[Docs] add __init__.py to...

[Docs] add __init__.py to vllm/model_executor/layers/quantization/compressed_tensors/transform (#24974)
Signed-off-by: samzong <samzong.lu@gmail.com>

vllm/model_executor/models/blip2.py

@@ -680,7 +680,7 @@ class Blip2ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP,
                 batch.
         
         Info:
-            [Blip2ImageInputs][]
+            [`Blip2ImageInputs`][vllm.model_executor.models.blip2.Blip2ImageInputs]
         """
 
         if intermediate_tensors is not None:

vllm/model_executor/models/llava.py

@@ -737,7 +737,7 @@ class LlavaForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP):
             inputs_embeds: Optional tensor of input embeddings.
 
         Info:
-            [LlavaImageInputs][]
+            [`LlavaImageInputs`][vllm.model_executor.models.llava.LlavaImageInputs]
         """
         if intermediate_tensors is not None:
             inputs_embeds = None

vllm/model_executor/models/llava_next.py

@@ -527,7 +527,8 @@ class LlavaNextForConditionalGeneration(nn.Module, SupportsMultiModal,
         Unlike in LLaVA-1.5, the number of image tokens inputted to the language
         model depends on the original size of the input image. Including the
         original image token in the input, the required number of image tokens
-        is given by [get_llava_next_image_feature_size][].
+        is given by [`LlavaNextProcessingInfo.get_num_image_tokens`][vllm.\
+model_executor.models.llava_next.LlavaNextProcessingInfo.get_num_image_tokens].
 
         This way, the `positions` and `attn_metadata` are consistent
         with the `input_ids`.
@@ -540,7 +541,7 @@ class LlavaNextForConditionalGeneration(nn.Module, SupportsMultiModal,
             inputs_embeds: Optional tensor of input embeddings.
 
         Info:
-            [LlavaNextImageInputs][]
+            [`LlavaNextImageInputs`][vllm.model_executor.models.llava_next.LlavaNextImageInputs]
         """
         if intermediate_tensors is not None:
             inputs_embeds = None