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44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
"""Attention compute kernels (Triton): decode / extend / prefill / metadata.
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The Triton kernels migrated here live in this package
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(``sglang.kernels.ops.attention.<module>``); import them from there. Their
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``KernelSpec`` metadata is registered below for inventory (backend = Triton).
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KV-cache index/write kernels went to the ``kvcache`` group instead.
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"""
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from sglang.kernels.registry import register_kernel
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from sglang.kernels.spec import KernelBackend, KernelSpec
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# (module, public_fn) migrated from layers/attention/triton_ops + model_executor.
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_TRITON_KERNELS = [
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("decode_attention", "decode_attention_fwd"),
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("extend_attention", "extend_attention_fwd"),
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("extend_attention", "build_unified_kv_indices"),
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("prefill_attention", "context_attention_fwd"),
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("merge_state", "merge_state_triton"),
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("metadata", "get_num_kv_splits_triton"),
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("metadata", "prepare_swa_spec_page_table_triton"),
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("metadata", "normal_decode_set_metadata"),
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("dsa_metadata", "fused_dsa_decode_metadata"),
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("dsa_metadata", "fused_dsa_target_verify_metadata"),
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("dsa_metadata", "fused_dsa_draft_extend_metadata"),
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("rocm_mla_decode_rope", "decode_attention_fwd_grouped_rope"),
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("verify_splitkv", "verify_splitkv_fwd"),
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("pad", "pad_sequence_with_mask"),
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("pad", "pad_draft_extend_query"),
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("pad", "unpad_draft_extend_output"),
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("pad", "seqlens_expand_triton"),
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("position", "compute_position_triton"),
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]
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for _mod, _fn in _TRITON_KERNELS:
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register_kernel(
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KernelSpec(
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op=f"attention.{_fn}",
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backend=KernelBackend.TRITON,
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target=f"sglang.kernels.ops.attention.{_mod}:{_fn}",
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)
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)
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del _mod, _fn
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__all__ = []
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