flash-attention/csrc/flash_attn/src/alibi.h

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#include <cmath>
#include <cute/tensor.hpp>
#include <cutlass/cutlass.h>
#include <cutlass/array.h>
#include "utils.h"
namespace flash {
using namespace cute;
////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename Engine, typename Layout>
inline __device__ void apply_alibi(Tensor<Engine, Layout> &tensor,
const int col_idx_offset_,
const int max_seqlen_k,
const int row_idx_offset_,
const int max_seqlen_q,
const int warp_row_stride,
const int head_idx,
const float softmax_scale,
const float alibi_slope) {
// tensor has shape (ncol=(2, MMA_M), nrow=(2, MMA_N))
static_assert(Layout::rank == 2, "Only support 2D Tensor");
const int lane_id = threadIdx.x % 32;
const int row_idx_offset = row_idx_offset_;
const int col_idx_offset = col_idx_offset_ + (lane_id % 4) * 2;
const float alibi_slope_unscaled = alibi_slope / softmax_scale;
#pragma unroll
for (int mi = 0; mi < size<0, 1>(tensor); ++mi) {
const int row_idx_base = row_idx_offset + mi * warp_row_stride;
#pragma unroll
for (int i = 0; i < size<0, 0>(tensor); ++i) {
const int row_idx = row_idx_base + i * 8;
#pragma unroll
for (int nj = 0; nj < size<1, 1>(tensor); ++nj) {
const int col_idx_base = col_idx_offset + nj * 8;
#pragma unroll
for (int j = 0; j < size<1, 0>(tensor); ++j) {
const int col_idx = col_idx_base + j;
const float alibi = alibi_slope_unscaled * col_idx;
if (col_idx < max_seqlen_k && row_idx < max_seqlen_q) {
tensor(make_coord(i, mi), make_coord(j, nj)) += alibi;
}
}
}
}
}
}
} // namespace flash