Inquiry: How is context/max image size being calculated?

[Saijin-Naib]

Looking here:
https://github.com/OpenDroneMap/pypopsift/blob/271/src/popsift.cpp#L130

I am failing to accelerate with pypopsift with images of dimension 8000x6000 and feature-quality of high (4000x3000 resultant), when my GPU supports texture sizes of 32k in OpenGL:

It appears that CUDA texture limits are a bit different:
https://stackoverflow.com/questions/12340265/what-is-the-size-of-my-cuda-texture-memory

Following the math there, my 3-Channel downsized texture for feature extraction should be:

4000x3000  
x 3  
x 4  
=====
144MB 

per frame uncompressed, and should be able to fit in 4GB VRAM with extra 16GB shared memory.

CUDA 11.6 DeviceQuery:

PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite> .\deviceQuery.exe
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite\deviceQuery.exe Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "NVIDIA GeForce GTX 1050 Ti"
  CUDA Driver Version / Runtime Version          11.6 / 11.6
  CUDA Capability Major/Minor version number:    6.1
  Total amount of global memory:                 4096 MBytes (4294770688 bytes)
  ( 6) Multiprocessors, (128) CUDA Cores/MP:     768 CUDA Cores
  GPU Max Clock rate:                            1506 MHz (1.51 GHz)
  Memory Clock rate:                             3504 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 1048576 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
  Total amount of constant memory:               zu bytes
  Total amount of shared memory per block:       zu bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          zu bytes
  Texture alignment:                             zu bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  Device supports Unified Addressing (UVA):      Yes
  Device supports Compute Preemption:            Yes
  Supports Cooperative Kernel Launch:            Yes
  Supports MultiDevice Co-op Kernel Launch:      No
  Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.6, CUDA Runtime Version = 11.6, NumDevs = 1, Device0 = NVIDIA GeForce GTX 1050 Ti
Result = PASS