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605 lines
22 KiB
C++
605 lines
22 KiB
C++
/* ************************************************************************
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* Copyright (C) 2018-2025 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 cop-
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* ies of the Software, and to permit persons to whom the Software is furnished
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* 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 all
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* 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 IM-
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* PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
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* CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*
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*
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* ************************************************************************ */
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#pragma once
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#include "testing_common.hpp"
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//The Template parameter Ti, Tex and To is to test the special cases where the input/compute/output types could be HSH (Half, single, half), HSS (Half, single, single),
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// TST (rocblas_bfloat16, single, rocblas_bfloat16), TSS (rocblas_bfloat16, single, single)
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// Ti==Tex==To (float, double, rocblas_complex_float, rocblas_complex double)
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template <typename Ti, typename Tex = Ti, typename To = Tex>
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void testing_gemv_batched_bad_arg(const Arguments& arg)
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{
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auto rocblas_gemv_batched_fn = arg.api & c_API_FORTRAN
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? rocblas_gemv_batched<Ti, Tex, To, true>
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: rocblas_gemv_batched<Ti, Tex, To, false>;
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auto rocblas_gemv_batched_fn_64 = arg.api & c_API_FORTRAN
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? rocblas_gemv_batched_64<Ti, Tex, To, true>
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: rocblas_gemv_batched_64<Ti, Tex, To, false>;
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for(auto pointer_mode : {rocblas_pointer_mode_host, rocblas_pointer_mode_device})
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{
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rocblas_local_handle handle{arg};
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CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, pointer_mode));
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const rocblas_operation transA = rocblas_operation_none;
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const int64_t M = 100;
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const int64_t N = 100;
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const int64_t lda = 100;
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const int64_t incx = 1;
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const int64_t incy = 1;
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const int64_t batch_count = 2;
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DEVICE_MEMCHECK(device_vector<Tex>, alpha_d, (1));
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DEVICE_MEMCHECK(device_vector<Tex>, beta_d, (1));
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DEVICE_MEMCHECK(device_vector<Tex>, zero_d, (1));
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DEVICE_MEMCHECK(device_vector<Tex>, one_d, (1));
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const Tex alpha_h(1), beta_h(1), zero_h(0), one_h(1);
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const Tex* alpha = &alpha_h;
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const Tex* beta = &beta_h;
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const Tex* zero = &zero_h;
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const Tex* one = &one_h;
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if(pointer_mode == rocblas_pointer_mode_device)
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{
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CHECK_HIP_ERROR(hipMemcpy(alpha_d, alpha, sizeof(*alpha), hipMemcpyHostToDevice));
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alpha = alpha_d;
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CHECK_HIP_ERROR(hipMemcpy(beta_d, beta, sizeof(*beta), hipMemcpyHostToDevice));
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beta = beta_d;
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CHECK_HIP_ERROR(hipMemcpy(zero_d, zero, sizeof(*zero), hipMemcpyHostToDevice));
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zero = zero_d;
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CHECK_HIP_ERROR(hipMemcpy(one_d, one, sizeof(*one), hipMemcpyHostToDevice));
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one = one_d;
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}
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// Allocate device memory
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DEVICE_MEMCHECK(device_batch_matrix<Ti>, dA, (M, N, lda, batch_count));
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DEVICE_MEMCHECK(device_batch_vector<Ti>, dx, (N, incx, batch_count));
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DEVICE_MEMCHECK(device_batch_vector<To>, dy, (N, incx, batch_count));
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DAPI_EXPECT(rocblas_status_invalid_handle,
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rocblas_gemv_batched_fn,
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(nullptr,
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transA,
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M,
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N,
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alpha,
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dA.ptr_on_device(),
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lda,
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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(rocblas_status_invalid_value,
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rocblas_gemv_batched_fn,
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(handle,
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(rocblas_operation)rocblas_fill_full,
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M,
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N,
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alpha,
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dA.ptr_on_device(),
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lda,
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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(rocblas_status_invalid_pointer,
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rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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nullptr,
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dA.ptr_on_device(),
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lda,
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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(rocblas_status_invalid_pointer,
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rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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alpha,
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dA.ptr_on_device(),
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lda,
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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 == rocblas_pointer_mode_host)
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{
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DAPI_EXPECT(rocblas_status_invalid_pointer,
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rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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alpha,
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nullptr,
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lda,
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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(rocblas_status_invalid_pointer,
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rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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alpha,
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dA.ptr_on_device(),
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lda,
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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(rocblas_status_invalid_pointer,
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rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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alpha,
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dA.ptr_on_device(),
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lda,
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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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}
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// If M==0, then all pointers may be nullptr without error
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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0,
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N,
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nullptr,
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nullptr,
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lda,
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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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// If N==0, then all pointers may be nullptr without error
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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0,
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nullptr,
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nullptr,
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lda,
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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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// If alpha==0, then A and X may be nullptr without error
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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zero,
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nullptr,
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lda,
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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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// If alpha==0 && beta==1, then A, X and Y may be nullptr without error
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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zero,
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nullptr,
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lda,
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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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// If batch_count==0, then all pointers may be nullptr without error
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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nullptr,
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nullptr,
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lda,
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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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0));
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}
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}
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//The Template parameter Ti, Tex and To is to test the special cases where the input/compute/output types could be HSH (Half, single, half), HSS (Half, single, single),
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// TST (rocblas_bfloat16, single, rocblas_bfloat16), TSS (rocblas_bfloat16, single, single)
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// Ti==Tex==To (float, double, rocblas_complex_float, rocblas_complex double)
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template <typename Ti, typename Tex = Ti, typename To = Tex>
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void testing_gemv_batched(const Arguments& arg)
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{
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auto rocblas_gemv_batched_fn = arg.api & c_API_FORTRAN
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? rocblas_gemv_batched<Ti, Tex, To, true>
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: rocblas_gemv_batched<Ti, Tex, To, false>;
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auto rocblas_gemv_batched_fn_64 = arg.api & c_API_FORTRAN
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? rocblas_gemv_batched_64<Ti, Tex, To, true>
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: rocblas_gemv_batched_64<Ti, Tex, To, false>;
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int64_t M = arg.M;
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int64_t N = arg.N;
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int64_t lda = arg.lda;
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int64_t incx = arg.incx;
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int64_t incy = arg.incy;
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Tex h_alpha = arg.get_alpha<Tex>();
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Tex h_beta = arg.get_beta<Tex>();
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rocblas_operation transA = char2rocblas_operation(arg.transA);
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int64_t batch_count = arg.batch_count;
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bool ab_striding = arg.alpha_beta_stride;
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int64_t alpha_stride = ab_striding ? arg.stride_c : 0;
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int64_t beta_stride = ab_striding ? arg.stride_d : 0;
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rocblas_local_handle handle{arg};
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// argument sanity check before allocating invalid memory
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bool invalid_size = M < 0 || N < 0 || lda < M || lda < 1 || !incx || !incy || batch_count < 0;
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if(invalid_size || !M || !N || !batch_count)
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{
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DAPI_EXPECT(invalid_size ? rocblas_status_invalid_size : rocblas_status_success,
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rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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nullptr,
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nullptr,
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lda,
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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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size_t dim_x;
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size_t dim_y;
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if(transA == rocblas_operation_none)
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{
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dim_x = N;
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dim_y = M;
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}
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else
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{
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dim_x = M;
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dim_y = N;
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}
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// Naming: `h` is in CPU (host) memory(eg hA), `d` is in GPU (device) memory (eg dA).
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// Allocate host memory
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HOST_MEMCHECK(host_batch_matrix<Ti>, hA, (M, N, lda, batch_count));
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HOST_MEMCHECK(host_batch_vector<Ti>, hx, (dim_x, incx, batch_count));
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HOST_MEMCHECK(host_batch_vector<To>, hy, (dim_y, incy, batch_count));
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HOST_MEMCHECK(host_batch_vector<To>, hy_gold, (dim_y, incy, batch_count));
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HOST_MEMCHECK(host_vector<Tex>, halpha, (batch_count, alpha_stride));
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HOST_MEMCHECK(host_vector<Tex>, hbeta, (batch_count, beta_stride));
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// Allocate device memory
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DEVICE_MEMCHECK(device_batch_matrix<Ti>, dA, (M, N, lda, batch_count));
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DEVICE_MEMCHECK(device_batch_vector<Ti>, dx, (dim_x, incx, batch_count));
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DEVICE_MEMCHECK(device_batch_vector<To>, dy, (dim_y, incy, batch_count));
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DEVICE_MEMCHECK(device_vector<Tex>, d_alpha, (batch_count, alpha_stride));
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DEVICE_MEMCHECK(device_vector<Tex>, d_beta, (batch_count, beta_stride));
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// Initialize data on host memory
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rocblas_init_matrix(
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hA, arg, rocblas_client_alpha_sets_nan, rocblas_client_general_matrix, true);
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rocblas_init_vector(hx, arg, rocblas_client_alpha_sets_nan, false, true);
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rocblas_init_vector(hy, arg, rocblas_client_beta_sets_nan);
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rocblas_init_vector_alternating_sign(halpha, h_alpha);
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rocblas_init_vector_alternating_sign(hbeta, h_beta);
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hy_gold.copy_from(hy);
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CHECK_HIP_ERROR(dA.transfer_from(hA));
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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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double cpu_time_used;
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double error_host;
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double error_device;
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/* =====================================================================
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ROCBLAS
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=================================================================== */
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if(arg.unit_check || arg.norm_check)
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{
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if(arg.pointer_mode_host)
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{
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CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
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handle.pre_test(arg);
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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&h_alpha,
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dA.ptr_on_device(),
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lda,
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dx.ptr_on_device(),
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incx,
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&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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handle.post_test(arg);
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CHECK_HIP_ERROR(hy.transfer_from(dy));
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}
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if(arg.pointer_mode_device)
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{
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CHECK_HIP_ERROR(d_alpha.transfer_from(halpha));
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CHECK_HIP_ERROR(d_beta.transfer_from(hbeta));
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CHECK_HIP_ERROR(dy.transfer_from(hy_gold));
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CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
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handle.pre_test(arg);
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DAPI_CHECK(rocblas_gemv_batched_fn,
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(handle,
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transA,
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M,
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N,
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d_alpha,
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dA.ptr_on_device(),
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lda,
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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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handle.post_test(arg);
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if(arg.repeatability_check)
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{
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//Transfer original results from device to host
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CHECK_HIP_ERROR(hy.transfer_from(dy));
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//Host buffer to store results subsequent iterations
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HOST_MEMCHECK(host_batch_vector<To>, hy_copy, (dim_y, incy, batch_count));
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// multi-GPU support
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int device_id, device_count;
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CHECK_HIP_ERROR(limit_device_count(device_count, (int)arg.devices));
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for(int dev_id = 0; dev_id < device_count; dev_id++)
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{
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CHECK_HIP_ERROR(hipGetDevice(&device_id));
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if(device_id != dev_id)
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CHECK_HIP_ERROR(hipSetDevice(dev_id));
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//New rocblas handle for new device
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rocblas_local_handle handle_copy{arg};
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// Allocate device memory
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DEVICE_MEMCHECK(device_batch_matrix<Ti>, dA_copy, (M, N, lda, batch_count));
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DEVICE_MEMCHECK(device_batch_vector<Ti>, dx_copy, (dim_x, incx, batch_count));
|
|
DEVICE_MEMCHECK(device_batch_vector<To>, dy_copy, (dim_y, incy, batch_count));
|
|
DEVICE_MEMCHECK(device_vector<Tex>, d_alpha_copy, (batch_count, alpha_stride));
|
|
DEVICE_MEMCHECK(device_vector<Tex>, d_beta_copy, (batch_count, beta_stride));
|
|
|
|
CHECK_HIP_ERROR(dA_copy.transfer_from(hA));
|
|
CHECK_HIP_ERROR(dx_copy.transfer_from(hx));
|
|
CHECK_HIP_ERROR(d_alpha_copy.transfer_from(halpha));
|
|
CHECK_HIP_ERROR(d_beta_copy.transfer_from(hbeta));
|
|
|
|
CHECK_ROCBLAS_ERROR(
|
|
rocblas_set_pointer_mode(handle_copy, rocblas_pointer_mode_device));
|
|
|
|
for(int runs = 0; runs < arg.iters; runs++)
|
|
{
|
|
CHECK_HIP_ERROR(dy_copy.transfer_from(hy_gold));
|
|
DAPI_CHECK(rocblas_gemv_batched_fn,
|
|
(handle_copy,
|
|
transA,
|
|
M,
|
|
N,
|
|
d_alpha_copy,
|
|
dA_copy.ptr_on_device(),
|
|
lda,
|
|
dx_copy.ptr_on_device(),
|
|
incx,
|
|
d_beta_copy,
|
|
dy_copy.ptr_on_device(),
|
|
incy,
|
|
batch_count));
|
|
|
|
CHECK_HIP_ERROR(hy_copy.transfer_from(dy_copy));
|
|
unit_check_general<To>(1, dim_y, incy, hy, hy_copy, batch_count);
|
|
}
|
|
}
|
|
return;
|
|
}
|
|
}
|
|
|
|
// CPU BLAS
|
|
cpu_time_used = get_time_us_no_sync();
|
|
for(int64_t b = 0; b < batch_count; ++b)
|
|
{
|
|
ref_gemv<Ti, To>(transA,
|
|
M,
|
|
N,
|
|
halpha[b * alpha_stride],
|
|
hA[b],
|
|
lda,
|
|
hx[b],
|
|
incx,
|
|
hbeta[b * beta_stride],
|
|
hy_gold[b],
|
|
incy);
|
|
}
|
|
cpu_time_used = get_time_us_no_sync() - cpu_time_used;
|
|
|
|
auto compare_hy_to_gold = [&] {
|
|
if(arg.unit_check)
|
|
{
|
|
bool use_near = reduction_requires_near<To>(arg, dim_x);
|
|
if(use_near)
|
|
{
|
|
const double tol = dim_x * sum_error_tolerance<To>;
|
|
near_check_general<To>(1, dim_y, incy, hy_gold, hy, batch_count, tol);
|
|
}
|
|
else
|
|
{
|
|
unit_check_general<To>(1, dim_y, incy, hy_gold, hy, batch_count);
|
|
}
|
|
}
|
|
double error = 0;
|
|
if(arg.norm_check)
|
|
error = norm_check_general<To>('F', 1, dim_y, incy, hy_gold, hy, batch_count);
|
|
return error;
|
|
};
|
|
|
|
if(arg.pointer_mode_host)
|
|
{
|
|
error_host = compare_hy_to_gold();
|
|
}
|
|
|
|
if(arg.pointer_mode_device)
|
|
{
|
|
CHECK_HIP_ERROR(hy.transfer_from(dy));
|
|
error_device = compare_hy_to_gold();
|
|
}
|
|
}
|
|
|
|
if(arg.timing)
|
|
{
|
|
double gpu_time_used;
|
|
int number_cold_calls = arg.cold_iters;
|
|
int total_calls = number_cold_calls + arg.iters;
|
|
|
|
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
|
|
|
|
Tex* alpha = &h_alpha;
|
|
Tex* beta = &h_beta;
|
|
if(arg.alpha_beta_stride)
|
|
{
|
|
CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
|
|
CHECK_HIP_ERROR(d_alpha.transfer_from(halpha));
|
|
CHECK_HIP_ERROR(d_beta.transfer_from(hbeta));
|
|
alpha = d_alpha;
|
|
beta = d_beta;
|
|
handle.pre_test(arg);
|
|
}
|
|
|
|
hipStream_t stream;
|
|
CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream));
|
|
|
|
for(int iter = 0; iter < total_calls; iter++)
|
|
{
|
|
if(iter == number_cold_calls)
|
|
gpu_time_used = get_time_us_sync(stream);
|
|
|
|
DAPI_DISPATCH(rocblas_gemv_batched_fn,
|
|
(handle,
|
|
transA,
|
|
M,
|
|
N,
|
|
alpha,
|
|
dA.ptr_on_device(),
|
|
lda,
|
|
dx.ptr_on_device(),
|
|
incx,
|
|
beta,
|
|
dy.ptr_on_device(),
|
|
incy,
|
|
batch_count));
|
|
}
|
|
|
|
gpu_time_used = get_time_us_sync(stream) - gpu_time_used;
|
|
|
|
if(arg.alpha_beta_stride)
|
|
{
|
|
handle.post_test(arg);
|
|
}
|
|
|
|
ArgumentModel<e_transA, e_M, e_N, e_alpha, e_lda, e_incx, e_beta, e_incy, e_batch_count>{}
|
|
.log_args<Tex>(rocblas_cout,
|
|
arg,
|
|
gpu_time_used,
|
|
gemv_gflop_count<Tex>(transA, M, N),
|
|
gemv_gbyte_count<Tex>(transA, M, N),
|
|
cpu_time_used,
|
|
error_host,
|
|
error_device);
|
|
}
|
|
}
|