mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-24 19:49:19 +08:00
784 lines
25 KiB
Plaintext
784 lines
25 KiB
Plaintext
/* Copyright (c) 2021, 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.
|
|
*/
|
|
|
|
// Simple interop app demonstrating EGLImage + EGLSync interop with CUDA.
|
|
// Using EGLSync - CUDA Event interop one can achieve synchronization on GPU
|
|
// itself for GL-EGL-CUDA operations instead of blocking CPU for
|
|
// synchronization. This app requires GLES 3.2 or higher
|
|
|
|
//---------------------------INCLUDES---------------------------------//
|
|
#include <stdlib.h>
|
|
#include <stdio.h>
|
|
#include <string.h>
|
|
#include <time.h>
|
|
#include "graphics_interface.h"
|
|
#include <cuda.h>
|
|
#include <helper_cuda_drvapi.h>
|
|
#include <cudaEGL.h>
|
|
#include <EGL/egl.h>
|
|
#include <EGL/eglext.h>
|
|
#include <GLES3/gl32.h>
|
|
#include "egl_common.h"
|
|
|
|
//---------------------------DEFINES---------------------------------//
|
|
#define MAX_ITR 100
|
|
|
|
#define FAILURE 0
|
|
#define SUCCESS 1
|
|
#define WAIVED 2
|
|
|
|
#define BLOCK_SIZE 16
|
|
|
|
#define GL_READ 0
|
|
#define GL_WRITE 1
|
|
//---------------------------MACROS---------------------------------//
|
|
|
|
// Error-checking wrapper around GL calls
|
|
#define GL_SAFE_CALL(call) \
|
|
{ \
|
|
GLenum err; \
|
|
call; \
|
|
err = glGetError(); \
|
|
if (err != GL_NO_ERROR) { \
|
|
fprintf(stderr, "%s:%d GL error: %d\n", __FILE__, __LINE__, err); \
|
|
cleanup(FAILURE); \
|
|
} \
|
|
}
|
|
|
|
#define GL_SAFE_CALL_NO_CLEANUP(call, err) \
|
|
{ \
|
|
GLenum status; \
|
|
call; \
|
|
status = glGetError(); \
|
|
if (status != GL_NO_ERROR) { \
|
|
fprintf(stderr, "%s:%d GL error: %d\n", __FILE__, __LINE__, status); \
|
|
err = status; \
|
|
} \
|
|
}
|
|
|
|
// Error-checking wrapper around CUDA calls (taken from cutil.h)
|
|
#define CUDA_SAFE_CALL(call) \
|
|
do { \
|
|
cudaError err = call; \
|
|
if (cudaSuccess != err) { \
|
|
fprintf(stderr, "Cuda error in file '%s' in line %i : %s.\n", __FILE__, \
|
|
__LINE__, cudaGetErrorString(err)); \
|
|
cleanup(FAILURE); \
|
|
} \
|
|
} while (0)
|
|
|
|
#define CUDA_SAFE_CALL_NO_CLEANUP(call, err) \
|
|
do { \
|
|
cudaError status = call; \
|
|
if (cudaSuccess != status) { \
|
|
fprintf(stderr, "Cuda error in file '%s' in line %i : %s.\n", __FILE__, \
|
|
__LINE__, cudaGetErrorString(status)); \
|
|
err = status; \
|
|
} \
|
|
} while (0)
|
|
|
|
#if defined(EXTENSION_LIST)
|
|
EXTENSION_LIST(EXTLST_DECL)
|
|
typedef void (*extlst_fnptr_t)(void);
|
|
static struct {
|
|
extlst_fnptr_t *fnptr;
|
|
char const *name;
|
|
} extensionList[] = {EXTENSION_LIST(EXTLST_ENTRY)};
|
|
|
|
int eglSetupExtensions(void) {
|
|
unsigned int i;
|
|
|
|
for (i = 0; i < (sizeof(extensionList) / sizeof(*extensionList)); i++) {
|
|
*extensionList[i].fnptr = eglGetProcAddress(extensionList[i].name);
|
|
if (*extensionList[i].fnptr == NULL) {
|
|
printf("Couldn't get address of %s()\n", extensionList[i].name);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
#endif
|
|
|
|
#if defined(EXTENSION_LIST)
|
|
EXTENSION_LIST(EXTLST_EXTERN)
|
|
#endif
|
|
|
|
//------------------------GLOBAL VARIABLES--------------------------//
|
|
|
|
// GL texture
|
|
GLuint tex[2] = {0};
|
|
|
|
// Used to catch unexpected termination from GLUT
|
|
int cleanExit = 0;
|
|
|
|
// Use CPU Sync or GPU sync; Default GPU
|
|
int useGpu = 1;
|
|
|
|
// CUDA Resource
|
|
CUgraphicsResource writeResource = NULL;
|
|
CUgraphicsResource readResource = NULL;
|
|
CUarray writeArray, readArray;
|
|
CUdevice device;
|
|
CUcontext context;
|
|
|
|
// Which device to run on
|
|
unsigned int dev = 0;
|
|
|
|
// Default width, height, and iterations value
|
|
int width = 2048;
|
|
int height = 2048;
|
|
int itr = MAX_ITR;
|
|
|
|
// Error check variable
|
|
__device__ static unsigned int numErrors = 0;
|
|
|
|
//-----------------------FUNCTION PROTOTYPES------------------------//
|
|
|
|
void checkSync(int argc, char **argv);
|
|
int parseCmdLine(int argc, char **argv);
|
|
void printUsage(void);
|
|
void cleanup(int status);
|
|
void exitHandler(void);
|
|
void printStatus(int status);
|
|
void checkSyncOnCPU(void);
|
|
void checkSyncOnGPU(EGLDisplay dpy);
|
|
|
|
__global__ void verify_and_update_kernel(CUsurfObject write, CUsurfObject read,
|
|
char expected, char newval, int width,
|
|
int height);
|
|
extern "C" cudaError_t cudaGetValueMismatch();
|
|
|
|
//-----------------------FUNCTION DEFINITIONS------------------------//
|
|
|
|
int main(int argc, char *argv[]) {
|
|
#if defined(__linux__)
|
|
setenv("DISPLAY", ":0", 0);
|
|
#endif
|
|
|
|
parseCmdLine(argc, argv);
|
|
atexit(exitHandler);
|
|
|
|
checkSync(argc, argv);
|
|
return 0;
|
|
}
|
|
|
|
int parseCmdLine(int argc, char **argv) {
|
|
int i;
|
|
for (i = 1; i < argc; i++) {
|
|
if (strcmp(argv[i], "-cpu") == 0) {
|
|
useGpu = 0;
|
|
}
|
|
|
|
if (strcmp(argv[i], "-h") == 0) {
|
|
printUsage();
|
|
cleanup(SUCCESS);
|
|
}
|
|
|
|
if (strcmp(argv[i], "-width") == 0) {
|
|
++i;
|
|
if (i == argc) {
|
|
printf("width option must be followed by value\n");
|
|
return FAILURE;
|
|
}
|
|
if (sscanf(argv[i], "%d", &width) != 1) {
|
|
printf("Error: invalid width value\n");
|
|
return FAILURE;
|
|
}
|
|
}
|
|
|
|
if (strcmp(argv[i], "-height") == 0) {
|
|
++i;
|
|
if (i == argc) {
|
|
printf("height option must be followed by value\n");
|
|
return FAILURE;
|
|
}
|
|
if (sscanf(argv[i], "%d", &height) != 1) {
|
|
printf("Error: invalid height value\n");
|
|
return FAILURE;
|
|
}
|
|
}
|
|
if (strcmp(argv[i], "-itr") == 0) {
|
|
++i;
|
|
if (i == argc) {
|
|
printf("itr option must be followed by iteration value\n");
|
|
return FAILURE;
|
|
}
|
|
if (sscanf(argv[i], "%d", &itr) != 1) {
|
|
printf("Error: invalid iteration value\n");
|
|
return FAILURE;
|
|
}
|
|
}
|
|
}
|
|
|
|
return SUCCESS;
|
|
}
|
|
|
|
void printUsage(void) {
|
|
printf("Usage:\n");
|
|
printf("\t-h\tPrint command line options\n");
|
|
printf("\t-cpu\tSync on the CPU instead of the GPU\n");
|
|
printf("\t-width w\tSet the width to w\n");
|
|
printf("\t-height h\tSet the height to h\n");
|
|
printf("\t-itr i\tSet number of iterations to i\n");
|
|
}
|
|
|
|
void checkSync(int argc, char **argv) {
|
|
int x, y;
|
|
int bufferSize = width * height * 4;
|
|
unsigned char *pSurf_read = NULL, *pSurf_write = NULL;
|
|
int integrated;
|
|
|
|
CUresult status = CUDA_SUCCESS;
|
|
|
|
// Init values for variables
|
|
x = y = 0;
|
|
|
|
if (CUDA_SUCCESS != (status = cuInit(0))) {
|
|
printf("Failed to initialize CUDA\n");
|
|
}
|
|
device = findCudaDeviceDRV(argc, (const char **)argv);
|
|
|
|
if (CUDA_SUCCESS != (status = cuCtxCreate(&context, 0, device))) {
|
|
printf("failed to create CUDA context\n");
|
|
}
|
|
cuCtxPushCurrent(context);
|
|
|
|
status =
|
|
cuDeviceGetAttribute(&integrated, CU_DEVICE_ATTRIBUTE_INTEGRATED, device);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Failed to get device attribute CU_DEVICE_ATTRIBUTE_INTEGRATED\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
if (integrated != 1) {
|
|
printf(
|
|
"EGLSync_CUDAEvent_Interop does not support dGPU. Waiving sample.\n");
|
|
cleanup(WAIVED);
|
|
}
|
|
|
|
#if (defined(__arm__) || defined(__aarch64__)) && defined(__linux__)
|
|
graphics_setup_window(0, 0, width, height, "EGLSync_CUDA_Interop");
|
|
#endif
|
|
|
|
pSurf_read = (unsigned char *)malloc(bufferSize);
|
|
pSurf_write = (unsigned char *)malloc(bufferSize);
|
|
if (pSurf_read == NULL || pSurf_write == NULL) {
|
|
printf("malloc failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
for (x = 0; x < width; x++) {
|
|
for (y = 0; y < height; y++) {
|
|
pSurf_read[(y * width + x) * 4] = 1;
|
|
pSurf_read[(y * width + x) * 4 + 1] = 1;
|
|
pSurf_read[(y * width + x) * 4 + 2] = 1;
|
|
pSurf_read[(y * width + x) * 4 + 3] = 1;
|
|
pSurf_write[(y * width + x) * 4] = 0;
|
|
pSurf_write[(y * width + x) * 4 + 1] = 0;
|
|
pSurf_write[(y * width + x) * 4 + 2] = 0;
|
|
pSurf_write[(y * width + x) * 4 + 3] = 0;
|
|
}
|
|
}
|
|
|
|
// NOP call to error-check the above glut calls
|
|
GL_SAFE_CALL({});
|
|
|
|
// Init texture
|
|
GL_SAFE_CALL(glGenTextures(2, tex));
|
|
|
|
GL_SAFE_CALL(glBindTexture(GL_TEXTURE_2D, tex[GL_READ]));
|
|
GL_SAFE_CALL(
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST));
|
|
GL_SAFE_CALL(
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST));
|
|
GL_SAFE_CALL(glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA8, width, height, 0,
|
|
GL_RGBA, GL_UNSIGNED_BYTE, pSurf_read));
|
|
GL_SAFE_CALL(glBindTexture(GL_TEXTURE_2D, 0));
|
|
|
|
GL_SAFE_CALL(glBindTexture(GL_TEXTURE_2D, tex[GL_WRITE]));
|
|
GL_SAFE_CALL(
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST));
|
|
GL_SAFE_CALL(
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST));
|
|
GL_SAFE_CALL(glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA8, width, height, 0,
|
|
GL_RGBA, GL_UNSIGNED_BYTE, pSurf_write));
|
|
GL_SAFE_CALL(glBindTexture(GL_TEXTURE_2D, 0));
|
|
|
|
glFinish();
|
|
|
|
EGLDisplay eglDisplayHandle = eglGetCurrentDisplay();
|
|
if (eglDisplayHandle == EGL_NO_DISPLAY) {
|
|
printf("eglDisplayHandle failed \n");
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("eglDisplay Handle created \n");
|
|
}
|
|
|
|
if (!eglSetupExtensions()) {
|
|
printf("SetupExtentions failed \n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
EGLContext eglCtx = eglGetCurrentContext();
|
|
if (eglCtx == EGL_NO_CONTEXT) {
|
|
printf("Context1 create failed with error %d\n", eglGetError());
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
// Create the EGL_Image
|
|
EGLint eglImgAttrs[] = {EGL_IMAGE_PRESERVED_KHR, EGL_TRUE, EGL_NONE,
|
|
EGL_NONE};
|
|
|
|
EGLImageKHR eglImage1 =
|
|
eglCreateImageKHR(eglDisplayHandle, eglCtx, EGL_GL_TEXTURE_2D_KHR,
|
|
(EGLClientBuffer)(intptr_t)tex[GL_READ], eglImgAttrs);
|
|
if (eglImage1 == EGL_NO_IMAGE_KHR) {
|
|
printf("EGLImage create failed for read texture with error %d\n",
|
|
eglGetError());
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("EGLImage1 created \n");
|
|
}
|
|
|
|
EGLImageKHR eglImage2 =
|
|
eglCreateImageKHR(eglDisplayHandle, eglCtx, EGL_GL_TEXTURE_2D_KHR,
|
|
(EGLClientBuffer)(intptr_t)tex[GL_WRITE], eglImgAttrs);
|
|
if (eglImage2 == EGL_NO_IMAGE_KHR) {
|
|
printf("EGLImage create failed for write texture with error %d\n",
|
|
eglGetError());
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("EGLImage2 created \n");
|
|
}
|
|
|
|
glFinish();
|
|
|
|
status = cuGraphicsEGLRegisterImage(&writeResource, eglImage1,
|
|
CU_GRAPHICS_REGISTER_FLAGS_NONE);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("cuGraphicsEGLRegisterImage failed with Texture 1\n");
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf(
|
|
"cuGraphicsEGLRegisterImage Passed, writeResource created with texture "
|
|
"1\n");
|
|
}
|
|
|
|
status =
|
|
cuGraphicsSubResourceGetMappedArray(&writeArray, writeResource, 0, 0);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf(
|
|
"cuGraphicsSubResourceGetMappedArray failed for writeResource with "
|
|
"texture 1\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
status = cuGraphicsEGLRegisterImage(&readResource, eglImage2,
|
|
CU_GRAPHICS_REGISTER_FLAGS_NONE);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf(
|
|
"cuGraphicsEGLRegisterImage failed for readResource with Texture 2\n");
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf(
|
|
"cuGraphicsEGLRegisterImage Passed, readResource created with texture "
|
|
"2\n");
|
|
}
|
|
|
|
status = cuGraphicsSubResourceGetMappedArray(&readArray, readResource, 0, 0);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("cuGraphicsSubResourceGetMappedArray failed for texture 2\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
if (useGpu) {
|
|
printf("Using GPU Sync path\n");
|
|
checkSyncOnGPU(eglDisplayHandle);
|
|
} else {
|
|
printf("Using CPU Sync path\n");
|
|
checkSyncOnCPU();
|
|
}
|
|
|
|
free(pSurf_read);
|
|
free(pSurf_write);
|
|
cleanup(SUCCESS);
|
|
}
|
|
|
|
void checkSyncOnCPU(void) {
|
|
int z = 0;
|
|
unsigned char expectedData, newData;
|
|
CUresult status = CUDA_SUCCESS;
|
|
CUDA_RESOURCE_DESC wdsc, rdsc;
|
|
memset(&wdsc, 0, sizeof(wdsc));
|
|
memset(&rdsc, 0, sizeof(rdsc));
|
|
|
|
expectedData = 0;
|
|
newData = 1;
|
|
|
|
wdsc.resType = CU_RESOURCE_TYPE_ARRAY;
|
|
wdsc.res.array.hArray = writeArray;
|
|
CUsurfObject writeSurface;
|
|
rdsc.resType = CU_RESOURCE_TYPE_ARRAY;
|
|
rdsc.res.array.hArray = readArray;
|
|
CUsurfObject readSurface;
|
|
|
|
status = cuSurfObjectCreate(&writeSurface, &wdsc);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Surface bounding failed with status %d\n", status);
|
|
cleanup(FAILURE);
|
|
}
|
|
status = cuSurfObjectCreate(&readSurface, &rdsc);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Surface bounding failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
for (z = 0; z < itr; z++) {
|
|
// GL call to copy from read texture to write texture
|
|
GL_SAFE_CALL(glCopyImageSubData(tex[GL_READ], GL_TEXTURE_2D, 0, 0, 0, 0,
|
|
tex[GL_WRITE], GL_TEXTURE_2D, 0, 0, 0, 0,
|
|
width, height, 1));
|
|
|
|
glFinish();
|
|
|
|
newData++;
|
|
expectedData++;
|
|
|
|
verify_and_update_kernel<<<(width * height) / 256, 256>>>(
|
|
writeSurface, readSurface, expectedData, newData, width, height);
|
|
|
|
status = cuCtxSynchronize();
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("cuCtxSynchronize failed \n");
|
|
}
|
|
}
|
|
|
|
cudaError_t err = cudaGetValueMismatch();
|
|
if (err != cudaSuccess) {
|
|
printf("Value mismatch seen when using CPU sync\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
// Clean up CUDA writeResource
|
|
status = cuGraphicsUnregisterResource(writeResource);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Failed to unregister %d", status);
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("Unregistered writeResource. \n");
|
|
}
|
|
|
|
// Clean up CUDA readResource
|
|
status = cuGraphicsUnregisterResource(readResource);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Failed to unregister %d", status);
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("Unregistered readResource. \n");
|
|
}
|
|
}
|
|
|
|
/*
|
|
Performs same function as checkSyncOnCPU
|
|
Here instead of glFinish() and cuCtxSynchronize like in checkSyncOnCPU,
|
|
we make use of EGLSync, CUDA Event and cuStreamWaitEvent, eglWaitSyncKHR to
|
|
achieve the synchronization due to this CPU is not blocked for any
|
|
synchronization needed between GL-EGL & CUDA operations all synchronizations
|
|
happens on the GPU only.
|
|
*/
|
|
void checkSyncOnGPU(EGLDisplay dpy) {
|
|
int z = 0;
|
|
unsigned char expectedData, newData;
|
|
cudaError_t err;
|
|
CUresult status = CUDA_SUCCESS;
|
|
CUstream stream;
|
|
CUevent timingDisabledEvent;
|
|
CUDA_RESOURCE_DESC wdsc, rdsc;
|
|
memset(&wdsc, 0, sizeof(wdsc));
|
|
memset(&rdsc, 0, sizeof(rdsc));
|
|
|
|
expectedData = 0;
|
|
newData = 1;
|
|
|
|
wdsc.resType = CU_RESOURCE_TYPE_ARRAY;
|
|
wdsc.res.array.hArray = writeArray;
|
|
CUsurfObject writeSurface;
|
|
rdsc.resType = CU_RESOURCE_TYPE_ARRAY;
|
|
rdsc.res.array.hArray = readArray;
|
|
CUsurfObject readSurface;
|
|
|
|
status = cuSurfObjectCreate(&writeSurface, &wdsc);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Surface bounding failed with status %d\n", status);
|
|
cleanup(FAILURE);
|
|
}
|
|
status = cuSurfObjectCreate(&readSurface, &rdsc);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Surface bounding failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
status = cuStreamCreate(&stream, CU_STREAM_DEFAULT);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Stream creation failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
// Creates timing disabled event which uses non-blocking synchronization
|
|
status = cuEventCreate(&timingDisabledEvent, CU_EVENT_DISABLE_TIMING);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Default event creation failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
/*
|
|
1. We perform texture-to-texture copy in GLES which is async function
|
|
2. Followed by creating EGLSync and a CUDA Event from that EGLSync object
|
|
3. Using cuStreamWaitEvent() we wait in GPU for the GLES to finish texture
|
|
copy.
|
|
4. CUDA kernel verfiy_and_update_kernel verifies if the copied data by
|
|
GLES is correct, and it updates the buffer with new values.
|
|
5. This is followed by eglWaitSyncKHR() which waits for the cuda kernel to
|
|
finish, so that in the next iteration GLES can perform the copying of the
|
|
updated buffer to write texture,
|
|
*/
|
|
for (z = 0; z < itr; z++) {
|
|
// GL call to copy from read texture to write texture
|
|
GL_SAFE_CALL(glCopyImageSubData(tex[GL_READ], GL_TEXTURE_2D, 0, 0, 0, 0,
|
|
tex[GL_WRITE], GL_TEXTURE_2D, 0, 0, 0, 0,
|
|
width, height, 1));
|
|
|
|
EGLSyncKHR eglSyncForGL, eglSyncForCuda;
|
|
EGLBoolean egl_status = EGL_TRUE;
|
|
EGLAttribKHR eglattrib[] = {EGL_CUDA_EVENT_HANDLE_NV,
|
|
(EGLAttrib)timingDisabledEvent, EGL_NONE};
|
|
|
|
CUevent cudaEGLSyncEvent;
|
|
|
|
eglSyncForGL = eglCreateSyncKHR(dpy, EGL_SYNC_FENCE_KHR, NULL);
|
|
|
|
if (eglSyncForGL == EGL_NO_SYNC_KHR) {
|
|
printf(" EGL Sync creation failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
status = cuEventCreateFromEGLSync(&cudaEGLSyncEvent, eglSyncForGL,
|
|
CU_EVENT_DEFAULT);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("CUDA event creation from EGLSync failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
// We wait from CUDA in GPU for GL-EGL operation completion
|
|
status = cuStreamWaitEvent(stream, cudaEGLSyncEvent, 0);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Stream wait for event created from EGLSync failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
egl_status = eglDestroySyncKHR(dpy, eglSyncForGL);
|
|
if (egl_status != EGL_TRUE) {
|
|
printf("EGL sync object destruction failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
newData++;
|
|
expectedData++;
|
|
|
|
// Verifies the values in readSurface which is copied by
|
|
// glCopyImageSubData() And writes value of newData into writeSurface
|
|
verify_and_update_kernel<<<(width * height) / 256, 256, 0, stream>>>(
|
|
writeSurface, readSurface, expectedData, newData, width, height);
|
|
|
|
status = cuEventDestroy(cudaEGLSyncEvent);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Event Destroy failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
status = cuEventRecord(timingDisabledEvent, stream);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Event Record failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
// creating an EGL sync object linked to a CUDA event object
|
|
eglSyncForCuda = eglCreateSync64KHR(dpy, EGL_SYNC_CUDA_EVENT_NV, eglattrib);
|
|
|
|
// We wait from EGL for CUDA operation completion
|
|
egl_status = eglWaitSyncKHR(dpy, eglSyncForCuda, 0);
|
|
if (egl_status != EGL_TRUE) {
|
|
printf("eglWaitSyncKHR failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
egl_status = eglDestroySyncKHR(dpy, eglSyncForCuda);
|
|
if (egl_status != EGL_TRUE) {
|
|
printf("EGL sync object destruction failed\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
}
|
|
|
|
err = cudaGetValueMismatch();
|
|
if (err != cudaSuccess) {
|
|
printf("Value mismatch seen when using GPU sync\n");
|
|
cleanup(FAILURE);
|
|
}
|
|
|
|
// Clean up CUDA writeResource
|
|
status = cuGraphicsUnregisterResource(writeResource);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Failed to unregister %d", status);
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("Unregistered writeResource. \n");
|
|
}
|
|
|
|
// Clean up CUDA readResource
|
|
status = cuGraphicsUnregisterResource(readResource);
|
|
if (status != CUDA_SUCCESS) {
|
|
printf("Failed to unregister %d", status);
|
|
cleanup(FAILURE);
|
|
} else {
|
|
printf("Unregistered readResource. \n");
|
|
}
|
|
}
|
|
|
|
// Verifies the values in readSurface whether they are expected ones
|
|
// And writes value of newData into writeSurface
|
|
__global__ void verify_and_update_kernel(CUsurfObject write, CUsurfObject read,
|
|
char expected, char newval, int width,
|
|
int height) {
|
|
unsigned int x = blockDim.x * blockIdx.x + threadIdx.x;
|
|
unsigned int y = blockDim.y * blockIdx.y + threadIdx.y;
|
|
|
|
if (x < width && y < height) {
|
|
uchar4 check;
|
|
surf2Dread(&check, read, x * 4, y);
|
|
if (check.x != expected || check.y != expected || check.z != expected ||
|
|
check.w != expected) {
|
|
printf(
|
|
"Mismatch found in values read[0]= %u read[1]= %u read[2]= %u "
|
|
"read[3]= %u expected is %u\n",
|
|
check.x, check.y, check.z, check.w, expected);
|
|
numErrors++;
|
|
return;
|
|
}
|
|
uchar4 data = make_uchar4(newval, newval, newval, newval);
|
|
surf2Dwrite(data, write, x * 4, y);
|
|
}
|
|
}
|
|
|
|
__global__ void getNumErrors(int *numErr) { *numErr = numErrors; }
|
|
|
|
extern "C" cudaError_t cudaGetValueMismatch() {
|
|
int numErr_h;
|
|
int *numErr_d = NULL;
|
|
cudaError_t err = cudaSuccess;
|
|
|
|
err = cudaMalloc(&numErr_d, sizeof(int));
|
|
if (err != cudaSuccess) {
|
|
printf("Cuda Main: cudaMemcpy failed with %s\n", cudaGetErrorString(err));
|
|
cudaFree(numErr_d);
|
|
return err;
|
|
}
|
|
|
|
getNumErrors<<<1, 1>>>(numErr_d);
|
|
err = cudaDeviceSynchronize();
|
|
if (err != cudaSuccess) {
|
|
printf("Cuda Main: cudaDeviceSynchronize failed with %s\n",
|
|
cudaGetErrorString(err));
|
|
}
|
|
err = cudaMemcpy(&numErr_h, numErr_d, sizeof(int), cudaMemcpyDeviceToHost);
|
|
if (err != cudaSuccess) {
|
|
printf("Cuda Main: cudaMemcpy failed with %s\n", cudaGetErrorString(err));
|
|
cudaFree(numErr_d);
|
|
return err;
|
|
}
|
|
err = cudaFree(numErr_d);
|
|
if (err != cudaSuccess) {
|
|
printf("Cuda Main: cudaFree failed with %s\n", cudaGetErrorString(err));
|
|
return err;
|
|
}
|
|
if (numErr_h > 0) {
|
|
return cudaErrorUnknown;
|
|
}
|
|
return cudaSuccess;
|
|
}
|
|
|
|
// Clean up state and exit. If status is SUCCESS, regression success is printed
|
|
// to stdout. This will happen if the glut timer is triggered. If status is
|
|
// anything else, the regression failure message is printed.
|
|
void cleanup(int status) {
|
|
GLenum glErr = GL_NO_ERROR;
|
|
cudaError cudaErr = cudaSuccess;
|
|
int exitStatus = status;
|
|
|
|
// Clean up GL
|
|
if (*tex) {
|
|
GL_SAFE_CALL_NO_CLEANUP(glDeleteTextures(2, tex), glErr);
|
|
}
|
|
|
|
// Print test status and exit
|
|
if (glErr != GL_NO_ERROR || cudaErr != cudaSuccess) exitStatus = FAILURE;
|
|
|
|
printStatus(exitStatus);
|
|
|
|
cleanExit = 1;
|
|
|
|
graphics_close_window();
|
|
|
|
if (exitStatus == FAILURE) exit(EXIT_FAILURE);
|
|
|
|
if (exitStatus == WAIVED) exit(EXIT_WAIVED);
|
|
|
|
exit(0);
|
|
}
|
|
|
|
void exitHandler(void) {
|
|
if (!cleanExit) {
|
|
printf("&&&& EGLSync_CUDAEvent_Interop unexpected failure \n");
|
|
printStatus(FAILURE);
|
|
}
|
|
}
|
|
|
|
// Print test success or fail for regression testing
|
|
void printStatus(int status) {
|
|
switch (status) {
|
|
case SUCCESS:
|
|
printf("&&&& EGLSync_CUDAEvent_Interop PASSED\n");
|
|
break;
|
|
case WAIVED:
|
|
printf("&&&& EGLSync_CUDAEvent_Interop WAIVED\n");
|
|
break;
|
|
default:
|
|
printf("&&&& EGLSync_CUDAEvent_Interop FAILED\n");
|
|
break;
|
|
}
|
|
fflush(stdout);
|
|
}
|