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

[FA-2] Revert suggestion that broke FA2 fine-tuning with quantized models #26916

Merged
merged 1 commit into from
Oct 18, 2023
Merged

[FA-2] Revert suggestion that broke FA2 fine-tuning with quantized models #26916

Show file tree
Hide file tree
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
5 changes: 4 additions & 1 deletion src/transformers/models/falcon/modeling_falcon.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -614,7 +614,10 @@ def forward(
input_dtype = query_layer.dtype
if input_dtype == torch.float32:
# Handle the case where the model is quantized
target_dtype = getattr(self.config, "_pre_quantization_dtype", self.query_key_value.weight.dtype)
if hasattr(self.config, "_pre_quantization_dtype"):
target_dtype = self.config._pre_quantization_dtype
else:
target_dtype = self.query_key_value.weight.dtype

logger.warning_once(
f"The input hidden states seems to be silently casted in float32, this might be related to"
Expand Down
5 changes: 4 additions & 1 deletion src/transformers/models/llama/modeling_llama.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -476,7 +476,10 @@ def forward(
input_dtype = query_states.dtype
if input_dtype == torch.float32:
# Handle the case where the model is quantized
target_dtype = getattr(self.config, "_pre_quantization_dtype", self.q_proj.weight.dtype)
if hasattr(self.config, "_pre_quantization_dtype"):
target_dtype = self.config._pre_quantization_dtype
else:
target_dtype = self.q_proj.weight.dtype

logger.warning_once(
f"The input hidden states seems to be silently casted in float32, this might be related to"
Expand Down
5 changes: 4 additions & 1 deletion src/transformers/models/mistral/modeling_mistral.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -409,7 +409,10 @@ def forward(
input_dtype = query_states.dtype
if input_dtype == torch.float32:
# Handle the case where the model is quantized
target_dtype = getattr(self.config, "_pre_quantization_dtype", self.q_proj.weight.dtype)
if hasattr(self.config, "_pre_quantization_dtype"):
target_dtype = self.config._pre_quantization_dtype
else:
target_dtype = self.q_proj.weight.dtype

logger.warning_once(
f"The input hidden states seems to be silently casted in float32, this might be related to"
Expand Down
Loading