Update modeling_minicpmv.py

modeling_minicpmv.py

@@ -280,6 +280,8 @@ class MiniCPMV(MiniCPMVPreTrainedModel):
         padded_tensors = [torch.nn.functional.pad(tensor, (0, max_length - tensor.shape[1])) for tensor in batch]
         
         # Step 3: Stack the padded tensors into a single batch
+        for stuff in batch:
+            print(stuff.shape, "SHAPE")
         batch = torch.cat(padded_tensors, dim=0)
         
         # output_ids = self._decode(input_embeds, tokenizer, **kwargs)