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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

[XPU][Triton]add xpu config in triton_reshape_and_cache_flash (#25643)

Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>

Kunshang Ji committed Sep 25, 2025 at 20:38 UTC d2af67441ddf5965aaebf129802a0a9d38f0e225
1 file changed +1 -1
vllm/attention/ops/triton_reshape_and_cache_flash.py
+1 -1
@@ -137,7 +137,7 @@ def triton_reshape_and_cache_flash(
137
138 # heuristics instead of autotuning
139 TILE_SIZE = min(2048, triton.next_power_of_2(n))
140 - if torch.version.hip:
140 + if torch.version.hip or torch.version.xpu:
141 num_stages = 4
142 num_warps = 8
143 else: # cuda