Cycles - Rendering on a Nvidia A100 crashes/fails on Google Colab
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Reference: blender/blender#91879
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System Information
Operating system:
NAME="Ubuntu"
VERSION="18.04.5 LTS (Bionic Beaver)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 18.04.5 LTS"
VERSION_ID="18.04"
Graphics card: Nvidia A100-SXM4-40GB
Blender Version
Blender 2.93.0-2.93.4, Blender 3.0.0
Worked: Blender 2.92.0
Short description of error
Blender is crashing and aborting the render with Cycles
Exact steps for others to reproduce the error
Open Google Colab
Try to get a A100
Run https://colab.research.google.com/gist/Raimund58/88061f785ea2563d345914d196c15b87/blender_script_for_google_colab_using_the_gpu.ipynb
It will crash
blender.crash_2.93.4.txt
Crashlog_2.93.4.txt
Crashlog_3.0.0.txt
CC @brecht @pmoursnv
Added subscribers: @pmoursnv, @brecht, @Raimund58
Cycles - Rendering on a Nvidia A100 fails on Google Colabto Cycles - Rendering on a Nvidia A100 crashes/fails on Google ColabSince Blender does not ship with pre-compiled kernels for A100, it falls back to the PTX one it ships with. But the PTX files that ship with Blender 2.93.4 and 3.0.0 were compiled with CUDA 11.4 (PTX version 7.4).
This requires a r470 driver or newer, older drivers are not able to interpret that PTX version and will fail to compile the kernels. You are running r460, which only supports up to PTX version 7.2, and therefore it fails (and Blender does not handle the error correctly it seems and just crashes shortly after).
Changed status from 'Needs Triage' to: 'Needs User Info'
Ah, I was not aware that upgrading the CUDA toolkit would affect driver compatibility this way. Not sure it's worth reverting to an older CUDA version for this case, I think mentioning it in the 2.93 release notes is enough.
@pmoursnv, can we improve the test here to give a better error message, and then backport that to 2.93?
@Raimund58, can you verify if upgrading the driver to 470 fixes the problem?
Sure, I can post a fix later today.
The driver reports
CUDA_ERROR_UNSUPPORTED_PTX_VERSION
(222), which is a more recent addition (was added in CUDA 11.1 as far as I can tell) and not currently in CUEW, hence the "Unknown CUDA error value" in the log.The crash is then happening because Cycles tries to call "cuOccupancyMaxPotentialBlockSize" with a NULL kernel function in "CUDADevice::load_functions" (since the module failed to load).
I am quite confused and I don't know if it is because Colab or if I am doing something wrong.
The system said that 470 is already installed, no? But why is nothing changing?
First try to update the driver:
Log1.txt
(Driver already up to date)
Second try to update the driver:
I followed this site: https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=18.04&target_type=deb_local
Log2.txt
(Still nothing changed)
What am I not seeing?
I'm not really familiar enough with Linux driver installation to be much help with that. Something is weird on the system though: The called nvidia-smi tool was installed by a r470 driver, but the actual driver running (as reported by nvidia-smi) is a r460 one ... As if both drivers are installed in parallel, but the r460 one is actually active. Wonder if one can force uninstall the old driver and then try to cleanly install r470 over it again.
Fix for the crash in 2.93 is here: https://developer.blender.org/P2478
Super simple, but I'm not sure about the process for backporting/committing stuff to 2.93 (or 2.83 for that matter, which suffers from the same bug)?
@Raimund58.: istalling the CUDA toolkit should not be needed, just the driver. Not sure what is going on with that driver though. Maybe needs a system restart or kernel module reload. If it takes a lot of time to investigate that it's probably not worth it just to confirm if this bug is fixed.
@pmoursnv: you can add it to the list in #88449 (Blender LTS: Maintenance Task 2.93) and #77348 (Blender LTS: Maintenance Task 2.83). Linking to the patch from there is fine, Jeroen should be able to commit that..
@brecht The Google Colab session can not rebooted afaik. So, no fix for me :/
Guess I have to wait for Google to update the driver.
I will come back in case I find a workaround.
This issue was referenced by
c11585a82f
@Raimund58 You could build Blender yourself with CUDA toolkit 11.2, that should give you PTX files that are compatible. Or build a Cubin for sm_80 directly (via
CYCLES_CUDA_BINARIES_ARCH
CMake variable), then the CUDA toolkit version should not matter.Blender doesn't ship with a Cubin for sm_80 by default since there are no consumer GPUs using that architecture.
@brecht I don't have permission to edit those lists, could you add this?:
c11585a82f
Added subscriber: @LazyDodo
@pmoursnv added you to the right groups, permissions should be ok now.
Thanks! Done.
Changed status from 'Needs User Info' to: 'Resolved'
I'll consider this resolved then.
This issue was referenced by
b382632665
This issue was referenced by
31dfdb6379