Create a fused LayerNorm + Linear + GELU operator for large batches.
Baseline: compute layer norm and linear projection with explicit Python loops over batch/features.
Optimized: use torch.layer_norm + torch.matmul with mixed-precision friendly settings, plus fused GELU.
Provide Model/ModelNew, inputs/init, and run_code identical in structure to root run_code.

