Description
Error verifying Inductor: torch._inductor.config.triton.autotune does not exist
Triton Information
What version of Triton are you using?
Triton: 3.7.1
Are you using the Triton container or did you build it yourself?
pre-compiled wheel
To Reproduce
Steps to reproduce the behavior.
install neoforge on stablematrix, be on this configuration:
Python: 3.12.12 (main, Feb 3 2026, 22:51:04) [Clang 21.1.4 ]
PyTorch: 2.12.1+cu130
CUDA : True
Version CUDA: 13.0
Backend cuDNN: 92000
GPU: NVIDIA GeForce RTX 5090,
install sageattn3, try to generate a image with 315 tokens on positive and 47 on negative prompts, and enable the max-autotune-no-cudagraphs and the following flags:
Launching Web UI with arguments: --pin-shared-memory --cuda-malloc --cuda-stream --skip-python-version-check --sage-function sageattn3 --expandable-segments --mmap-torch-files --gpu-only
Describe the models (framework, inputs, outputs), ideally include the model configuration file (if using an ensemble include the model configuration file for that as well).
waillustirousSDXL_v90.safetensors
Expected behavior
A clear and concise description of what you expected to happen.
should be able to compile the torch compile integrated and resolve the next prompts with speed.
Description
Error verifying Inductor: torch._inductor.config.triton.autotune does not exist
Triton Information
What version of Triton are you using?
Triton: 3.7.1
Are you using the Triton container or did you build it yourself?
pre-compiled wheel
To Reproduce
Steps to reproduce the behavior.
install neoforge on stablematrix, be on this configuration:
Python: 3.12.12 (main, Feb 3 2026, 22:51:04) [Clang 21.1.4 ]
PyTorch: 2.12.1+cu130
CUDA : True
Version CUDA: 13.0
Backend cuDNN: 92000
GPU: NVIDIA GeForce RTX 5090,
install sageattn3, try to generate a image with 315 tokens on positive and 47 on negative prompts, and enable the max-autotune-no-cudagraphs and the following flags:
Launching Web UI with arguments: --pin-shared-memory --cuda-malloc --cuda-stream --skip-python-version-check --sage-function sageattn3 --expandable-segments --mmap-torch-files --gpu-only
Describe the models (framework, inputs, outputs), ideally include the model configuration file (if using an ensemble include the model configuration file for that as well).
waillustirousSDXL_v90.safetensors
Expected behavior
A clear and concise description of what you expected to happen.
should be able to compile the torch compile integrated and resolve the next prompts with speed.