Upload RWForCausalLM
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@ -363,14 +363,12 @@ class DecoderLayer(nn.Module):
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super().__init__()
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hidden_size = config.hidden_size
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self.input_layernorm = LayerNorm(hidden_size, eps=config.layer_norm_epsilon)
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self.ln_attn = LayerNorm(hidden_size, eps=config.layer_norm_epsilon)
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self.ln_mlp = LayerNorm(hidden_size, eps=config.layer_norm_epsilon)
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self.num_heads = config.n_head
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self.self_attention = Attention(config)
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if not config.parallel_attn:
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# unused if parallel attn
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self.post_attention_layernorm = LayerNorm(hidden_size, eps=config.layer_norm_epsilon)
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self.mlp = MLP(config)
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self.apply_residual_connection_post_layernorm = config.apply_residual_connection_post_layernorm
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@ -389,12 +387,14 @@ class DecoderLayer(nn.Module):
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output_attentions: bool = False,
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):
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layernorm_output = self.input_layernorm(hidden_states)
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ln_attn = self.ln_attn(hidden_states)
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ln_mlp = self.ln_mlp(hidden_states)
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residual = hidden_states
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# Self attention.
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attn_outputs = self.self_attention(
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layernorm_output,
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ln_attn,
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layer_past=layer_past,
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attention_mask=attention_mask,
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alibi=alibi,
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@ -405,19 +405,14 @@ class DecoderLayer(nn.Module):
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attention_output = attn_outputs[0]
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if not self.config.parallel_attn:
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residual = dropout_add(attention_output, residual, self.config.attention_dropout, training=self.training)
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layernorm_output = self.post_attention_layernorm(residual)
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outputs = attn_outputs[1:]
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# MLP.
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mlp_output = self.mlp(layernorm_output)
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mlp_output = self.mlp(ln_mlp)
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if self.config.parallel_attn:
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mlp_output += attention_output
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output = dropout_add(mlp_output, residual, self.config.hidden_dropout, training=self.training)
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output = dropout_add(
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mlp_output + attention_output, residual, self.config.hidden_dropout, training=self.training
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)
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if use_cache:
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outputs = (output,) + outputs
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@ -1,365 +1,485 @@
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{
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|
||||
|
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