Xformers info , memory efficient atttention unavailable

### Describe the bug

I just started learning Stable Diffuision on Win11. After I installed xformers, I found several memory_efficient_attention string is unavailable. Is it possible to make them available? Thanks for any help.

### Reproduction

xFormers 0.0.28.post3
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@v2.6.3-24-gbdf733b: available
memory_efficient_attention.fa2B@v2.6.3-24-gbdf733b: 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: available
indexing.scaled_index_addB: available
indexing.index_select: available
sequence_parallel_fused.write_values: available
sequence_parallel_fused.wait_values: available
sequence_parallel_fused.cuda_memset_32b_async: available
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: True
pytorch.version: 2.5.1+cu124
pytorch.cuda: available
gpu.compute_capability: 8.9
gpu.name: NVIDIA GeForce RTX 4070
dcgm_profiler: unavailable
build.info: available
build.cuda_version: 1204
build.hip_version: None
build.python_version: 3.10.11
build.torch_version: 2.5.1+cu124
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-v0.0.28.post3
build.nvcc_version: 12.4.131
source.privacy: open source

### Logs

_No response_

### System Info

Win11, Python 3.10.6,pytorch 2.5.1+cu124, xFormers 0.0.28.post3, triton==3.0.0

### Who can help?

_No response_

Start by reproducing the xFormers availability report with the listed Windows, Python, PyTorch, xFormers, Triton, and GPU versions. Since no repository file or test is identified, inspect the integration points that report memory-efficient attention availability and determine whether the unavailable kernels are expected for this environment. Done means the cause and supported resolution are established, with a regression check or documentation change if appropriate.

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