ConsciousMachines

ConsciousMachines

ConsciousMachines

# send NumPy array data to CUDA code
# =============================================================================
# =============================================================================
# MAIN LESSONS:
# 1. python natively provides "buffer protocol" which is interface to C array
# 2. numpy supports this, and offers you a ptr to the C array data
# 3. use ctypes as native interface to C libraries, send them the ptr
# 4. no point using other tools as they all break with updates
# 5. for cuda, compile it as an extern C shared object
#        need to restart python each time .so changes to reimport w ctypes

ConsciousMachines

ConsciousMachines

ConsciousMachines

ConsciousMachines

ConsciousMachines

// based on https://gist.github.com/kamino410/09df4ecdf37b03cbd05752a7b2e52d3a
// this adds ImGui to an application with CUDA and OpenGL. the thing is, once you use CUDA, ImGui renders very strangely. 
// after 9 hours of debugging I found that putting glBindBuffer before and after the draw call fixes this!
//glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pbo); // THE MAGIC LINE #1 
//glDrawPixels(WIDTH, HEIGHT, GL_RGBA, GL_UNSIGNED_BYTE, 0);
//glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0);   // THE MAGIC LINE #2


#include "imgui/imgui.h" // version 1.78 and 1.60
#include "imgui/imgui_impl_glfw.h"