PyCuAmpcor: compile files as pure C++ when possible, fix Makefile

[rtburns-jpl]

cc @lijun99

[lijun99]

Thanks, @rtburns-jpl ! Looks good to me. I understand the changes will make interfacing with python easier.
BTW, maybe we should abandon the Makefile, and use a CMakeLists.txt.standalone instead, such as,
https://github.com/lijun99/cuAmpcor/blob/main/CMakeLists.txt

[rtburns-jpl]

For sure, I like CMake much better. I wasn't sure where to put a standalone CMakeLists.txt since there is already the project's CMakeLists.txt in this directory, but I suppose we could either put a standalone one in src/, or figure out how to make the existing one work standalone as well. For now, I think I'll merge this, so that we have at least something working.

[sssangha]

@rtburns-jpl , I was able to get this setup on my end, but encounter a bug I'm not sure how to address. Could you please advise? Thanks:

(pyampcor) [ssangha@trappist merged]$ cuDenseOffsets.py -r SLC/20221004/20221004.slc.full -s SLC/20221016/20221016.slc.full --outprefix ./20151120_20151214/offset --ww 64 --wh 64 --oo 32 --kw 300 --kh 100 --nwac 32 --nwdc 1 --sw 20 --sh 20 --gpuid 2
This is the Open Source version of ISCE.
Some of the workflows depend on a separate licensed package.
To obtain the licensed package, please make a request for ISCE
through the website: https://download.jpl.nasa.gov/ops/request/index.cfm.
Alternatively, if you are a member, or can become a member of WinSAR
you may be able to obtain access to a version of the licensed sofware at
https://winsar.unavco.org/software/isce
./20151120_20151214/offset
API open (R): /u/trappist-r0/ssangha/CA/A064/merged/SLC/20221016/20221016.slc.full
API open (R): /u/trappist-r0/ssangha/CA/A064/merged/SLC/20221004/20221004.slc.full
deramp method (0 for magnitude, 1 for complex): 0
image length: 4178
image width: 21577
the number of windows: 40 by 71
window size for cross-correlation: 64 by 64
initial search range: 20 by 20
the first pixel in reference image is: (20, 20)
search step: 100 by 300
correlation surface zoom-in window size: 16
correlation surface oversampling factor: 32
offsetfield: ./20151120_20151214/offset.bip
gross offsetfield: ./20151120_20151214/offset_gross.bip
snr: ./20151120_20151214/offset_snr.bip
cov: ./20151120_20151214/offset_cov.bip
Set constant grossOffset (0, 0)
redo: False
Running PyCuAmpcor
gpuDeviceInit() Device 2 is not a valid GPU device.

[lijun99]

"--gpuid 2" is to choose the gpu device with id=2 if you have multiple gpus. Please use "nvidia-smi" to check the available gpus on your computer. If you only have one, please use "--gpuid 0" or simply neglect this setting (since gpuid=0 is the default setting).

[sssangha]

Thanks @lijun99 , that part was an input error on my end! However after making the suggested commandline adjustment, I encounter a new error along the same part of the routine:

Total number of windows (azimuth x range): 40 x 71
to be processed in the number of chunks: 40 x 3
Processing chunks (1, x) - (4, x) out of 40
cuArraysCopy.cu(141) : CUDA error : cuArraysCopyToBatchAbsWithOffset_kernel : (209) no kernel image is available for execution on the device.

I have the impression that the parameters I specified in my Makefile may not have been appropriate.

For reference, here is my available GPU:

(pyampcor) [ssangha@trappist merged]$ nvidia-smi
Tue Dec 20 16:41:17 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.39.01 Driver Version: 510.39.01 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA A100 80G... Off | 00000000:41:00.0 Off | 0 |
| N/A 31C P0 42W / 300W | 0MiB / 81920MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+

Could you perhaps advise on what may be the issue here, be it may on the Makefile level or otherwise? Thanks again!

[rtburns-jpl]

I think you just need to add the appropriate compute version for your device here

isce2/contrib/PyCuAmpcor/src/Makefile

Lines 9 to 10 in 9457a34

	-gencode arch=compute_35,code=sm_35 \
	-gencode arch=compute_60,code=sm_60 \