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Add pre-quantized activation support to MXFP8 grouped GEMM (_to_mxfp8_then_scaled_grouped_mm) #23057

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Add pre-quantized activation support to MXFP8 grouped GEMM (_to_mxfp8_then_scaled_grouped_mm)

Add pre-quantized activation support to MXFP8 grouped GEMM (_to_mxfp8_then_scaled_grouped_mm) #23057

Run time

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Job Run time
test-nightly (CPU Nightly, linux.4xlarge, --pre torch --index-url https://download.pytorch.org/wh... / linux-job
1h 25m 36s
test (CUDA 2.9, linux.g5.12xlarge.nvidia.gpu, torch==2.9.1, cuda, 12.6) / linux-job
1h 26m 22s
test (CPU 2.9, linux.4xlarge, torch==2.9.1 --index-url https://download.pytorch.org/whl/cpu, cpu) / linux-job
1h 4m 53s
test (CPU 2.8, linux.4xlarge, torch==2.8.0 --index-url https://download.pytorch.org/whl/cpu, cpu) / linux-job
58m 51s
test (CUDA 2.10, linux.g5.12xlarge.nvidia.gpu, torch==2.10.0, cuda, 12.6) / linux-job
2h 7m 59s
test-nightly (CUDA Nightly, linux.g5.12xlarge.nvidia.gpu, --pre torch --index-url https://downloa... / linux-job
2h 10m 48s
test (CPU 2.10, linux.4xlarge, torch==2.10.0 --index-url https://download.pytorch.org/whl/cpu, cpu) / linux-job
1h 30m 19s
test (CUDA 2.8, linux.g5.12xlarge.nvidia.gpu, torch==2.8.0, cuda, 12.6) / linux-job
1h 22m 43s
12h 7m 31s