[Misc][Model][Refactor] Pass the prefix into Linear layers (#28259)
Signed-off-by: MengqingCao <cmq0113@163.com>
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@@ -66,13 +66,22 @@ class Gemma2MLP(nn.Module):
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hidden_act: str,
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hidden_activation: str,
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quant_config: QuantizationConfig | None = None,
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prefix: str = "",
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) -> None:
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super().__init__()
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self.gate_up_proj = MergedColumnParallelLinear(
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hidden_size, [intermediate_size] * 2, bias=False, quant_config=quant_config
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hidden_size,
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[intermediate_size] * 2,
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bias=False,
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quant_config=quant_config,
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prefix=f"{prefix}.gate_up_proj",
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)
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self.down_proj = RowParallelLinear(
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intermediate_size, hidden_size, bias=False, quant_config=quant_config
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intermediate_size,
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hidden_size,
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bias=False,
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quant_config=quant_config,
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prefix=f"{prefix}.down_proj",
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)
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if not (hidden_act == hidden_activation == "gelu_pytorch_tanh"):
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raise ValueError(
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@@ -134,12 +143,14 @@ class Gemma2Attention(nn.Module):
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self.total_num_kv_heads,
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bias=config.attention_bias,
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quant_config=quant_config,
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prefix=f"{prefix}.qkv_proj",
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)
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self.o_proj = RowParallelLinear(
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self.total_num_heads * self.head_dim,
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hidden_size,
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bias=config.attention_bias,
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quant_config=quant_config,
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prefix=f"{prefix}.o_proj",
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)
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self.rotary_emb = get_rope(
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self.head_dim,
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@@ -208,6 +219,7 @@ class Gemma2DecoderLayer(nn.Module):
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hidden_act=config.hidden_act,
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hidden_activation=config.hidden_activation,
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quant_config=quant_config,
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prefix=f"{prefix}.mlp",
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)
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self.input_layernorm = GemmaRMSNorm(config.hidden_size, eps=config.rms_norm_eps)
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self.post_attention_layernorm = GemmaRMSNorm(
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