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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 6, 09:30 UTC

[Bug] Fix EmbedIOprocessor "classify" <-> "embed" (#37573)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

Wentao Ye committed Mar 19, 2026 at 19:40 UTC df3c0291a3d6aceb0e1393ab0bdbd16dec9f2081
1 file changed +1 -1
vllm/entrypoints/pooling/io_processor_factories.py
+1 -1
@@ -23,7 +23,7 @@ def init_pooling_io_processors(
23 if "embed" in supported_tasks:
24 from vllm.entrypoints.pooling.embed.io_processor import EmbedIOProcessor
25
26 - processors.append(("classify", EmbedIOProcessor))
26 + processors.append(("embed", EmbedIOProcessor))
27
28 return {
29 task: processor_cls(