[refactor] slightly tidy fp8 module (#5993)

python/sglang/srt/layers/quantization/utils.py

@@ -14,11 +14,6 @@ if not _is_cuda:
     from vllm._custom_ops import scaled_fp8_quant
 
 
-def is_fp8_fnuz() -> bool:
-    # only device 0 is checked, this assumes MI300 platforms are homogeneous
-    return "gfx94" in torch.cuda.get_device_properties(0).gcnArchName
-
-
 def is_layer_skipped(
     prefix: str,
     ignored_layers: List[str],