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kernels-staging/
msa

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This is the repository card of kernels-community/msa that has been pushed on the Hub. It was built to be used with the kernels library. This card was automatically generated.

How to use

python

# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel

kernel_module = get_kernel("kernels-community/msa", version=0)
sparse_atten_func = kernel_module.sparse_atten_func

sparse_atten_func(...)

Available functions

sparse_atten_func
sparse_atten_nvfp4_kv_func
sparse_decode_atten_func
SparseDecodePagedAttentionWrapper
fp4_indexer_block_scores
build_k2q_csr
SparseK2qCsrBuilderSm100
Nvfp4QuantizedTensor
quantize_bf16_to_nvfp4_128x4
quantize_kv_bf16_to_nvfp4_128x4
dequantize_nvfp4_128x4_to_bf16
swizzle_nvfp4_scale_to_128x4
nvfp4_global_scale_from_amax

Benchmarks

No benchmark available yet.

Source code

Source code of this kernel originally comes from https://github.com/MiniMax-AI/MSA and it was repurposed for compatibility with kernels.

kernels-staging/msa

How to use

Available functions

Benchmarks

Source code

kernels-staging/
msa