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chore: update lock file #95

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chore: update lock file #95

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4006f5a
update lock file
dolfim-ibm Apr 23, 2025
576a55e
update minimum py version and repin for cryptography
dolfim-ibm Apr 23, 2025
a6a383a
type ignores for mypy on transformers models
dolfim-ibm Apr 23, 2025
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12 changes: 6 additions & 6 deletions docling_ibm_models/code_formula_model/models/sam_opt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -82,10 +82,10 @@ def forward(
inputs_embeds = self.embed_tokens(input_ids)

vision_tower = getattr(self, "vision_tower", None)
im_start_token = getattr(self.config, "im_start_token", -1)
im_start_token = getattr(self.config, "im_start_token", -1) # type: ignore

if input_ids.shape[1] != 1 or self.training:
with torch.set_grad_enabled(self.training):
if input_ids.shape[1] != 1 or self.training: # type: ignore
with torch.set_grad_enabled(self.training): # type: ignore
assert vision_tower is not None
image_features = vision_tower(images)
image_features = image_features.flatten(2).permute(0, 2, 1)
Expand Down Expand Up @@ -118,7 +118,7 @@ def forward(

inputs_embeds = torch.stack(new_input_embeds, dim=0) # type: ignore

return super(SamOPTModel, self).forward(
return super(SamOPTModel, self).forward( # type: ignore
input_ids=None,
attention_mask=attention_mask,
past_key_values=past_key_values,
Expand Down Expand Up @@ -165,12 +165,12 @@ def forward(
output_attentions = (
output_attentions
if output_attentions is not None
else self.config.output_attentions
else self.config.output_attentions # type: ignore
)
output_hidden_states = (
output_hidden_states
if output_hidden_states is not None
else self.config.output_hidden_states
else self.config.output_hidden_states # type: ignore
)

outputs = self.model(
Expand Down
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