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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/starcoder2.py
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@@ -52,7 +52,8 @@ class Starcoder2Attention(nn.Module):
def __init__(self,
config: Starcoder2Config,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None):
quant_config: Optional[QuantizationConfig] = None,
prefix: str = ""):
super().__init__()
self.config = config
@@ -105,7 +106,8 @@ class Starcoder2Attention(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,
@@ -154,12 +156,14 @@ class Starcoder2DecoderLayer(nn.Module):
def __init__(self,
config: Starcoder2Config,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None):
quant_config: Optional[QuantizationConfig] = None,
prefix: str = ""):
super().__init__()
self.hidden_size = config.hidden_size
self.self_attn = Starcoder2Attention(config,
cache_config,
quant_config=quant_config)
quant_config=quant_config,
prefix=f"{prefix}.self_attn")
self.mlp = Starcoder2MLP(config, quant_config=quant_config)
self.input_layernorm = nn.LayerNorm(config.hidden_size,
eps=config.norm_epsilon)
@@ -213,7 +217,8 @@ class Starcoder2Model(nn.Module):
self.start_layer, self.end_layer, self.layers = make_layers(
config.num_hidden_layers,
lambda prefix: Starcoder2DecoderLayer(
config, cache_config, quant_config=quant_config),
config, cache_config, quant_config=quant_config, prefix=prefix
),
prefix=f"{prefix}.layers",
)
self.norm = nn.LayerNorm(config.hidden_size, eps=config.norm_epsilon)