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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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16
vllm/model_executor/models/olmo.py
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@@ -62,6 +62,7 @@ class OlmoAttention(nn.Module):
config: OlmoConfig,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
):
super().__init__()
self.config = config
@@ -101,7 +102,8 @@ class OlmoAttention(nn.Module):
self.head_dim,
scale=self.scaling,
cache_config=cache_config,
quant_config=quant_config)
quant_config=quant_config,
prefix=f"{prefix}.attn")
# Attention output projection.
self.o_proj = RowParallelLinear(
@@ -184,10 +186,14 @@ class OlmoDecoderLayer(nn.Module):
def __init__(self,
config: OlmoConfig,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None):
quant_config: Optional[QuantizationConfig] = None,
prefix: str = ""):
super().__init__()
# Attention block.
self.self_attn = OlmoAttention(config, cache_config, quant_config)
self.self_attn = OlmoAttention(config,
cache_config,
quant_config,
prefix=f"{prefix}.self_attn")
# MLP block.
self.mlp = OlmoMLP(config, quant_config)
@@ -238,8 +244,8 @@ class OlmoModel(nn.Module):
config.hidden_size)
self.start_layer, self.end_layer, self.layers = make_layers(
config.num_hidden_layers,
lambda prefix: OlmoDecoderLayer(config, cache_config, quant_config
),
lambda prefix: OlmoDecoderLayer(
config, cache_config, quant_config, prefix=prefix),
prefix=f"{prefix}.layers")
self.norm = nn.LayerNorm(config.hidden_size,
elementwise_affine=False,