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sample_cublasLt_LtPlanarComplex.cu
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/*
* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <cublasLt.h>
#include <cuda_runtime.h>
#include "sample_cublasLt_LtPlanarComplex.h"
#include "helpers.h"
/// Use cublasLtMatmul to perform tensor-op Cgemm using planar complex memory layout and half-precision inputs.
///
/// For better performance data order transforms should be offline as much as possible.
///
/// transa, transb assumed N; alpha, beta are host pointers, tensor ops allowed, alpha assumed 1, beta assumed 0,
/// stream assumed 0
/// outputs can be either single or half precision, half precision is used in this example
void LtPlanarCgemm(cublasLtHandle_t ltHandle,
int m,
int n,
int k,
const __half *A_real,
const __half *A_imag,
int lda,
const __half *B_real,
const __half *B_imag,
int ldb,
__half *C_real,
__half *C_imag,
int ldc) {
cublasLtMatmulDesc_t matmulDesc = NULL;
cublasLtMatrixLayout_t Adesc = NULL, Bdesc = NULL, Cdesc = NULL;
cuComplex alpha = {1, 0}, beta = {0, 0};
// cublasLt expects offests in bytes
int64_t AplaneOffset = (A_imag - A_real) * sizeof(A_real[0]);
int64_t BplaneOffset = (B_imag - B_real) * sizeof(B_real[0]);
int64_t CplaneOffset = (C_imag - C_real) * sizeof(C_real[0]);
checkCublasStatus(cublasLtMatmulDescCreate(&matmulDesc, CUBLAS_COMPUTE_32F, CUDA_C_32F));
// ---------------------------------------------------------------------------------------------
// create descriptors for planar complex matrices
checkCublasStatus(cublasLtMatrixLayoutCreate(&Adesc, CUDA_C_16F, m, k, lda));
checkCublasStatus(cublasLtMatrixLayoutSetAttribute(Adesc, CUBLASLT_MATRIX_LAYOUT_PLANE_OFFSET, &AplaneOffset, sizeof(AplaneOffset)));
checkCublasStatus(cublasLtMatrixLayoutCreate(&Bdesc, CUDA_C_16F, k, n, ldb));
checkCublasStatus(cublasLtMatrixLayoutSetAttribute(Bdesc, CUBLASLT_MATRIX_LAYOUT_PLANE_OFFSET, &BplaneOffset, sizeof(BplaneOffset)));
checkCublasStatus(cublasLtMatrixLayoutCreate(&Cdesc, CUDA_C_16F, m, n, ldc));
checkCublasStatus(cublasLtMatrixLayoutSetAttribute(Cdesc, CUBLASLT_MATRIX_LAYOUT_PLANE_OFFSET, &CplaneOffset, sizeof(CplaneOffset)));
// ---------------------------------------------------------------------------------------------
// Launch computation
checkCublasStatus(cublasLtMatmul(ltHandle,
matmulDesc,
&alpha,
A_real,
Adesc,
B_real,
Bdesc,
&beta,
C_real,
Cdesc,
C_real,
Cdesc,
NULL,
NULL,
0,
0));
// descriptors are no longer needed as all GPU work was already enqueued
if (Cdesc) checkCublasStatus(cublasLtMatrixLayoutDestroy(Cdesc));
if (Bdesc) checkCublasStatus(cublasLtMatrixLayoutDestroy(Bdesc));
if (Adesc) checkCublasStatus(cublasLtMatrixLayoutDestroy(Adesc));
if (matmulDesc) checkCublasStatus(cublasLtMatmulDescDestroy(matmulDesc));
}