Skip to content

fix use cache issue with OPT #3

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
susnato merged 1 commit into from
Sep 26, 2023
Merged

fix use cache issue with OPT #3

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 5 additions & 3 deletions src/transformers/models/opt/modeling_opt.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -317,7 +317,7 @@ def forward(
# for the decoder
is_cross_attention = key_value_states is not None

bsz, tgt_len, _ = hidden_states.size()
bsz, _, _ = hidden_states.size()

# get query proj
query_states = self.q_proj(hidden_states)
Expand Down Expand Up @@ -351,13 +351,15 @@ def forward(
# if encoder bi-directional self-attention `past_key_value` is always `None`
past_key_value = (key_states, value_states)

query_length = query_states.shape[1]
tgt_len = key_states.shape[-2]

# Flash attention requires the input to have the shape
# batch_size x seq_length x head_dim x hidden_dim
query_states = query_states.view(bsz, tgt_len, self.num_heads, self.head_dim)
query_states = query_states.view(bsz, query_length, self.num_heads, self.head_dim)
key_states = key_states.transpose(1, 2).view(bsz, tgt_len, self.num_heads, self.head_dim)
value_states = value_states.transpose(1, 2).view(bsz, tgt_len, self.num_heads, self.head_dim)

_, query_length, _, _ = query_states.shape

attn_dropout = self.dropout if self.training else 0.0

Expand Down