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[torch.compile] support all attention backends (#10558)

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Signed-off-by: youkaichao <youkaichao@gmail.com>
This commit is contained in:
youkaichao
2024-11-22 14:04:42 -08:00
committed by GitHub
parent db100c5cde
commit eebad39f26
77 changed files with 876 additions and 648 deletions
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9
vllm/model_executor/models/qwen2_moe.py
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@@ -168,6 +168,7 @@ class Qwen2MoeAttention(nn.Module):
max_position_embeddings: int = 8192,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
) -> None:
super().__init__()
self.hidden_size = hidden_size
@@ -220,7 +221,8 @@ class Qwen2MoeAttention(nn.Module):
self.scaling,
num_kv_heads=self.num_kv_heads,
cache_config=cache_config,
quant_config=quant_config)
quant_config=quant_config,
prefix=f"{prefix}.attn")
def forward(
self,
@@ -245,6 +247,7 @@ class Qwen2MoeDecoderLayer(nn.Module):
layer_idx: int,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
) -> None:
super().__init__()
self.hidden_size = config.hidden_size
@@ -261,6 +264,7 @@ class Qwen2MoeDecoderLayer(nn.Module):
max_position_embeddings=max_position_embeddings,
cache_config=cache_config,
quant_config=quant_config,
prefix=f"{prefix}.self_attn",
)
# Note: Qwen/Qwen2-57B-A14B-Instruct does not have
@@ -336,7 +340,8 @@ class Qwen2MoeModel(nn.Module):
layer_idx=int(
prefix.split(".")[-1]),
cache_config=cache_config,
quant_config=quant_config),
quant_config=quant_config,
prefix=prefix),
prefix=f"{prefix}.layers",
)
self.norm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps)