[sgl-kernel] support custom fp8 flashmla kernel (#13087)
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@@ -935,3 +935,21 @@ void FMHACutlassSM100FwdRun(
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std::vector<at::Tensor>
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sparse_prefill_fwd(const at::Tensor& q, const at::Tensor& kv, const at::Tensor& indices, double sm_scale, int64_t d_v);
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std::vector<at::Tensor> fwd_kvcache_mla_fp8(
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at::Tensor& q, // batch_size x seqlen_q x num_heads x head_size
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const at::Tensor& kcache, // num_blocks x page_block_size x num_heads_k x head_size (when is_fp8 is False) or
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// num_blocks x num_heads_k x (page_block_size*656) (when is_fp8 is True)
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const int64_t head_size_v,
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const at::Tensor& seqlens_k, // batch_size
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const at::Tensor& block_table, // batch_size x max_num_blocks_per_seq
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const double softmax_scale,
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bool is_causal,
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const at::Tensor& tile_scheduler_metadata, // num_sm_parts x TileSchedulerMetaDataSize
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const at::Tensor& num_splits, // batch_size + 1
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const std::optional<at::Tensor>& descale_q, // None or batch_size
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const std::optional<at::Tensor>& descale_k // None or batch_size
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);
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std::vector<at::Tensor> get_mla_decoding_metadata_dense_fp8(
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at::Tensor& seqlens_k, const int64_t num_heads_per_head_k, const int64_t num_heads_k);
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