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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 15, 17:15 UTC

[Model] Adding torch compile annotations to chatglm (#15624)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

Jee Jee Li committed Mar 28, 2025 at 21:14 UTC 91276c57210b36997861af706a48ac784573ed4c
1 file changed +2
vllm/model_executor/models/chatglm.py
+2
@@ -10,6 +10,7 @@ from torch import nn
10 from torch.nn import LayerNorm
11
12 from vllm.attention import Attention
13 +from vllm.compilation.decorators import support_torch_compile
14 from vllm.config import CacheConfig, VllmConfig
15 from vllm.distributed import get_pp_group, get_tensor_model_parallel_world_size
16 from vllm.model_executor.layers.activation import SiluAndMul
@@ -293,6 +294,7 @@ class GLMTransformer(nn.Module):
294 return hidden_states
295
296
297 +@support_torch_compile
298 class ChatGLMModel(nn.Module):
299
300 def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):