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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 14, 05:30 UTC

[Benchmarks] Fix imports in FP8 tuning script (#26407)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>

Lukas Geiger committed Oct 8, 2025 at 17:31 UTC 6273fe8d3d72d26b7a60e0d60d5c378273156e9e
1 file changed +2 -2
benchmarks/kernels/benchmark_w8a8_block_fp8.py
+2 -2
@@ -14,7 +14,7 @@ import torch
14 from tqdm import tqdm
15
16 from vllm.model_executor.layers.quantization.utils.fp8_utils import (
17 - _w8a8_block_fp8_matmul,
17 + _w8a8_triton_block_scaled_mm,
18 )
19 from vllm.platforms import current_platform
20 from vllm.triton_utils import triton
@@ -83,7 +83,7 @@ def w8a8_block_matmul(
83 )
84
85 if A.dtype == torch.float8_e4m3fn:
86 - kernel = _w8a8_block_fp8_matmul
86 + kernel = _w8a8_triton_block_scaled_mm
87 else:
88 raise RuntimeError("Currently, only support tune w8a8 block fp8 kernel.")
89