kernels/cuda: paged-attention kernel, dispatch, pinned host memory

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>
This commit is contained in:
2026-05-28 19:58:36 +08:00
parent 3f1c3d429a
commit 4c3f914459
27 changed files with 581 additions and 32 deletions

View File

@@ -1,4 +1,5 @@
#include <cuda_bf16.h>
#include "../common.cuh"
// Apply causal mask: set scores[row][col] = -inf where col > row + offset.
// offset is used for KV cache: when query starts at position `offset`,
@@ -39,6 +40,7 @@ void launch_causal_mask_f32(void* scores, int batch, int rows, int cols,
dim3 grid((cols + block - 1) / block, rows, batch);
causal_mask_f32<<<grid, block, 0, (cudaStream_t)stream>>>(
(float*)scores, rows, cols, offset);
CUDA_CHECK_LAST_ERROR();
}
void launch_causal_mask_bf16(void* scores, int batch, int rows, int cols,
@@ -47,6 +49,7 @@ void launch_causal_mask_bf16(void* scores, int batch, int rows, int cols,
dim3 grid((cols + block - 1) / block, rows, batch);
causal_mask_bf16<<<grid, block, 0, (cudaStream_t)stream>>>(
(__nv_bfloat16*)scores, rows, cols, offset);
CUDA_CHECK_LAST_ERROR();
}
}