xformers无法显示 5090

PS E:\Ai\stable-diffusion-webui-forge> python -m venv venv
PS E:\Ai\stable-diffusion-webui-forge> ./venv/scripts/activate
(venv) PS E:\Ai\stable-diffusion-webui-forge> python -m xformers.info
A matching Triton is not available, some optimizations will not be enabled
Traceback (most recent call last):
File "E:\Ai\stable-diffusion-webui-forge\venv\Lib\site-packages\xformers\__init__.py", line 57, in _is_triton_available
import triton # noqa
^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'triton'
xFormers 0.0.31.dev1030
memory_efficient_attention.ckF: unavailable
memory_efficient_attention.ckB: unavailable
memory_efficient_attention.ck_decoderF: unavailable
memory_efficient_attention.ck_splitKF: unavailable
memory_efficient_attention.cutlassF-pt: available
memory_efficient_attention.cutlassB-pt: available
memory_efficient_attention.fa2F@2.7.4: available
memory_efficient_attention.fa2B@2.7.4: available
memory_efficient_attention.fa3F@0.0.0: unavailable
memory_efficient_attention.fa3B@0.0.0: unavailable
memory_efficient_attention.triton_splitKF: available
indexing.scaled_index_addF: unavailable
indexing.scaled_index_addB: unavailable
indexing.index_select: unavailable
sp24.sparse24_sparsify_both_ways: available
sp24.sparse24_apply: available
sp24.sparse24_apply_dense_output: available
sp24._sparse24_gemm: available
sp24._cslt_sparse_mm_search@0.0.0: available
sp24._cslt_sparse_mm@0.0.0: available
swiglu.dual_gemm_silu: available
swiglu.gemm_fused_operand_sum: available
swiglu.fused.p.cpp: available
is_triton_available: False
pytorch.version: 2.7.0+cu128
pytorch.cuda: available
gpu.compute_capability: 12.0
gpu.name: NVIDIA GeForce RTX 5090 Laptop GPU
dcgm_profiler: unavailable
build.info: available
build.cuda_version: 1206
build.hip_version: None
build.python_version: 3.11.9
build.torch_version: 2.7.0+cu126
build.env.TORCH_CUDA_ARCH_LIST: 6.0+PTX 7.0 7.5 8.0+PTX 9.0a
build.env.PYTORCH_ROCM_ARCH: None
build.env.XFORMERS_BUILD_TYPE: Release
build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS: None
build.env.NVCC_FLAGS: -allow-unsupported-compiler
build.env.XFORMERS_PACKAGE_FROM: wheel-main
build.nvcc_version: 12.6.85
source.privacy: open source
(venv) PS E:\Ai\stable-diffusion-webui-forge>

Start by reproducing the reported `python -m xformers.info` command in the shown Python 3.11 virtual environment and compare its xFormers, PyTorch, CUDA, and GPU capability output. Determine what “display 5090” should mean and identify the relevant compatibility or reporting entry point; the issue is done when RTX 5090 support is correctly reported or the limitation is clearly documented.

Written by the indexing model from the issue text.