423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-08-03 04:02:49 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix #3724

Browse Source 
Former-commit-id: 93a02454746bd39e8f284e94a18bead80f545dae
This commit is contained in:
hiyouga 2024-05-13 20:09:09 +08:00
parent 414049ba20
commit 68540734fb
1 changed files with 15 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
src/llmtuner/model/utils/longlora.py
View File

@ -41,9 +41,9 @@ def llama_attention_forward(
) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]:
bsz, q_len, _ = hidden_states.size() bsz, q_len, _ = hidden_states.size()
query_states = self.q_proj(hidden_states) query_states: "torch.Tensor" = self.q_proj(hidden_states)
key_states = self.k_proj(hidden_states) key_states: "torch.Tensor" = self.k_proj(hidden_states)
value_states = self.v_proj(hidden_states) value_states: "torch.Tensor" = self.v_proj(hidden_states)
query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2)
key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2)
@ -125,9 +125,9 @@ def llama_flash_attention_2_forward(
bsz, q_len, _ = hidden_states.size() bsz, q_len, _ = hidden_states.size()
query_states = self.q_proj(hidden_states) query_states: "torch.Tensor" = self.q_proj(hidden_states)
key_states = self.k_proj(hidden_states) key_states: "torch.Tensor" = self.k_proj(hidden_states)
value_states = self.v_proj(hidden_states) value_states: "torch.Tensor" = self.v_proj(hidden_states)
query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2)
key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2)
@ -233,9 +233,9 @@ def llama_sdpa_attention_forward(
bsz, q_len, _ = hidden_states.size() bsz, q_len, _ = hidden_states.size()
query_states = self.q_proj(hidden_states) query_states: "torch.Tensor" = self.q_proj(hidden_states)
key_states = self.k_proj(hidden_states) key_states: "torch.Tensor" = self.k_proj(hidden_states)
value_states = self.v_proj(hidden_states) value_states: "torch.Tensor" = self.v_proj(hidden_states)
query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2)
key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2)
@ -270,8 +270,9 @@ def llama_sdpa_attention_forward(
causal_mask = attention_mask causal_mask = attention_mask
if attention_mask is not None: if attention_mask is not None:
causal_mask = causal_mask[:, :, :, :groupsz] causal_mask = causal_mask[:, :, :, : key_states.shape[-2]]
if query_states.device.type == "cuda" and causal_mask is not None:
query_states = query_states.contiguous() query_states = query_states.contiguous()
key_states = key_states.contiguous() key_states = key_states.contiguous()
value_states = value_states.contiguous() value_states = value_states.contiguous()