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/*******************************************************
* Copyright (c) 2015-2019, ArrayFire
* All rights reserved.
*
* This file is distributed under 3-clause BSD license.
* The complete license agreement can be obtained at:
* http://arrayfire.com/licenses/BSD-3-Clause
********************************************************/
#include <forge.h>
#include <cuda_runtime.h>
#include <cuComplex.h>
#define USE_FORGE_CUDA_COPY_HELPERS
#include <ComputeCopy.h>
#include <cstdio>
#include <iostream>
const unsigned DIMX = 1000;
const unsigned DIMY = 800;
static const float dx = 0.1;
static const float FRANGE_START = 0.f;
static const float FRANGE_END = 2 * 3.141592f;
static const size_t DATA_SIZE = ( FRANGE_END - FRANGE_START ) / dx;
void kernel(float* dev_out, int functionCode);
int main(void)
{
float *sin_out;
float *cos_out;
float *tan_out;
float *log_out;
/*
* First Forge call should be a window creation call
* so that necessary OpenGL context is created for any
* other forge::* object to be created successfully
*/
forge::Window wnd(DIMX, DIMY, "Plotting Demo");
wnd.makeCurrent();
forge::Chart chart(FG_CHART_2D);
chart.setAxesLimits(FRANGE_START, FRANGE_END, -1.0f, 1.0f);
/* Create several plot objects which creates the necessary
* vertex buffer objects to hold the different plot types
*/
forge::Plot plt0 = chart.plot( DATA_SIZE, forge::f32); //create a default plot
forge::Plot plt1 = chart.plot( DATA_SIZE, forge::f32, FG_PLOT_LINE, FG_MARKER_NONE); //or specify a specific plot type
forge::Plot plt2 = chart.plot( DATA_SIZE, forge::f32, FG_PLOT_LINE, FG_MARKER_TRIANGLE); //last parameter specifies marker shape
forge::Plot plt3 = chart.plot( DATA_SIZE, forge::f32, FG_PLOT_SCATTER, FG_MARKER_CROSS);
/*
* Set plot colors
*/
plt0.setColor(FG_RED);
plt1.setColor(FG_BLUE);
plt2.setColor(FG_YELLOW); //use a forge predefined color
plt3.setColor((forge::Color) 0x257973FF); //or any hex-valued color
/*
* Set plot legends
*/
plt0.setLegend("Sine");
plt1.setLegend("Cosine");
plt2.setLegend("Tangent");
plt3.setLegend("Log base 10");
FORGE_CUDA_CHECK(cudaMalloc((void**)&sin_out, sizeof(float) * DATA_SIZE * 2));
FORGE_CUDA_CHECK(cudaMalloc((void**)&cos_out, sizeof(float) * DATA_SIZE * 2));
FORGE_CUDA_CHECK(cudaMalloc((void**)&tan_out, sizeof(float) * DATA_SIZE * 2));
FORGE_CUDA_CHECK(cudaMalloc((void**)&log_out, sizeof(float) * DATA_SIZE * 2));
kernel(sin_out, 0);
kernel(cos_out, 1);
kernel(tan_out, 2);
kernel(log_out, 3);
GfxHandle* handles[4];
createGLBuffer(&handles[0], plt0.vertices(), FORGE_VERTEX_BUFFER);
createGLBuffer(&handles[1], plt1.vertices(), FORGE_VERTEX_BUFFER);
createGLBuffer(&handles[2], plt2.vertices(), FORGE_VERTEX_BUFFER);
createGLBuffer(&handles[3], plt3.vertices(), FORGE_VERTEX_BUFFER);
/* copy your data into the vertex buffer object exposed by
* forge::Plot class and then proceed to rendering.
* To help the users with copying the data from compute
* memory to display memory, Forge provides copy headers
* along with the library to help with this task
*/
copyToGLBuffer(handles[0], (ComputeResourceHandle)sin_out, plt0.verticesSize());
copyToGLBuffer(handles[1], (ComputeResourceHandle)cos_out, plt1.verticesSize());
copyToGLBuffer(handles[2], (ComputeResourceHandle)tan_out, plt2.verticesSize());
copyToGLBuffer(handles[3], (ComputeResourceHandle)log_out, plt3.verticesSize());
do {
wnd.draw(chart);
} while(!wnd.close());
FORGE_CUDA_CHECK(cudaFree(sin_out));
FORGE_CUDA_CHECK(cudaFree(cos_out));
FORGE_CUDA_CHECK(cudaFree(tan_out));
FORGE_CUDA_CHECK(cudaFree(log_out));
releaseGLBuffer(handles[0]);
releaseGLBuffer(handles[1]);
releaseGLBuffer(handles[2]);
releaseGLBuffer(handles[3]);
return 0;
}
__global__
void simple_sinf(float* out, const size_t _data_size, int fnCode, const float _dx, const float _frange_start)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < _data_size) {
float x = _frange_start + i * _dx;
int idx = 2 * i;
out[idx] = x;
switch(fnCode) {
case 0:
out[ idx + 1 ] = sinf(x);
break;
case 1:
out[ idx + 1 ] = cosf(x);
break;
case 2:
out[ idx + 1 ] = tanf(x);
break;
case 3:
out[ idx + 1 ] = log10f(x);
break;
}
}
}
inline int divup(int a, int b)
{
return (a+b-1)/b;
}
void kernel(float* dev_out, int functionCode)
{
static const dim3 threads(1024);
dim3 blocks(divup(DATA_SIZE, 1024));
simple_sinf << < blocks, threads >> >(dev_out, DATA_SIZE, functionCode, dx, FRANGE_START);
}
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