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Mojo function

ssd_combined_gpu

def ssd_combined_gpu[kernel_dtype: DType, DSTATE: Int, output_LT: TensorLayout, x_LT: TensorLayout, out_z_LT: TensorLayout, residual_LT: TensorLayout, u_LT: TensorLayout, delta_LT: TensorLayout, A_LT: TensorLayout, B_LT: TensorLayout, C_LT: TensorLayout, D_LT: TensorLayout, z_LT: TensorLayout, delta_bias_LT: TensorLayout, gamma_LT: TensorLayout](total_batch_dim: Int, batch: Int, dim: Int, seqlen: Int, group_size: Int, delta_softplus: Int8, output: TileTensor[kernel_dtype, output_LT, MutAnyOrigin], x: TileTensor[kernel_dtype, x_LT, MutAnyOrigin], out_z: TileTensor[kernel_dtype, out_z_LT, MutAnyOrigin], residual: TileTensor[kernel_dtype, residual_LT, MutAnyOrigin], u: TileTensor[kernel_dtype, u_LT, MutAnyOrigin], delta: TileTensor[kernel_dtype, delta_LT, MutAnyOrigin], A: TileTensor[kernel_dtype, A_LT, MutAnyOrigin], B: TileTensor[kernel_dtype, B_LT, MutAnyOrigin], C: TileTensor[kernel_dtype, C_LT, MutAnyOrigin], D: TileTensor[kernel_dtype, D_LT, MutAnyOrigin], z: TileTensor[kernel_dtype, z_LT, MutAnyOrigin], delta_bias: TileTensor[kernel_dtype, delta_bias_LT, MutAnyOrigin], gamma: TileTensor[kernel_dtype, gamma_LT, MutAnyOrigin], epsilon: Scalar[kernel_dtype], weight_offset: Scalar[kernel_dtype])

GPU kernel for SSD combined operation.

Combines selective scan with normalization and residual connection. Performs: norm(residual + selective_scan(input))