deprecations scheduled for v4.50

src/transformers/models/blip_2/modeling_blip_2.py

@@ -2196,7 +2196,7 @@ def forward(
             logger.warning_once(
                 "Expanding inputs for image tokens in BLIP-2 should be done in processing. "
                 "Please follow instruction here (https://gist.github.com/zucchini-nlp/e9f20b054fa322f84ac9311d9ab67042) to update your BLIP-2 model. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             inputs_embeds = torch.cat([language_model_inputs, inputs_embeds.to(language_model_inputs.device)], dim=1)
             attention_mask = torch.cat(
@@ -2318,7 +2318,7 @@ def generate(
             logger.warning_once(
                 "Expanding inputs for image tokens in BLIP-2 should be done in processing. "
                 "Please follow instruction here (https://gist.github.com/zucchini-nlp/e9f20b054fa322f84ac9311d9ab67042) to update your BLIP-2 model. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             inputs_embeds = torch.cat([language_model_inputs, inputs_embeds.to(language_model_inputs.device)], dim=1)
             attention_mask = torch.cat(

src/transformers/models/blip_2/processing_blip_2.py

@@ -150,7 +150,7 @@ def __call__(
                 logger.warning_once(
                     "Expanding inputs for image tokens in BLIP-2 should be done in processing. "
                     "Please follow instruction here (https://gist.github.com/zucchini-nlp/e9f20b054fa322f84ac9311d9ab67042) to update your BLIP-2 model. "
-                    "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                    "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
                 )
 
             # cast to desired return tensors type

src/transformers/models/instructblip/modeling_instructblip.py

@@ -1471,7 +1471,7 @@ def forward(
             logger.warning_once(
                 "Expanding inputs for image tokens in InstructBLIP should be done in processing. "
                 "Please follow instruction here (https://gist.github.com/zucchini-nlp/e9f20b054fa322f84ac9311d9ab67042) to update your InstructBLIP model. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             inputs_embeds = torch.cat([language_model_inputs, inputs_embeds.to(language_model_inputs.device)], dim=1)
             attention_mask = torch.cat(
@@ -1610,7 +1610,7 @@ def generate(
             logger.warning_once(
                 "Expanding inputs for image tokens in InstructBLIP should be done in processing. "
                 "Please follow instruction here (https://gist.github.com/zucchini-nlp/e9f20b054fa322f84ac9311d9ab67042) to update your InstructBLIP model. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             inputs_embeds = torch.cat([language_model_inputs, inputs_embeds.to(language_model_inputs.device)], dim=1)
             attention_mask = torch.cat(

src/transformers/models/instructblip/processing_instructblip.py

@@ -145,7 +145,7 @@ def __call__(
                     logger.warning_once(
                         "Expanding inputs for image tokens in InstructBLIP should be done in processing. "
                         "Please follow instruction here (https://gist.github.com/zucchini-nlp/e9f20b054fa322f84ac9311d9ab67042) to update your InstructBLIP model. "
-                        "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                        "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
                     )
 
             # cast to desired return tensors type after concatenating

src/transformers/models/llava/modeling_llava.py

@@ -485,7 +485,7 @@ def forward(
                 "Expanding inputs for image tokens in LLaVa should be done in processing. "
                 "Please add `patch_size` and `vision_feature_select_strategy` to the model's processing config or set directly "
                 "with `processor.patch_size = {{patch_size}}` and processor.vision_feature_select_strategy = {{vision_feature_select_strategy}}`. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             # prefill stage vs decoding stage (legacy behavior copied)
             if input_ids.shape[1] != 1:

src/transformers/models/llava/processing_llava.py

@@ -160,7 +160,7 @@ def __call__(
                     "Expanding inputs for image tokens in LLaVa should be done in processing. "
                     "Please add `patch_size` and `vision_feature_select_strategy` to the model's processing config or set directly "
                     "with `processor.patch_size = {{patch_size}}` and processor.vision_feature_select_strategy = {{vision_feature_select_strategy}}`. "
-                    "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                    "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
                 )
 
         text_inputs = self.tokenizer(prompt_strings, **output_kwargs["text_kwargs"])

src/transformers/models/llava_next/modeling_llava_next.py

@@ -868,7 +868,7 @@ def forward(
                 "Expanding inputs for image tokens in LLaVa-NeXT should be done in processing. "
                 "Please add `patch_size` and `vision_feature_select_strategy` to the model's processing config or set directly "
                 "with `processor.patch_size = {{patch_size}}` and processor.vision_feature_select_strategy = {{vision_feature_select_strategy}}`. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             if input_ids.shape[1] != 1:
                 inputs_embeds = inputs_embeds.to(image_features.dtype)

src/transformers/models/llava_next/processing_llava_next.py

@@ -143,7 +143,7 @@ def __call__(
                     "Expanding inputs for image tokens in LLaVa-NeXT should be done in processing. "
                     "Please add `patch_size` and `vision_feature_select_strategy` to the model's processing config or set directly "
                     "with `processor.patch_size = {{patch_size}}` and processor.vision_feature_select_strategy = {{vision_feature_select_strategy}}`. "
-                    "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                    "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
                 )
             else:
                 image_sizes = iter(image_inputs["image_sizes"])

src/transformers/models/video_llava/modeling_video_llava.py

@@ -577,7 +577,7 @@ def forward(
                 "Expanding inputs for image tokens in Video-LLaVa should be done in processing. "
                 "Please add `patch_size` and `vision_feature_select_strategy` to the model's processing config or set directly "
                 "with `processor.patch_size = {{patch_size}}` and processor.vision_feature_select_strategy = {{vision_feature_select_strategy}}`. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             if input_ids.shape[1] != 1:
                 for features, frames in ((image_features, 1), (video_features, num_frames)):

src/transformers/models/vipllava/modeling_vipllava.py

@@ -476,7 +476,7 @@ def forward(
             logger.warning_once(
                 "Expanding inputs for image tokens in VipLLaVa should be done in processing. "
                 "Please add `patch_size` and `vision_feature_select_strategy` to the model's image processing config. "
-                "Using processors without these attributes in the config is deprecated and will throw an error in v4.47."
+                "Using processors without these attributes in the config is deprecated and will throw an error in v4.50."
             )
             # prefill stage vs decoding stage (legacy behavior copied)
             if input_ids.shape[1] != 1: