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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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13
vllm/model_executor/models/jais.py
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@@ -76,6 +76,7 @@ class JAISAttention(nn.Module):
config: JAISConfig,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
):
super().__init__()
self.hidden_size = config.hidden_size
@@ -114,7 +115,8 @@ class JAISAttention(nn.Module):
scale=self.scale,
alibi_slopes=alibi_slopes,
cache_config=cache_config,
quant_config=quant_config)
quant_config=quant_config,
prefix=f"{prefix}.attn")
def forward(
self,
@@ -178,6 +180,7 @@ class JAISBlock(nn.Module):
config: JAISConfig,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
):
super().__init__()
hidden_size = config.hidden_size
@@ -185,7 +188,10 @@ class JAISBlock(nn.Module):
hidden_size)
self.ln_1 = nn.LayerNorm(hidden_size, eps=config.layer_norm_epsilon)
self.attn = JAISAttention(config, cache_config, quant_config)
self.attn = JAISAttention(config,
cache_config,
quant_config,
prefix=f"{prefix}.attn")
self.ln_2 = nn.LayerNorm(hidden_size, eps=config.layer_norm_epsilon)
self.mlp = JAISMLP(inner_dim, config, quant_config)
@@ -241,7 +247,8 @@ class JAISModel(nn.Module):
config.num_hidden_layers,
lambda prefix: JAISBlock(config=config,
cache_config=cache_config,
quant_config=quant_config),
quant_config=quant_config,
prefix=prefix),
prefix=f"{prefix}.h",
)