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Mojo function
selective_scan_update_cpu
selective_scan_update_cpu[kernel_dtype: DType, DSTATE: Int](batch: Int, dim: Int, group_size: Int, delta_softplus: Int8, state_out: TileTensor[kernel_dtype, address_space=state_out.address_space, linear_idx_type=state_out.linear_idx_type, element_size=state_out.element_size], output: TileTensor[kernel_dtype, address_space=output.address_space, linear_idx_type=output.linear_idx_type, element_size=output.element_size], state_in: TileTensor[kernel_dtype, address_space=state_in.address_space, linear_idx_type=state_in.linear_idx_type, element_size=state_in.element_size], x: TileTensor[kernel_dtype, address_space=x.address_space, linear_idx_type=x.linear_idx_type, element_size=x.element_size], dt: TileTensor[kernel_dtype, address_space=dt.address_space, linear_idx_type=dt.linear_idx_type, element_size=dt.element_size], A: TileTensor[kernel_dtype, address_space=A.address_space, linear_idx_type=A.linear_idx_type, element_size=A.element_size], B: TileTensor[kernel_dtype, address_space=B.address_space, linear_idx_type=B.linear_idx_type, element_size=B.element_size], C: TileTensor[kernel_dtype, address_space=C.address_space, linear_idx_type=C.linear_idx_type, element_size=C.element_size], D: TileTensor[kernel_dtype, address_space=D.address_space, linear_idx_type=D.linear_idx_type, element_size=D.element_size], z: TileTensor[kernel_dtype, address_space=z.address_space, linear_idx_type=z.linear_idx_type, element_size=z.element_size], dt_bias: TileTensor[kernel_dtype, address_space=dt_bias.address_space, linear_idx_type=dt_bias.linear_idx_type, element_size=dt_bias.element_size], state_out_strides: IndexList[3], output_strides: IndexList[2], state_in_strides: IndexList[3], x_strides: IndexList[2], dt_strides: IndexList[2], A_strides: IndexList[2], B_strides: IndexList[3], C_strides: IndexList[3], D_strides: IndexList[1], z_strides: IndexList[2], dt_bias_strides: IndexList[1], ctx: Optional[DeviceContext] = None)
CPU kernel for selective scan update (single step).
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