Update modeling_phi.py
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@ -302,6 +302,9 @@ class PhiAttention(nn.Module):
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else:
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raise ValueError(f"Unknown RoPE scaling type {scaling_type}")
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# Phi-2 has an attention overflow issue (with FP16) and requires autocast to be disabled
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@torch.autocast("cpu", enabled=False)
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@torch.autocast("cuda", enabled=False)
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def forward(
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self,
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hidden_states: torch.Tensor,
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@ -359,10 +362,7 @@ class PhiAttention(nn.Module):
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key_states = repeat_kv(key_states, self.num_key_value_groups)
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value_states = repeat_kv(value_states, self.num_key_value_groups)
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# Queries and keys upcast to fp32 is required by Phi-2 to avoid overflow
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attn_weights = torch.matmul(
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query_states.to(torch.float32), key_states.to(torch.float32).transpose(2, 3)
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) / math.sqrt(self.head_dim)
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attn_weights = torch.matmul(query_states, key_states.transpose(2, 3)) / math.sqrt(self.head_dim)
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if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len):
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raise ValueError(
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