CUDA 13.2 samples update (#432)

- Added Python samples for CUDA Python 1.0 release
- Renamed top-level `Samples` directory to `cpp` to accommodate Python samples.
This commit is contained in:
Dheemanth
2026-05-13 15:13:18 -07:00
committed by GitHub
parent a4526d5229
commit aeab82ff30
2072 changed files with 15077 additions and 1970 deletions

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{
"configurations": [
{
"name": "Linux",
"includePath": [
"${workspaceFolder}/**",
"${workspaceFolder}/../../../Common"
],
"defines": [],
"compilerPath": "/usr/local/cuda/bin/nvcc",
"cStandard": "gnu17",
"cppStandard": "gnu++14",
"intelliSenseMode": "linux-gcc-x64",
"configurationProvider": "ms-vscode.makefile-tools"
}
],
"version": 4
}

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{
"recommendations": [
"nvidia.nsight-vscode-edition",
"ms-vscode.cpptools",
"ms-vscode.makefile-tools"
]
}

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cmake_minimum_required(VERSION 3.20)
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules")
project(bicubicTexture LANGUAGES C CXX CUDA)
find_package(CUDAToolkit REQUIRED)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
set(CMAKE_CUDA_ARCHITECTURES 75 80 86 87 89 90 100 110 120)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wno-deprecated-gpu-targets")
if(ENABLE_CUDA_DEBUG)
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G") # enable cuda-gdb (may significantly affect performance on some targets)
else()
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -lineinfo") # add line information to all builds for debug tools (exclusive to -G option)
endif()
# Include directories and libraries
include_directories(../../../Common)
if(WIN32)
set(PC_GLUT_INCLUDE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}/../../../Common")
set(PC_GLUT_LIBRARY_DIRS "${CMAKE_CURRENT_SOURCE_DIR}/../../../Common/lib/x64")
# The GLEW library built on Windows on Arm system is named as glew32.lib/glew32.dll by default.
if(EXISTS "${PC_GLUT_LIBRARY_DIRS}/glew32.lib")
set(GLEW_LIB_NAME "glew32")
else()
set(GLEW_LIB_NAME "glew64")
endif()
endif()
find_package(OpenGL)
find_package(GLUT)
# Source file
if(${OpenGL_FOUND})
if (${GLUT_FOUND})
# Add target for bicubicTexture
add_executable(bicubicTexture bicubicTexture.cpp bicubicTexture_cuda.cu)
target_compile_options(bicubicTexture PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
target_compile_features(bicubicTexture PRIVATE cxx_std_17 cuda_std_17)
set_target_properties(bicubicTexture PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
target_include_directories(bicubicTexture PUBLIC
${OPENGL_INCLUDE_DIR}
${CUDAToolkit_INCLUDE_DIRS}
${GLUT_INCLUDE_DIRS}
)
target_link_libraries(bicubicTexture
${OPENGL_LIBRARIES}
${GLUT_LIBRARIES}
)
# Copy data files to the output directory
add_custom_command(TARGET bicubicTexture POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_directory
${CMAKE_CURRENT_SOURCE_DIR}/data
${CMAKE_CURRENT_BINARY_DIR}/data
)
if(WIN32)
target_link_libraries(bicubicTexture
${PC_GLUT_LIBRARY_DIRS}/freeglut.lib
${PC_GLUT_LIBRARY_DIRS}/${GLEW_LIB_NAME}.lib
)
add_custom_command(TARGET bicubicTexture
POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy
${CMAKE_CURRENT_SOURCE_DIR}/../../../bin/win64/$<CONFIGURATION>/freeglut.dll
${CMAKE_CURRENT_BINARY_DIR}/$<CONFIGURATION>
)
add_custom_command(TARGET bicubicTexture
POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy
${CMAKE_CURRENT_SOURCE_DIR}/../../../bin/win64/$<CONFIGURATION>/${GLEW_LIB_NAME}.dll
${CMAKE_CURRENT_BINARY_DIR}/$<CONFIGURATION>
)
endif()
else()
message(STATUS "GLUT not found - will not build sample 'bicubicTexture'")
endif()
else()
message(STATUS "OpenGL not found - will not build sample 'bicubicTexture'")
endif()
# Include installation configuration
include(${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/InstallSamples.cmake)
setup_samples_install()

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# bicubicTexture - Bicubic B-spline Interoplation
## Description
This sample demonstrates how to efficiently implement a Bicubic B-spline interpolation filter with CUDA texture.
## Key Concepts
Graphics Interop, Image Processing
## Supported SM Architectures
[SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 5.3 ](https://developer.nvidia.com/cuda-gpus) [SM 6.0 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus) [SM 8.9 ](https://developer.nvidia.com/cuda-gpus) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
## Supported OSes
Linux, Windows
## Supported CPU Architecture
x86_64, armv7l
## CUDA APIs involved
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
cudaGraphicsUnmapResources, cudaCreateChannelDesc, cudaMallocArray, cudaFreeArray, cudaFree, cudaMemcpy, cudaGraphicsResourceGetMappedPointer, cudaGraphicsMapResources, cudaDestroyTextureObject, cudaDeviceSynchronize, cudaCreateTextureObject, cudaGraphicsUnregisterResource, cudaMalloc, cudaGraphicsGLRegisterBuffer, cudaGetDeviceProperties
## Dependencies needed to build/run
[X11](../../../README.md#x11), [OpenGL](../../../README.md#opengl), [Freeglut](../../../README.md#freeglut), [GLEW](../../../README.md#glew)
## Prerequisites
Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

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/* Copyright (c) 2022, 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.
*/
/*
Bicubic texture filtering sample
sgreen 6/2008
This sample demonstrates how to efficiently implement bicubic texture
filtering in CUDA.
Bicubic filtering is a higher order interpolation method that produces
smoother results than bilinear interpolation:
http://en.wikipedia.org/wiki/Bicubic
It requires reading a 4 x 4 pixel neighbourhood rather than the
2 x 2 area required by bilinear filtering.
Current graphics hardware doesn't support bicubic filtering natively,
but it is possible to compose a bicubic filter using just 4 bilinear
lookups by offsetting the sample position within each texel and weighting
the samples correctly. The only disadvantage to this method is that the
hardware only maintains 9-bits of filtering precision within each texel.
See "Fast Third-Order Texture Filtering", Sigg & Hadwiger, GPU Gems 2:
https://developer.nvidia.com/gpugems/gpugems2/part-iii-high-quality-rendering/chapter-20-fast-third-order-texture-filtering
v1.1 - updated to include the brute force method using 16 texture lookups.
v1.2 - added Catmull-Rom interpolation
Example performance results from GeForce 8800 GTS:
Bilinear - 5500 MPixels/sec
Bicubic - 1400 MPixels/sec
Fast Bicubic - 2100 MPixels/sec
*/
// OpenGL Graphics includes
#include <helper_gl.h>
#if defined(__APPLE__) || defined(MACOSX)
#pragma clang diagnostic ignored "-Wdeprecated-declarations"
#include <GLUT/glut.h>
#else
#include <GL/freeglut.h>
#endif
// Includes
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// CUDA system and GL includes
#include <cuda_gl_interop.h>
#include <cuda_runtime.h>
// Helper functions
#include <helper_cuda.h> // CUDA device initialization helper functions
#include <helper_functions.h> // CUDA SDK Helper functions
typedef unsigned int uint;
typedef unsigned char uchar;
#define USE_BUFFER_TEX 0
#ifndef MAX
#define MAX(a, b) ((a < b) ? b : a)
#endif
// Auto-Verification Code
const int frameCheckNumber = 4;
int fpsCount = 0; // FPS count for averaging
int fpsLimit = 4; // FPS limit for sampling
int g_Index = 0;
unsigned int frameCount = 0;
unsigned int g_TotalErrors = 0;
StopWatchInterface *timer = 0;
bool g_Verify = false;
int *pArgc = NULL;
char **pArgv = NULL;
#define MAX_EPSILON_ERROR 5.0f
#define REFRESH_DELAY 10 // ms
static const char *sSDKsample = "CUDA BicubicTexture";
// Define the files that are to be save and the reference images for validation
const char *sFilterMode[] = {"Nearest", "Bilinear", "Bicubic", "Fast Bicubic", "Catmull-Rom", NULL};
const char *sOriginal[] =
{"0_nearest.ppm", "1_bilinear.ppm", "2_bicubic.ppm", "3_fastbicubic.ppm", "4_catmull-rom.ppm", NULL};
const char *sReference[] =
{"0_nearest.ppm", "1_bilinear.ppm", "2_bicubic.ppm", "3_fastbicubic.ppm", "4_catmull-rom.ppm", NULL};
const char *srcImageFilename = "teapot512.pgm";
char *dumpFilename = NULL;
uint width = 512, height = 512;
uint imageWidth, imageHeight;
dim3 blockSize(16, 16);
dim3 gridSize(width / blockSize.x, height / blockSize.y);
enum eFilterMode { MODE_NEAREST, MODE_BILINEAR, MODE_BICUBIC, MODE_FAST_BICUBIC, MODE_CATMULL_ROM, NUM_MODES };
eFilterMode g_FilterMode = MODE_FAST_BICUBIC;
bool drawCurves = false;
GLuint pbo = 0; // OpenGL pixel buffer object
struct cudaGraphicsResource *cuda_pbo_resource; // handles OpenGL-CUDA exchange
GLuint displayTex = 0;
GLuint bufferTex = 0;
GLuint fprog; // fragment program (shader)
float tx = -27.75f, ty = -189.0f; // image translation
float scale = 0.125f; // image scale
float cx, cy; // image centre
void display();
void initGLBuffers();
void runBenchmark(int iterations);
void cleanup();
#define GL_TEXTURE_TYPE GL_TEXTURE_RECTANGLE_ARB
// #define GL_TEXTURE_TYPE GL_TEXTURE_2D
extern "C" void initGL(int *argc, char **argv);
extern "C" void loadImageData(int argc, char **argv);
extern "C" void initTexture(int imageWidth, int imageHeight, uchar *h_data);
extern "C" void freeTexture();
extern "C" void render(int width,
int height,
float tx,
float ty,
float scale,
float cx,
float cy,
dim3 blockSize,
dim3 gridSize,
eFilterMode filter_mode,
uchar4 *output);
// w0, w1, w2, and w3 are the four cubic B-spline basis functions
float bspline_w0(float a) { return (1.0f / 6.0f) * (-a * a * a + 3.0f * a * a - 3.0f * a + 1.0f); }
float bspline_w1(float a) { return (1.0f / 6.0f) * (3.0f * a * a * a - 6.0f * a * a + 4.0f); }
float bspline_w2(float a) { return (1.0f / 6.0f) * (-3.0f * a * a * a + 3.0f * a * a + 3.0f * a + 1.0f); }
__host__ __device__ float bspline_w3(float a) { return (1.0f / 6.0f) * (a * a * a); }
void computeFPS()
{
frameCount++;
fpsCount++;
if (fpsCount == fpsLimit - 1) {
g_Verify = true;
}
if (fpsCount == fpsLimit) {
char fps[256];
float ifps = 1.f / (sdkGetAverageTimerValue(&timer) / 1000.f);
sprintf(fps, "%s %s <%s>: %3.1f fps", "", sSDKsample, sFilterMode[g_FilterMode], ifps);
glutSetWindowTitle(fps);
fpsCount = 0;
sdkResetTimer(&timer);
}
}
void plotCurve(float (*func)(float))
{
const int steps = 100;
glBegin(GL_LINE_STRIP);
for (int i = 0; i < steps; i++) {
float x = i / (float)(steps - 1);
glVertex2f(x, func(x));
}
glEnd();
}
// display results using OpenGL (called by GLUT)
void display()
{
sdkStartTimer(&timer);
// map PBO to get CUDA device pointer
uchar4 *d_output;
checkCudaErrors(cudaGraphicsMapResources(1, &cuda_pbo_resource, 0));
size_t num_bytes;
checkCudaErrors(cudaGraphicsResourceGetMappedPointer((void **)&d_output, &num_bytes, cuda_pbo_resource));
render(imageWidth, imageHeight, tx, ty, scale, cx, cy, blockSize, gridSize, g_FilterMode, d_output);
checkCudaErrors(cudaGraphicsUnmapResources(1, &cuda_pbo_resource, 0));
// Common display path
{
// display results
glClear(GL_COLOR_BUFFER_BIT);
#if USE_BUFFER_TEX
// display using buffer texture
glBindTexture(GL_TEXTURE_BUFFER_EXT, bufferTex);
glBindProgramARB(GL_FRAGMENT_PROGRAM_ARB, fprog);
glEnable(GL_FRAGMENT_PROGRAM_ARB);
glProgramLocalParameterI4iNV(GL_FRAGMENT_PROGRAM_ARB, 0, width, 0, 0, 0);
#else
// download image from PBO to OpenGL texture
glBindBuffer(GL_PIXEL_UNPACK_BUFFER_ARB, pbo);
glBindTexture(GL_TEXTURE_TYPE, displayTex);
glPixelStorei(GL_UNPACK_ALIGNMENT, 1);
glTexSubImage2D(GL_TEXTURE_TYPE, 0, 0, 0, width, height, GL_BGRA, GL_UNSIGNED_BYTE, 0);
glEnable(GL_TEXTURE_TYPE);
#endif
// draw textured quad
glDisable(GL_DEPTH_TEST);
glBegin(GL_QUADS);
glTexCoord2f(0.0f, (GLfloat)height);
glVertex2f(0.0f, 0.0f);
glTexCoord2f((GLfloat)width, (GLfloat)height);
glVertex2f(1.0f, 0.0f);
glTexCoord2f((GLfloat)width, 0.0f);
glVertex2f(1.0f, 1.0f);
glTexCoord2f(0.0f, 0.0f);
glVertex2f(0.0f, 1.0f);
glEnd();
glDisable(GL_TEXTURE_TYPE);
glDisable(GL_FRAGMENT_PROGRAM_ARB);
glBindBuffer(GL_PIXEL_UNPACK_BUFFER_ARB, 0);
if (drawCurves) {
// draw spline curves
glPushMatrix();
glScalef(0.25, 0.25, 1.0);
glTranslatef(0.0, 2.0, 0.0);
glColor3f(1.0, 0.0, 0.0);
plotCurve(bspline_w3);
glTranslatef(1.0, 0.0, 0.0);
glColor3f(0.0, 1.0, 0.0);
plotCurve(bspline_w2);
glTranslatef(1.0, 0.0, 0.0);
glColor3f(0.0, 0.0, 1.0);
plotCurve(bspline_w1);
glTranslatef(1.0, 0.0, 0.0);
glColor3f(1.0, 0.0, 1.0);
plotCurve(bspline_w0);
glPopMatrix();
glColor3f(1.0, 1.0, 1.0);
}
}
glutSwapBuffers();
glutReportErrors();
sdkStopTimer(&timer);
computeFPS();
}
// GLUT callback functions
void timerEvent(int value)
{
if (glutGetWindow()) {
glutPostRedisplay();
glutTimerFunc(REFRESH_DELAY, timerEvent, 0);
}
}
void keyboard(unsigned char key, int /*x*/, int /*y*/)
{
switch (key) {
case 27:
#if defined(__APPLE__) || defined(MACOSX)
exit(EXIT_SUCCESS);
#else
glutDestroyWindow(glutGetWindow());
return;
#endif
case '1':
g_FilterMode = MODE_NEAREST;
break;
case '2':
g_FilterMode = MODE_BILINEAR;
break;
case '3':
g_FilterMode = MODE_BICUBIC;
break;
case '4':
g_FilterMode = MODE_FAST_BICUBIC;
break;
case '5':
g_FilterMode = MODE_CATMULL_ROM;
break;
case '=':
case '+':
scale *= 0.5f;
break;
case '-':
scale *= 2.0f;
break;
case 'r':
scale = 1.0f;
tx = ty = 0.0f;
break;
case 'd':
printf("%f, %f, %f\n", tx, ty, scale);
break;
case 'b':
runBenchmark(500);
break;
case 'c':
drawCurves ^= 1;
break;
default:
break;
}
if (key >= '1' && key <= '5') {
printf("> FilterMode[%d] = %s\n", g_FilterMode + 1, sFilterMode[g_FilterMode]);
}
}
int ox, oy;
int buttonState = 0;
void mouse(int button, int state, int x, int y)
{
if (state == GLUT_DOWN) {
buttonState |= 1 << button;
}
else if (state == GLUT_UP) {
buttonState = 0;
}
ox = x;
oy = y;
}
void motion(int x, int y)
{
float dx, dy;
dx = (float)(x - ox);
dy = (float)(y - oy);
if (buttonState & 1) {
// left = translate
tx -= dx * scale;
ty -= dy * scale;
}
else if (buttonState & 2) {
// middle = zoom
scale -= dy / 1000.0f;
}
ox = x;
oy = y;
}
void reshape(int x, int y)
{
width = x;
height = y;
imageWidth = width;
imageHeight = height;
initGLBuffers();
glViewport(0, 0, x, y);
glMatrixMode(GL_MODELVIEW);
glLoadIdentity();
glMatrixMode(GL_PROJECTION);
glLoadIdentity();
glOrtho(0.0, 1.0, 0.0, 1.0, 0.0, 1.0);
}
void cleanup()
{
freeTexture();
checkCudaErrors(cudaGraphicsUnregisterResource(cuda_pbo_resource));
glDeleteBuffers(1, &pbo);
#if USE_BUFFER_TEX
glDeleteTextures(1, &bufferTex);
glDeleteProgramsARB(1, &fprog);
#else
glDeleteTextures(1, &displayTex);
#endif
sdkDeleteTimer(&timer);
}
int iDivUp(int a, int b) { return (a % b != 0) ? (a / b + 1) : (a / b); }
void initGLBuffers()
{
if (pbo) {
// delete old buffer
checkCudaErrors(cudaGraphicsUnregisterResource(cuda_pbo_resource));
glDeleteBuffers(1, &pbo);
}
// create pixel buffer object for display
glGenBuffers(1, &pbo);
glBindBuffer(GL_PIXEL_UNPACK_BUFFER_ARB, pbo);
glBufferData(GL_PIXEL_UNPACK_BUFFER_ARB, width * height * sizeof(uchar4), 0, GL_STREAM_DRAW_ARB);
glBindBuffer(GL_PIXEL_UNPACK_BUFFER_ARB, 0);
checkCudaErrors(cudaGraphicsGLRegisterBuffer(&cuda_pbo_resource, pbo, cudaGraphicsMapFlagsWriteDiscard));
#if USE_BUFFER_TEX
// create buffer texture, attach to pbo
if (bufferTex) {
glDeleteTextures(1, &bufferTex);
}
glGenTextures(1, &bufferTex);
glBindTexture(GL_TEXTURE_BUFFER_EXT, bufferTex);
glTexBufferEXT(GL_TEXTURE_BUFFER_EXT, GL_RGBA8, pbo);
glBindTexture(GL_TEXTURE_BUFFER_EXT, 0);
#else
// create texture for display
if (displayTex) {
glDeleteTextures(1, &displayTex);
}
glGenTextures(1, &displayTex);
glBindTexture(GL_TEXTURE_TYPE, displayTex);
glTexImage2D(GL_TEXTURE_TYPE, 0, GL_RGBA8, width, height, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
glTexParameteri(GL_TEXTURE_TYPE, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
glTexParameteri(GL_TEXTURE_TYPE, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
glBindTexture(GL_TEXTURE_TYPE, 0);
#endif
// calculate new grid size
gridSize = dim3(iDivUp(width, blockSize.x), iDivUp(height, blockSize.y));
}
void mainMenu(int i) { keyboard(i, 0, 0); }
void initMenus()
{
glutCreateMenu(mainMenu);
glutAddMenuEntry("Nearest [1]", '1');
glutAddMenuEntry("Bilinear [2]", '2');
glutAddMenuEntry("Bicubic [3]", '3');
glutAddMenuEntry("Fast Bicubic [4]", '4');
glutAddMenuEntry("Catmull-Rom [5]", '5');
glutAddMenuEntry("Zoom in [=]", '=');
glutAddMenuEntry("Zoom out [-]", '-');
glutAddMenuEntry("Benchmark [b]", 'b');
glutAddMenuEntry("DrawCurves [c]", 'c');
glutAddMenuEntry("Quit [esc]", 27);
glutAttachMenu(GLUT_RIGHT_BUTTON);
}
void runBenchmark(int iterations)
{
printf("[%s] (Benchmark Mode)\n", sSDKsample);
sdkCreateTimer(&timer);
uchar4 *d_output;
checkCudaErrors(cudaGraphicsMapResources(1, &cuda_pbo_resource, 0));
size_t num_bytes;
checkCudaErrors(cudaGraphicsResourceGetMappedPointer((void **)&d_output, &num_bytes, cuda_pbo_resource));
sdkStartTimer(&timer);
for (int i = 0; i < iterations; ++i) {
render(imageWidth, imageHeight, tx, ty, scale, cx, cy, blockSize, gridSize, g_FilterMode, d_output);
}
cudaDeviceSynchronize();
sdkStopTimer(&timer);
float time = sdkGetTimerValue(&timer) / (float)iterations;
checkCudaErrors(cudaGraphicsUnmapResources(1, &cuda_pbo_resource, 0));
printf("time: %0.3f ms, %f Mpixels/sec\n", time, (width * height / (time * 0.001f)) / 1e6);
}
void runAutoTest(int argc, char **argv, const char *dump_filename, eFilterMode filter_mode)
{
cudaDeviceProp deviceProps;
int devID = findCudaDevice(argc, (const char **)argv);
checkCudaErrors(cudaGetDeviceProperties(&deviceProps, devID));
printf("[%s] (automated testing w/ readback)\n", sSDKsample);
printf("CUDA device [%s] has %d Multi-Processors\n", deviceProps.name, deviceProps.multiProcessorCount);
loadImageData(argc, argv);
uchar4 *d_output;
checkCudaErrors(cudaMalloc((void **)&d_output, imageWidth * imageHeight * 4));
unsigned int *h_result = (unsigned int *)malloc(width * height * sizeof(unsigned int));
printf("AutoTest: %s Filter Mode: <%s>\n", sSDKsample, sFilterMode[g_FilterMode]);
render(imageWidth, imageHeight, tx, ty, scale, cx, cy, blockSize, gridSize, filter_mode, d_output);
// check if kernel execution generated an error
getLastCudaError("Error: render (bicubicTexture) Kernel execution FAILED");
checkCudaErrors(cudaDeviceSynchronize());
cudaMemcpy(h_result, d_output, imageWidth * imageHeight * 4, cudaMemcpyDeviceToHost);
sdkSavePPM4ub(dump_filename, (unsigned char *)h_result, imageWidth, imageHeight);
checkCudaErrors(cudaFree(d_output));
free(h_result);
}
#if USE_BUFFER_TEX
// fragment program for reading from buffer texture
static const char *shaderCode = "!!NVfp4.0\n"
"INT PARAM width = program.local[0];\n"
"INT TEMP index;\n"
"FLR.S index, fragment.texcoord;\n"
"MAD.S index.x, index.y, width, index.x;\n" // compute 1D index from 2D
// coords
"TXF result.color, index.x, texture[0], BUFFER;\n"
"END";
#endif
GLuint compileASMShader(GLenum program_type, const char *code)
{
GLuint program_id;
glGenProgramsARB(1, &program_id);
glBindProgramARB(program_type, program_id);
glProgramStringARB(program_type, GL_PROGRAM_FORMAT_ASCII_ARB, (GLsizei)strlen(code), (GLubyte *)code);
GLint error_pos;
glGetIntegerv(GL_PROGRAM_ERROR_POSITION_ARB, &error_pos);
if (error_pos != -1) {
const GLubyte *error_string;
error_string = glGetString(GL_PROGRAM_ERROR_STRING_ARB);
fprintf(stderr, "Program error at position: %d\n%s\n", (int)error_pos, error_string);
return 0;
}
return program_id;
}
void initialize(int argc, char **argv)
{
printf("[%s] (OpenGL Mode)\n", sSDKsample);
initGL(&argc, argv);
// use command-line specified CUDA device, otherwise use device with highest
// Gflops/s
int devID = findCudaDevice(argc, (const char **)argv);
// get number of SMs on this GPU
cudaDeviceProp deviceProps;
checkCudaErrors(cudaGetDeviceProperties(&deviceProps, devID));
printf("CUDA device [%s] has %d Multi-Processors\n", deviceProps.name, deviceProps.multiProcessorCount);
// Create the timer (for fps measurement)
sdkCreateTimer(&timer);
// load image from disk
loadImageData(argc, argv);
printf("\n"
"\tControls\n"
"\t=/- : Zoom in/out\n"
"\tb : Run Benchmark g_FilterMode\n"
"\tc : Draw Bicubic Spline Curve\n"
"\t[esc] - Quit\n\n"
"\tPress number keys to change filtering g_FilterMode:\n\n"
"\t1 : nearest filtering\n"
"\t2 : bilinear filtering\n"
"\t3 : bicubic filtering\n"
"\t4 : fast bicubic filtering\n"
"\t5 : Catmull-Rom filtering\n\n");
initGLBuffers();
#if USE_BUFFER_TEX
fprog = compileASMShader(GL_FRAGMENT_PROGRAM_ARB, shaderCode);
if (!fprog) {
exit(EXIT_SUCCESS);
}
#endif
}
void initGL(int *argc, char **argv)
{
// initialize GLUT callback functions
glutInit(argc, argv);
glutInitDisplayMode(GLUT_RGBA | GLUT_ALPHA | GLUT_DOUBLE | GLUT_DEPTH);
glutInitWindowSize(width, height);
glutCreateWindow("CUDA bicubic texture filtering");
glutDisplayFunc(display);
glutKeyboardFunc(keyboard);
glutMouseFunc(mouse);
glutMotionFunc(motion);
glutReshapeFunc(reshape);
glutTimerFunc(REFRESH_DELAY, timerEvent, 0);
#if defined(__APPLE__) || defined(MACOSX)
atexit(cleanup);
#else
glutCloseFunc(cleanup);
#endif
initMenus();
if (!isGLVersionSupported(2, 0) || !areGLExtensionsSupported("GL_ARB_pixel_buffer_object")) {
fprintf(stderr, "Required OpenGL extensions are missing.");
exit(EXIT_FAILURE);
}
#if USE_BUFFER_TEX
if (!areGLExtensionsSupported("GL_EXT_texture_buffer_object")) {
fprintf(stderr, "OpenGL extension: GL_EXT_texture_buffer_object missing.\n");
exit(EXIT_FAILURE);
}
if (!areGLExtensionsSupported("GL_NV_gpu_program4")) {
fprintf(stderr, "OpenGL extension: GL_NV_gpu_program4 missing.\n");
exit(EXIT_FAILURE);
}
#endif
}
void loadImageData(int argc, char **argv)
{
// load image from disk
uchar *h_data = NULL;
char *srcImagePath = NULL;
if ((srcImagePath = sdkFindFilePath(srcImageFilename, argv[0])) == NULL) {
printf("bicubicTexture loadImageData() could not find <%s>\nExiting...\n", srcImageFilename);
exit(EXIT_FAILURE);
}
sdkLoadPGM<unsigned char>(srcImagePath, &h_data, &imageWidth, &imageHeight);
printf("Loaded '%s', %d x %d pixels\n", srcImageFilename, imageWidth, imageHeight);
cx = imageWidth * 0.5f;
cy = imageHeight * 0.5f;
// initialize texture
initTexture(imageWidth, imageHeight, h_data);
}
void printHelp()
{
printf("bicubicTexture Usage:\n");
printf("\t-file=output.ppm (output file to save to disk)\n");
printf("\t-mode=n (0=Nearest, 1=Bilinear, 2=Bicubic, 3=Fast-Bicubic, "
"4=Catmull-Rom\n");
}
////////////////////////////////////////////////////////////////////////////////
// Program main
////////////////////////////////////////////////////////////////////////////////
int main(int argc, char **argv)
{
pArgc = &argc;
pArgv = argv;
// parse arguments
char *filename;
#if defined(__linux__)
setenv("DISPLAY", ":0", 0);
#endif
printf("Starting bicubicTexture\n");
if (checkCmdLineFlag(argc, (const char **)argv, "help")) {
printHelp();
exit(EXIT_SUCCESS);
}
if (checkCmdLineFlag(argc, (const char **)argv, "mode")) {
g_FilterMode = (eFilterMode)getCmdLineArgumentInt(argc, (const char **)argv, "mode");
if (g_FilterMode < 0 || g_FilterMode >= NUM_MODES) {
printf("Invalid Mode setting %d\n", g_FilterMode);
exit(EXIT_FAILURE);
}
}
if (getCmdLineArgumentString(argc, (const char **)argv, "file", &filename)) {
dumpFilename = filename;
fpsLimit = frameCheckNumber;
// Running CUDA kernel (bicubicFiltering) without visualization (QA
// Testing/Verification)
runAutoTest(argc, argv, (const char *)dumpFilename, g_FilterMode);
}
else {
// This runs the CUDA kernel (bicubicFiltering) + OpenGL visualization
initialize(argc, argv);
glutMainLoop();
}
exit(EXIT_SUCCESS);
}

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/* Copyright (c) 2022, 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.
*/
#ifndef _BICUBICTEXTURE_CU_
#define _BICUBICTEXTURE_CU_
#include <helper_math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// includes, cuda
#include <helper_cuda.h>
typedef unsigned int uint;
typedef unsigned char uchar;
#include "bicubicTexture_kernel.cuh"
cudaArray *d_imageArray = 0;
extern "C" void initTexture(int imageWidth, int imageHeight, uchar *h_data)
{
// allocate array and copy image data
cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc(8, 0, 0, 0, cudaChannelFormatKindUnsigned);
checkCudaErrors(cudaMallocArray(&d_imageArray, &channelDesc, imageWidth, imageHeight));
checkCudaErrors(cudaMemcpy2DToArray(d_imageArray,
0,
0,
h_data,
imageWidth * sizeof(uchar),
imageWidth * sizeof(uchar),
imageHeight,
cudaMemcpyHostToDevice));
free(h_data);
cudaResourceDesc texRes;
memset(&texRes, 0, sizeof(cudaResourceDesc));
texRes.resType = cudaResourceTypeArray;
texRes.res.array.array = d_imageArray;
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModeLinear;
texDescr.addressMode[0] = cudaAddressModeClamp;
texDescr.addressMode[1] = cudaAddressModeClamp;
texDescr.readMode = cudaReadModeNormalizedFloat;
checkCudaErrors(cudaCreateTextureObject(&texObjLinear, &texRes, &texDescr, NULL));
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = false;
texDescr.filterMode = cudaFilterModePoint;
texDescr.addressMode[0] = cudaAddressModeClamp;
texDescr.addressMode[1] = cudaAddressModeClamp;
texDescr.readMode = cudaReadModeNormalizedFloat;
checkCudaErrors(cudaCreateTextureObject(&texObjPoint, &texRes, &texDescr, NULL));
}
extern "C" void freeTexture()
{
checkCudaErrors(cudaDestroyTextureObject(texObjPoint));
checkCudaErrors(cudaDestroyTextureObject(texObjLinear));
checkCudaErrors(cudaFreeArray(d_imageArray));
}
// render image using CUDA
extern "C" void render(int width,
int height,
float tx,
float ty,
float scale,
float cx,
float cy,
dim3 blockSize,
dim3 gridSize,
int filter_mode,
uchar4 *output)
{
// call CUDA kernel, writing results to PBO memory
switch (filter_mode) {
case MODE_NEAREST:
d_render<<<gridSize, blockSize>>>(output, width, height, tx, ty, scale, cx, cy, texObjPoint);
break;
case MODE_BILINEAR:
d_render<<<gridSize, blockSize>>>(output, width, height, tx, ty, scale, cx, cy, texObjLinear);
break;
case MODE_BICUBIC:
d_renderBicubic<<<gridSize, blockSize>>>(output, width, height, tx, ty, scale, cx, cy, texObjPoint);
break;
case MODE_FAST_BICUBIC:
d_renderFastBicubic<<<gridSize, blockSize>>>(output, width, height, tx, ty, scale, cx, cy, texObjLinear);
break;
case MODE_CATROM:
d_renderCatRom<<<gridSize, blockSize>>>(output, width, height, tx, ty, scale, cx, cy, texObjPoint);
break;
}
getLastCudaError("kernel failed");
}
#endif

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/* Copyright (c) 2022, 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.
*/
/*
Bicubic filtering
See GPU Gems 2: "Fast Third-Order Texture Filtering", Sigg & Hadwiger
https://developer.nvidia.com/gpugems/gpugems2/part-iii-high-quality-rendering/chapter-20-fast-third-order-texture-filtering
Reformulation thanks to Keenan Crane
*/
#ifndef _BICUBICTEXTURE_KERNEL_CUH_
#define _BICUBICTEXTURE_KERNEL_CUH_
enum Mode { MODE_NEAREST, MODE_BILINEAR, MODE_BICUBIC, MODE_FAST_BICUBIC, MODE_CATROM };
cudaTextureObject_t texObjPoint, texObjLinear;
// w0, w1, w2, and w3 are the four cubic B-spline basis functions
__host__ __device__ float w0(float a)
{
// return (1.0f/6.0f)*(-a*a*a + 3.0f*a*a - 3.0f*a + 1.0f);
return (1.0f / 6.0f) * (a * (a * (-a + 3.0f) - 3.0f) + 1.0f); // optimized
}
__host__ __device__ float w1(float a)
{
// return (1.0f/6.0f)*(3.0f*a*a*a - 6.0f*a*a + 4.0f);
return (1.0f / 6.0f) * (a * a * (3.0f * a - 6.0f) + 4.0f);
}
__host__ __device__ float w2(float a)
{
// return (1.0f/6.0f)*(-3.0f*a*a*a + 3.0f*a*a + 3.0f*a + 1.0f);
return (1.0f / 6.0f) * (a * (a * (-3.0f * a + 3.0f) + 3.0f) + 1.0f);
}
__host__ __device__ float w3(float a) { return (1.0f / 6.0f) * (a * a * a); }
// g0 and g1 are the two amplitude functions
__device__ float g0(float a) { return w0(a) + w1(a); }
__device__ float g1(float a) { return w2(a) + w3(a); }
// h0 and h1 are the two offset functions
__device__ float h0(float a)
{
// note +0.5 offset to compensate for CUDA linear filtering convention
return -1.0f + w1(a) / (w0(a) + w1(a)) + 0.5f;
}
__device__ float h1(float a) { return 1.0f + w3(a) / (w2(a) + w3(a)) + 0.5f; }
// filter 4 values using cubic splines
template <class T> __device__ T cubicFilter(float x, T c0, T c1, T c2, T c3)
{
T r;
r = c0 * w0(x);
r += c1 * w1(x);
r += c2 * w2(x);
r += c3 * w3(x);
return r;
}
// slow but precise bicubic lookup using 16 texture lookups
template <class T, class R> // texture data type, return type
__device__ R tex2DBicubic(const cudaTextureObject_t tex, float x, float y)
{
x -= 0.5f;
y -= 0.5f;
float px = floorf(x);
float py = floorf(y);
float fx = x - px;
float fy = y - py;
return cubicFilter<R>(
fy,
cubicFilter<R>(fx,
tex2D<R>(tex, px - 1, py - 1),
tex2D<R>(tex, px, py - 1),
tex2D<R>(tex, px + 1, py - 1),
tex2D<R>(tex, px + 2, py - 1)),
cubicFilter<R>(
fx, tex2D<R>(tex, px - 1, py), tex2D<R>(tex, px, py), tex2D<R>(tex, px + 1, py), tex2D<R>(tex, px + 2, py)),
cubicFilter<R>(fx,
tex2D<R>(tex, px - 1, py + 1),
tex2D<R>(tex, px, py + 1),
tex2D<R>(tex, px + 1, py + 1),
tex2D<R>(tex, px + 2, py + 1)),
cubicFilter<R>(fx,
tex2D<R>(tex, px - 1, py + 2),
tex2D<R>(tex, px, py + 2),
tex2D<R>(tex, px + 1, py + 2),
tex2D<R>(tex, px + 2, py + 2)));
}
// fast bicubic texture lookup using 4 bilinear lookups
// assumes texture is set to non-normalized coordinates, point sampling
template <class T, class R> // texture data type, return type
__device__ R tex2DFastBicubic(const cudaTextureObject_t tex, float x, float y)
{
x -= 0.5f;
y -= 0.5f;
float px = floorf(x);
float py = floorf(y);
float fx = x - px;
float fy = y - py;
// note: we could store these functions in a lookup table texture, but maths
// is cheap
float g0x = g0(fx);
float g1x = g1(fx);
float h0x = h0(fx);
float h1x = h1(fx);
float h0y = h0(fy);
float h1y = h1(fy);
R r = g0(fy) * (g0x * tex2D<R>(tex, px + h0x, py + h0y) + g1x * tex2D<R>(tex, px + h1x, py + h0y))
+ g1(fy) * (g0x * tex2D<R>(tex, px + h0x, py + h1y) + g1x * tex2D<R>(tex, px + h1x, py + h1y));
return r;
}
// higher-precision 2D bilinear lookup
template <class T, class R> // texture data type, return type
__device__ R tex2DBilinear(const cudaTextureObject_t tex, float x, float y)
{
x -= 0.5f;
y -= 0.5f;
float px = floorf(x); // integer position
float py = floorf(y);
float fx = x - px; // fractional position
float fy = y - py;
px += 0.5f;
py += 0.5f;
return lerp(lerp(tex2D<R>(tex, px, py), tex2D<R>(tex, px + 1.0f, py), fx),
lerp(tex2D<R>(tex, px, py + 1.0f), tex2D<R>(tex, px + 1.0f, py + 1.0f), fx),
fy);
}
#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 200
/*
bilinear 2D texture lookup using tex2Dgather function
- tex2Dgather() returns the four neighbouring samples in a single texture
lookup
- it is only supported on the Fermi architecture
- you can select which component to fetch using the "comp" parameter
- it can be used to efficiently implement custom texture filters
The samples are returned in a 4-vector in the following order:
x: (0, 1)
y: (1, 1)
z: (1, 0)
w: (0, 0)
*/
template <class T, class R> // texture data type, return type
__device__ float tex2DBilinearGather(const cudaTextureObject_t tex, float x, float y, int comp = 0)
{
x -= 0.5f;
y -= 0.5f;
float px = floorf(x); // integer position
float py = floorf(y);
float fx = x - px; // fractional position
float fy = y - py;
R samples = tex2Dgather<R>(tex, px + 0.5f, py + 0.5f, comp);
return lerp(lerp((float)samples.w, (float)samples.z, fx), lerp((float)samples.x, (float)samples.y, fx), fy);
}
#endif
// Catmull-Rom interpolation
__host__ __device__ float catrom_w0(float a)
{
// return -0.5f*a + a*a - 0.5f*a*a*a;
return a * (-0.5f + a * (1.0f - 0.5f * a));
}
__host__ __device__ float catrom_w1(float a)
{
// return 1.0f - 2.5f*a*a + 1.5f*a*a*a;
return 1.0f + a * a * (-2.5f + 1.5f * a);
}
__host__ __device__ float catrom_w2(float a)
{
// return 0.5f*a + 2.0f*a*a - 1.5f*a*a*a;
return a * (0.5f + a * (2.0f - 1.5f * a));
}
__host__ __device__ float catrom_w3(float a)
{
// return -0.5f*a*a + 0.5f*a*a*a;
return a * a * (-0.5f + 0.5f * a);
}
template <class T> __device__ T catRomFilter(float x, T c0, T c1, T c2, T c3)
{
T r;
r = c0 * catrom_w0(x);
r += c1 * catrom_w1(x);
r += c2 * catrom_w2(x);
r += c3 * catrom_w3(x);
return r;
}
// Note - can't use bilinear trick here because of negative lobes
template <class T, class R> // texture data type, return type
__device__ R tex2DCatRom(const cudaTextureObject_t tex, float x, float y)
{
x -= 0.5f;
y -= 0.5f;
float px = floorf(x);
float py = floorf(y);
float fx = x - px;
float fy = y - py;
return catRomFilter<R>(
fy,
catRomFilter<R>(fx,
tex2D<R>(tex, px - 1, py - 1),
tex2D<R>(tex, px, py - 1),
tex2D<R>(tex, px + 1, py - 1),
tex2D<R>(tex, px + 2, py - 1)),
catRomFilter<R>(
fx, tex2D<R>(tex, px - 1, py), tex2D<R>(tex, px, py), tex2D<R>(tex, px + 1, py), tex2D<R>(tex, px + 2, py)),
catRomFilter<R>(fx,
tex2D<R>(tex, px - 1, py + 1),
tex2D<R>(tex, px, py + 1),
tex2D<R>(tex, px + 1, py + 1),
tex2D<R>(tex, px + 2, py + 1)),
catRomFilter<R>(fx,
tex2D<R>(tex, px - 1, py + 2),
tex2D<R>(tex, px, py + 2),
tex2D<R>(tex, px + 1, py + 2),
tex2D<R>(tex, px + 2, py + 2)));
}
// test functions
// render image using normal bilinear texture lookup
__global__ void d_render(uchar4 *d_output,
uint width,
uint height,
float tx,
float ty,
float scale,
float cx,
float cy,
cudaTextureObject_t texObj)
{
uint x = __umul24(blockIdx.x, blockDim.x) + threadIdx.x;
uint y = __umul24(blockIdx.y, blockDim.y) + threadIdx.y;
uint i = __umul24(y, width) + x;
float u = (x - cx) * scale + cx + tx;
float v = (y - cy) * scale + cy + ty;
if ((x < width) && (y < height)) {
// write output color
float c = tex2D<float>(texObj, u, v);
// float c = tex2DBilinear<uchar, float>(tex, u, v);
// float c = tex2DBilinearGather<uchar, uchar4>(tex2, u, v, 0) / 255.0f;
d_output[i] = make_uchar4(c * 0xff, c * 0xff, c * 0xff, 0);
}
}
// render image using bicubic texture lookup
__global__ void d_renderBicubic(uchar4 *d_output,
uint width,
uint height,
float tx,
float ty,
float scale,
float cx,
float cy,
cudaTextureObject_t texObj)
{
uint x = __umul24(blockIdx.x, blockDim.x) + threadIdx.x;
uint y = __umul24(blockIdx.y, blockDim.y) + threadIdx.y;
uint i = __umul24(y, width) + x;
float u = (x - cx) * scale + cx + tx;
float v = (y - cy) * scale + cy + ty;
if ((x < width) && (y < height)) {
// write output color
float c = tex2DBicubic<uchar, float>(texObj, u, v);
d_output[i] = make_uchar4(c * 0xff, c * 0xff, c * 0xff, 0);
}
}
// render image using fast bicubic texture lookup
__global__ void d_renderFastBicubic(uchar4 *d_output,
uint width,
uint height,
float tx,
float ty,
float scale,
float cx,
float cy,
cudaTextureObject_t texObj)
{
uint x = __umul24(blockIdx.x, blockDim.x) + threadIdx.x;
uint y = __umul24(blockIdx.y, blockDim.y) + threadIdx.y;
uint i = __umul24(y, width) + x;
float u = (x - cx) * scale + cx + tx;
float v = (y - cy) * scale + cy + ty;
if ((x < width) && (y < height)) {
// write output color
float c = tex2DFastBicubic<uchar, float>(texObj, u, v);
d_output[i] = make_uchar4(c * 0xff, c * 0xff, c * 0xff, 0);
}
}
// render image using Catmull-Rom texture lookup
__global__ void d_renderCatRom(uchar4 *d_output,
uint width,
uint height,
float tx,
float ty,
float scale,
float cx,
float cy,
cudaTextureObject_t texObj)
{
uint x = __umul24(blockIdx.x, blockDim.x) + threadIdx.x;
uint y = __umul24(blockIdx.y, blockDim.y) + threadIdx.y;
uint i = __umul24(y, width) + x;
float u = (x - cx) * scale + cx + tx;
float v = (y - cy) * scale + cy + ty;
if ((x < width) && (y < height)) {
// write output color
float c = tex2DCatRom<uchar, float>(texObj, u, v);
d_output[i] = make_uchar4(c * 0xff, c * 0xff, c * 0xff, 0);
}
}
#endif // _BICUBICTEXTURE_KERNEL_CUH_

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