[FP8][Kernel] Dynamic kv cache scaling factors computation (#11906)
Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com> Co-authored-by: Micah Williamson <micah.williamson@amd.com>
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10
csrc/ops.h
10
csrc/ops.h
@@ -34,8 +34,9 @@ void paged_attention_v1(
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torch::Tensor& value_cache, int64_t num_kv_heads, double scale,
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torch::Tensor& block_tables, torch::Tensor& seq_lens, int64_t block_size,
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int64_t max_seq_len, const std::optional<torch::Tensor>& alibi_slopes,
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const std::string& kv_cache_dtype, double k_scale, double v_scale,
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const int64_t tp_rank, const int64_t blocksparse_local_blocks,
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const std::string& kv_cache_dtype, torch::Tensor& k_scale,
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torch::Tensor& v_scale, const int64_t tp_rank,
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const int64_t blocksparse_local_blocks,
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const int64_t blocksparse_vert_stride, const int64_t blocksparse_block_size,
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const int64_t blocksparse_head_sliding_step);
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@@ -45,8 +46,9 @@ void paged_attention_v2(
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torch::Tensor& value_cache, int64_t num_kv_heads, double scale,
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torch::Tensor& block_tables, torch::Tensor& seq_lens, int64_t block_size,
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int64_t max_seq_len, const std::optional<torch::Tensor>& alibi_slopes,
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const std::string& kv_cache_dtype, double k_scale, double v_scale,
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const int64_t tp_rank, const int64_t blocksparse_local_blocks,
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const std::string& kv_cache_dtype, torch::Tensor& k_scale,
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torch::Tensor& v_scale, const int64_t tp_rank,
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const int64_t blocksparse_local_blocks,
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const int64_t blocksparse_vert_stride, const int64_t blocksparse_block_size,
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const int64_t blocksparse_head_sliding_step);
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