Gahow Wang
4c3f914459
CUDA layer for the paged-KV + swap work: - csrc: new paged_attention.cu plus updates across attention/gemm/norm/ activation/embedding/reduce kernels and common.cuh. - xserv-kernels: new dispatch module and kernel-binding updates. - xserv-cuda: cudaMallocHost/FreeHost bindings + PinnedBuffer (host swap pool backing) and offset-aware D2H/H2D copies used to move KV blocks between the GPU pool and pinned host memory. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
26 lines
857 B
Rust
26 lines
857 B
Rust
pub mod activation;
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pub mod attention;
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pub mod dispatch;
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pub mod embedding;
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pub mod gemm;
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pub mod layernorm;
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pub mod rmsnorm;
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pub mod rope;
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pub mod softmax;
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pub mod transpose;
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pub use activation::{add, gelu, mul, scale, silu, silu_mul};
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pub use transpose::{merge_heads_gpu, repeat_kv_gpu, reshape_heads_gpu, strided_to_contiguous_gpu, transpose_for_rope_gpu, transpose_from_rope_gpu};
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pub use attention::{attention, decode_attention, flash_attention, paged_decode_attention};
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pub use embedding::embedding;
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pub use gemm::{batched_matmul, matmul, GemmBackend};
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pub use layernorm::layernorm;
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pub use rmsnorm::{add_rmsnorm, rmsnorm};
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pub use rope::{rope_inplace, RopeCache};
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pub use softmax::softmax;
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/// Register GPU kernels with the tensor crate. Call once at startup.
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pub fn init() {
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xserv_tensor::register_gpu_contiguous(strided_to_contiguous_gpu);
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}
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