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How to render scene with more than 10k spp? #1335
Comments
I tried again with |
You might want to consider to render an image in multiple loops using different seed.
|
Hi, thanks for the advice, I tried this but the memory is still increasing, so still, not working. Anyway, thanks! |
I'll close this for now, it seems to be a duplicate of #1353. The code that @andyyankai shared should work. Rendering in multiple passes does not increase memory usage. |
Summary
Hi, I am using python with mitsuba3, and I need to render a reference image with more than 10k spp, maybe 100k spp. However, with
mi.set_variant("cuda_ad_rgb")
and simply callingmi.render(scene=scene, spp=spp)
won't let me do it due to the limitations of MC samples,I tried to rewrite the render() and put a loop in it like simple.py, but I can only render 14777 spp at most, I think there might be some hardware limitations.
However, I think this task is a fundamental requirement, so is there anyway I can render for more than 10k spp?
System configuration
System information:
OS: windows
CPU: intel i9-13900H
GPU: RTX 4060 laptop
Python version: 3.9
CUDA version: 12.0
NVidia driver: 550.54.14
Dr.Jit version: 0.4.4
Mitsuba version: 3.5.0
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