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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

[Compressed Tensors] Always clone output for compile robustness (#26849)

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com> Co-authored-by: Michael Goin <mgoin64@gmail.com>

Kyle Sayers committed Oct 16, 2025 at 15:29 UTC a5464dcf92bba8dfd052fc79bfc40e08aee515d9
1 file changed +1 -1
vllm/model_executor/layers/quantization/compressed_tensors/transform/linear.py
+1 -1
@@ -163,7 +163,7 @@ class CompressedTensorsLinearTransformMethod(LinearMethodBase):
163 if self.output_transform is not None:
164 for part_id, (start, length) in enumerate(self.partition_ranges):
165 x[:, start : start + length] = self.output_transform(
166 - x[:, start : start + length].contiguous(), part_id=part_id
166 + x[:, start : start + length].clone(), part_id=part_id
167 )
168
169 return x