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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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15
vllm/model_executor/models/arctic.py
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@@ -223,6 +223,7 @@ class ArcticAttention(nn.Module):
layer_idx: Optional[int] = None,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
):
super().__init__()
self.config = config
@@ -274,7 +275,8 @@ class ArcticAttention(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,
@@ -299,6 +301,7 @@ class ArcticDecoderLayer(nn.Module):
layer_idx: int,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
) -> None:
super().__init__()
self.layer_idx = layer_idx
@@ -308,7 +311,8 @@ class ArcticDecoderLayer(nn.Module):
self.self_attn = ArcticAttention(config,
layer_idx,
cache_config,
quant_config=quant_config)
quant_config=quant_config,
prefix=f"{prefix}.self_attn")
self.block_sparse_moe = ArcticMoE(
config,
layer_id=layer_idx,
@@ -380,8 +384,11 @@ class ArcticModel(nn.Module):
org_num_embeddings=self.vocab_size)
self.start_layer, self.end_layer, self.layers = make_layers(
config.num_hidden_layers,
lambda prefix: ArcticDecoderLayer(config, int(
prefix.split(".")[-1]), cache_config, quant_config),
lambda prefix: ArcticDecoderLayer(config,
int(prefix.split(".")[-1]),
cache_config,
quant_config,
prefix=prefix),
prefix=f"{prefix}.layers")
self._attn_implementation = config._attn_implementation
self.norm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps)