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[clip] Prevent warning with padding when tokenizing for CLIP #2599

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Apr 17, 2024
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[clip] Prevent warning with padding when tokenizing for CLIP #2599

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18 changes: 10 additions & 8 deletions sentence_transformers/models/CLIPModel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,14 +63,16 @@ def tokenize(self, texts, padding: Union[str, bool] = True):
texts_values.append(data)
image_text_info.append(1)

if len(texts_values) == 0:
texts_values = None
if len(images) == 0:
images = None

inputs = self.processor(text=texts_values, images=images, return_tensors="pt", padding=padding)
inputs["image_text_info"] = image_text_info
return inputs
encoding = {}
if len(texts_values):
encoding = self.processor.tokenizer(texts_values, return_tensors="pt", padding=padding)

if len(images):
image_features = self.processor.image_processor(images, return_tensors="pt")
encoding["pixel_values"] = image_features.pixel_values

encoding["image_text_info"] = image_text_info
return encoding

def save(self, output_path: str):
self.model.save_pretrained(output_path)
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