+++ /dev/null
-/*
- * Copyright 1993-2014 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 <cuda_runtime.h>
-#include <cublas_v2.h>
-#include <helper_cuda.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_t 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;
- cublasHandle_t handle;
-
- int dev = findCudaDevice(argc, (const char **) argv);
-
- if (dev == -1)
- {
- return EXIT_FAILURE;
- }
-
- /* Initialize CUBLAS */
- printf("simpleCUBLAS test running..\n");
-
- status = cublasCreate(&handle);
-
- 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 */
- if (cudaMalloc((void **)&d_A, n2 * sizeof(d_A[0])) != cudaSuccess)
- {
- fprintf(stderr, "!!!! device memory allocation error (allocate A)\n");
- return EXIT_FAILURE;
- }
-
- if (cudaMalloc((void **)&d_B, n2 * sizeof(d_B[0])) != cudaSuccess)
- {
- fprintf(stderr, "!!!! device memory allocation error (allocate B)\n");
- return EXIT_FAILURE;
- }
-
- if (cudaMalloc((void **)&d_C, n2 * sizeof(d_C[0])) != cudaSuccess)
- {
- fprintf(stderr, "!!!! device memory allocation error (allocate 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;
-
- /* Performs operation using cublas */
- status = cublasSgemm(handle, CUBLAS_OP_N, CUBLAS_OP_N, N, N, N, &alpha, d_A, N, d_B, N, &beta, d_C, N);
-
- 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;
- }
-
- /* Memory clean up */
- free(h_A);
- free(h_B);
- free(h_C);
- free(h_C_ref);
-
- if (cudaFree(d_A) != cudaSuccess)
- {
- fprintf(stderr, "!!!! memory free error (A)\n");
- return EXIT_FAILURE;
- }
-
- if (cudaFree(d_B) != cudaSuccess)
- {
- fprintf(stderr, "!!!! memory free error (B)\n");
- return EXIT_FAILURE;
- }
-
- if (cudaFree(d_C) != cudaSuccess)
- {
- fprintf(stderr, "!!!! memory free error (C)\n");
- return EXIT_FAILURE;
- }
-
- /* Shutdown */
- status = cublasDestroy(handle);
-
- if (status != CUBLAS_STATUS_SUCCESS)
- {
- fprintf(stderr, "!!!! shutdown error (A)\n");
- return EXIT_FAILURE;
- }
-
- if (error_norm / ref_norm < 1e-6f)
- {
- printf("simpleCUBLAS test passed.\n");
- exit(EXIT_SUCCESS);
- }
- else
- {
- printf("simpleCUBLAS test failed.\n");
- exit(EXIT_FAILURE);
- }
-}
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