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chenpangpang
transformers
Commits
467164ea
Unverified
Commit
467164ea
authored
May 08, 2024
by
Raushan Turganbay
Committed by
GitHub
May 08, 2024
Browse files
Llava: remove dummy labels (#30706)
remove labels from llavas
parent
1872bde7
Changes
2
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4 deletions
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-4
src/transformers/models/llava/modeling_llava.py
src/transformers/models/llava/modeling_llava.py
+0
-2
src/transformers/models/vipllava/modeling_vipllava.py
src/transformers/models/vipllava/modeling_vipllava.py
+0
-2
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src/transformers/models/llava/modeling_llava.py
View file @
467164ea
...
@@ -442,8 +442,6 @@ class LlavaForConditionalGeneration(LlavaPreTrainedModel):
...
@@ -442,8 +442,6 @@ class LlavaForConditionalGeneration(LlavaPreTrainedModel):
inputs_embeds
,
attention_mask
,
labels
,
position_ids
=
self
.
_merge_input_ids_with_image_features
(
inputs_embeds
,
attention_mask
,
labels
,
position_ids
=
self
.
_merge_input_ids_with_image_features
(
image_features
,
inputs_embeds
,
input_ids
,
attention_mask
,
labels
image_features
,
inputs_embeds
,
input_ids
,
attention_mask
,
labels
)
)
if
labels
is
None
:
labels
=
torch
.
full_like
(
attention_mask
,
self
.
config
.
ignore_index
).
to
(
torch
.
long
)
# In case input_ids.shape[1] == 1 & pixel_values==None & past_key_values != None, we are in the case of
# In case input_ids.shape[1] == 1 & pixel_values==None & past_key_values != None, we are in the case of
# generation with cache
# generation with cache
...
...
src/transformers/models/vipllava/modeling_vipllava.py
View file @
467164ea
...
@@ -436,8 +436,6 @@ class VipLlavaForConditionalGeneration(VipLlavaPreTrainedModel):
...
@@ -436,8 +436,6 @@ class VipLlavaForConditionalGeneration(VipLlavaPreTrainedModel):
inputs_embeds
,
attention_mask
,
labels
,
position_ids
=
self
.
_merge_input_ids_with_image_features
(
inputs_embeds
,
attention_mask
,
labels
,
position_ids
=
self
.
_merge_input_ids_with_image_features
(
image_features
,
inputs_embeds
,
input_ids
,
attention_mask
,
labels
image_features
,
inputs_embeds
,
input_ids
,
attention_mask
,
labels
)
)
if
labels
is
None
:
labels
=
torch
.
full_like
(
attention_mask
,
self
.
config
.
ignore_index
).
to
(
torch
.
long
)
else
:
else
:
# In case input_ids.shape[1] == 1 & pixel_values==None & past_key_values != None, we are in the case of
# In case input_ids.shape[1] == 1 & pixel_values==None & past_key_values != None, we are in the case of
# generation with cache
# generation with cache
...
...
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