ClikaRT::ops::qk_rms_norm
function
qk_rms_norm()
std::array<Tensor 3> qk_rms_norm(
Tensor query,
OptionalTensor key = {},
OptionalTensor value = {},
OptionalTensor query_weight = {},
OptionalTensor key_weight = {},
std::int64_t head_dim = 0,
std::optional<double> eps = std::nullopt
)
Per-head RMS norm over packed attention projections: query, key and value in ONE call, no reshapes.
Each contiguous head_dim run of query (and key, when present) is its own normalization group: out = x / sqrt(mean(x^2) + eps) * w. value passes through untouched (it rides along so one call serves the projection triplet). Equivalent to reshaping [S, heads*head_dim] to [S, heads, head_dim], applying rms_norm, and reshaping back, with none of those steps.
Parameters
query: the query projection,[.., heads*head_dim].key: optional key projection, same trailing structure.value: optional value projection; passed through unchanged.query_weight: optional per-head gain forquery, shape[head_dim].key_weight: optional per-head gain forkey, shape[head_dim].head_dim: the per-head run length; must divide the trailing extent.eps: stability floor;std::nulloptselects 1e-5.
Returns: {q_normed, k_normed, v}; absent inputs come back absent.
Throws
ClikaRT::Error: (INVALID_ARGUMENT) whenhead_dimdoes not divide the trailing extent or a gain is mis-shaped.
Declared in ClikaRT/compute/ops.h, line 3556