?? simplecublas.c
字號(hào):
/*
* Copyright 1993-2007 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO USER:
*
* This source code is subject to NVIDIA ownership rights under U.S. and
* international Copyright laws. Users and possessors of this source code
* are hereby granted a nonexclusive, royalty-free license to use this code
* in individual and commercial software.
*
* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE
* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR
* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH
* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL,
* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE
* OR PERFORMANCE OF THIS SOURCE CODE.
*
* U.S. Government End Users. This source code is a "commercial item" as
* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of
* "commercial computer software" and "commercial computer software
* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995)
* and is provided to the U.S. Government only as a commercial end item.
* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through
* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the
* source code with only those rights set forth herein.
*
* Any use of this source code in individual and commercial software must
* include, in the user documentation and internal comments to the code,
* the above Disclaimer and U.S. Government End Users Notice.
*/
/* This example demonstrates how to use the CUBLAS library
* by scaling an array of floating-point values on the device
* and comparing the result to the same operation performed
* on the host.
*/
/* Includes, system */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
/* Includes, cuda */
#include "cublas.h"
/* Matrix size */
#define N (275)
/* Host implementation of a simple version of sgemm */
static void simple_sgemm(int n, float alpha, const float *A, const float *B,
float beta, float *C)
{
int i;
int j;
int k;
for (i = 0; i < n; ++i) {
for (j = 0; j < n; ++j) {
float prod = 0;
for (k = 0; k < n; ++k) {
prod += A[k * n + i] * B[j * n + k];
}
C[j * n + i] = alpha * prod + beta * C[j * n + i];
}
}
}
/* Main */
int main(int argc, char** argv)
{
cublasStatus status;
float* h_A;
float* h_B;
float* h_C;
float* h_C_ref;
float* d_A = 0;
float* d_B = 0;
float* d_C = 0;
float alpha = 1.0f;
float beta = 0.0f;
int n2 = N * N;
int i;
float error_norm;
float ref_norm;
float diff;
/* Initialize CUBLAS */
status = cublasInit();
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! CUBLAS initialization error\n");
return EXIT_FAILURE;
}
/* Allocate host memory for the matrices */
h_A = (float*)malloc(n2 * sizeof(h_A[0]));
if (h_A == 0) {
fprintf (stderr, "!!!! host memory allocation error (A)\n");
return EXIT_FAILURE;
}
h_B = (float*)malloc(n2 * sizeof(h_B[0]));
if (h_B == 0) {
fprintf (stderr, "!!!! host memory allocation error (B)\n");
return EXIT_FAILURE;
}
h_C = (float*)malloc(n2 * sizeof(h_C[0]));
if (h_C == 0) {
fprintf (stderr, "!!!! host memory allocation error (C)\n");
return EXIT_FAILURE;
}
/* Fill the matrices with test data */
for (i = 0; i < n2; i++) {
h_A[i] = rand() / (float)RAND_MAX;
h_B[i] = rand() / (float)RAND_MAX;
h_C[i] = rand() / (float)RAND_MAX;
}
/* Allocate device memory for the matrices */
status = cublasAlloc(n2, sizeof(d_A[0]), (void**)&d_A);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device memory allocation error (A)\n");
return EXIT_FAILURE;
}
status = cublasAlloc(n2, sizeof(d_B[0]), (void**)&d_B);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device memory allocation error (B)\n");
return EXIT_FAILURE;
}
status = cublasAlloc(n2, sizeof(d_C[0]), (void**)&d_C);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device memory allocation error (C)\n");
return EXIT_FAILURE;
}
/* Initialize the device matrices with the host matrices */
status = cublasSetVector(n2, sizeof(h_A[0]), h_A, 1, d_A, 1);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device access error (write A)\n");
return EXIT_FAILURE;
}
status = cublasSetVector(n2, sizeof(h_B[0]), h_B, 1, d_B, 1);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device access error (write B)\n");
return EXIT_FAILURE;
}
status = cublasSetVector(n2, sizeof(h_C[0]), h_C, 1, d_C, 1);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device access error (write C)\n");
return EXIT_FAILURE;
}
/* Performs operation using plain C code */
simple_sgemm(N, alpha, h_A, h_B, beta, h_C);
h_C_ref = h_C;
/* Clear last error */
cublasGetError();
/* Performs operation using cublas */
cublasSgemm('n', 'n', N, N, N, alpha, d_A, N, d_B, N, beta, d_C, N);
status = cublasGetError();
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! kernel execution error.\n");
return EXIT_FAILURE;
}
/* Allocate host memory for reading back the result from device memory */
h_C = (float*)malloc(n2 * sizeof(h_C[0]));
if (h_C == 0) {
fprintf (stderr, "!!!! host memory allocation error (C)\n");
return EXIT_FAILURE;
}
/* Read the result back */
status = cublasGetVector(n2, sizeof(h_C[0]), d_C, 1, h_C, 1);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! device access error (read C)\n");
return EXIT_FAILURE;
}
/* Check result against reference */
error_norm = 0;
ref_norm = 0;
for (i = 0; i < n2; ++i) {
diff = h_C_ref[i] - h_C[i];
error_norm += diff * diff;
ref_norm += h_C_ref[i] * h_C_ref[i];
}
error_norm = (float)sqrt((double)error_norm);
ref_norm = (float)sqrt((double)ref_norm);
if (fabs(ref_norm) < 1e-7) {
fprintf (stderr, "!!!! reference norm is 0\n");
return EXIT_FAILURE;
}
printf( "Test %s\n", (error_norm / ref_norm < 1e-6f) ? "PASSED" : "FAILED");
/* Memory clean up */
free(h_A);
free(h_B);
free(h_C);
free(h_C_ref);
status = cublasFree(d_A);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! memory free error (A)\n");
return EXIT_FAILURE;
}
status = cublasFree(d_B);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! memory free error (B)\n");
return EXIT_FAILURE;
}
status = cublasFree(d_C);
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! memory free error (C)\n");
return EXIT_FAILURE;
}
/* Shutdown */
status = cublasShutdown();
if (status != CUBLAS_STATUS_SUCCESS) {
fprintf (stderr, "!!!! shutdown error (A)\n");
return EXIT_FAILURE;
}
if (argc <= 1 || strcmp(argv[1], "-noprompt")) {
printf("\nPress ENTER to exit...\n");
getchar();
}
return EXIT_SUCCESS;
}
?? 快捷鍵說(shuō)明
復(fù)制代碼
Ctrl + C
搜索代碼
Ctrl + F
全屏模式
F11
切換主題
Ctrl + Shift + D
顯示快捷鍵
?
增大字號(hào)
Ctrl + =
減小字號(hào)
Ctrl + -