Mojo function

k_matmul_ragged_paged

k_matmul_ragged_paged[type: DType, num_heads: Int, head_dim: Int, page_size: Int, //, target: StringSlice[StaticConstantOrigin]](hidden_state: NDBuffer[type, 2, origin, shape, strides], input_row_offsets: NDBuffer[uint32, 1, origin, shape, strides], weight: NDBuffer[type, 2, origin, shape, strides], kv_collection: PagedKVCacheCollection[type, KVCacheStaticParams(UInt(num_heads), UInt(head_dim)), page_size], layer_idx: SIMD[uint32, 1], ctx: DeviceContextPtr)

Performs a matmul, writing the output into a mutable PagedKVCacheCollection object.

Args:

hidden_state (NDBuffer[type, 2, origin, shape, strides]): Tensor with shape (sum(seq_lens), num_heads * head_size).
input_row_offsets (NDBuffer[uint32, 1, origin, shape, strides]): Tensor with shape (batch_size + 1,) denoting the start of each sequence along the seq_len dimension.
weight (NDBuffer[type, 2, origin, shape, strides]): Tensor with shape (num_heads * head_size, num_kv_heads * head_size).
kv_collection (PagedKVCacheCollection[type, KVCacheStaticParams(UInt(num_heads), UInt(head_dim)), page_size]): The historical KVCache for keys and values. The KVCache for this layer is retrieved via layer_idx.
layer_idx (SIMD[uint32, 1]): The index of the layer being executed. Used to retrieve the KVCache for the given layer from kv_collection.
ctx (DeviceContextPtr): The call context pointer, passed by the graph compiler.