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Fuse SwiGLU and FP8 quantization in the Hopper GLM expanded-MoE prefill path, preserving main's UE8M0 scales and intermediate rounding. Unsupported shapes, UE8M0-off execution and autotuner warmup retain the existing path.
Validation against main dc53088 on H100: 238 GPU tests pass; seven real-expert consumer cases are byte-exact, including a 32K chunk plus a fallback tail. With main's default kernel configs, the expert consumer is 1.22–1.26x faster at 896–32768 expanded rows (W13, activation/quantization, W2 and gather; excludes DeepEP communication).