[PieceWise CUDA Graph] Support awq/gptq model in piecewise cudagraph

[BBuf]

python3 -m sglang.launch_server --model-path Qwen/QwQ-32B-AWQ --tp 4 --host 0.0.0.0 --enable-piecewise-cuda-graph

100%|███████████████████████████████████████████████████████████████████████| 1319/1319 [00:45<00:00, 28.97it/s]
Accuracy: 0.680
Invalid: 0.000
Latency: 45.628 s
Output throughput: 9831.561 token/s

python3 -m sglang.launch_server --model-path Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 --tp 4 --host 0.0.0.0 --enable-piecewise-cuda-graph

100%|██████████████████████████████████████████████████████████████████████| 1319/1319 [00:09<00:00, 135.12it/s]
Accuracy: 0.733
Invalid: 0.005
Latency: 9.817 s
Output throughput: 17887.372 token/s

[Oasis-Git]

LGTM except some minor modification

[FlamingoPg]

@BBuf I see there are some fake registers in the code. Is this for torch compile?

[BBuf]

@BBuf I see there are some fake registers in the code. Is this for torch compile?

Right: register the quantized kernels for piecewise CUDA Graph compilation.

[ispobock]

Could you update the estimate time in the run_suite.py?