Skip to content
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

[Mamba] from pretrained issue with self.embeddings #29851

Merged
merged 4 commits into from
Mar 28, 2024
Merged

[Mamba] from pretrained issue with self.embeddings #29851

Changes from 3 commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
994750c
nit
ArthurZucker Mar 25, 2024
e64ed09
update
ArthurZucker Mar 25, 2024
a33ba7e
oups
ArthurZucker Mar 25, 2024
f7c106d
Update src/transformers/models/mamba/modeling_mamba.py
ArthurZucker Mar 28, 2024
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
7 changes: 7 additions & 0 deletions src/transformers/models/mamba/modeling_mamba.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -501,8 +501,15 @@ def __init__(self, config):
self.gradient_checkpointing = False
self.norm_f = MambaRMSNorm(config.hidden_size, eps=config.layer_norm_epsilon)
# Initialize weights and apply final processing
self._register_load_state_dict_pre_hook(self.load_hook)
self.post_init()

def load_hook(self, state_dict, prefix, *args):
for k in state_dict:
if "embedding" in k:
ArthurZucker marked this conversation as resolved.
Show resolved Hide resolved
state_dict[k.replace("embedding.", "embeddings.")] = state_dict.pop(k)
break

def get_input_embeddings(self):
return self.embeddings

Expand Down
Loading