13ae3de69e
Three new CUDA kernels and one rewrite: - reshape_and_cache: scatter K/V into paged pool in a single kernel per layer, replacing the Rust-side per-token per-head cudaMemcpy loop. Includes both single-sequence (prefill) and batched (decode) variants. - argmax: GPU-side BF16 argmax with warp-shuffle reduction. Greedy decode now only D2H-transfers B×4 bytes (token ids) instead of the full [B, vocab] logits tensor. - GEMV rewrite: fused zero-init inside the K-split kernel eliminates the cudaMemsetAsync call, reducing launches from 3 to 2 per GEMV. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
28 lines
988 B
Rust
28 lines
988 B
Rust
pub mod activation;
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pub mod argmax;
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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 argmax::{argmax_bf16_single, argmax_bf16_to_host};
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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, reshape_and_cache_bf16, reshape_and_cache_batched_bf16};
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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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