_on_device(),
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incx,
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d_beta,
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dy.ptr_on_device(),
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incy,
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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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hipblasHpmvBatchedModel{}.log_args<T>(std::cout,
|
|
arg,
|
|
gpu_time_used,
|
|
hpmv_gflop_count<T>(N),
|
|
hpmv_gbyte_count<T>(N),
|
|
hipblas_error_host,
|
|
hipblas_error_device);
|
|
}
|
|
}
|