Repository: open-compass/VLMEvalKit
Issue: error when eval MiniCPM_Llama3_V2.5 on MMMU_TEST
Root cause: Validation Gap

```
CUDA_VISIBLE_DEVICES=2 python run.py --data MMMU_TEST --model MiniCPM-Llama3-V-2_5 --verbose
Did not detect the .env file at /data/mm/VLMEvalKit/.env, failed to load.
Did not detect the .env file at /data/mm/VLMEvalKit/.env, failed to load.
load from /home/models/MiniCPM-Llama3-V-2_5
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:03<00:00,  2.16it/s]
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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  0%|▏                                                                                                                                                               | 9/8260 [00:08<1:24:40,  1.62it/s]Token indices sequence length is longer than the specified maximum sequence length for this model (2544 > 2048). Running this sequence through the model will result in indexing errors
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Traceback (most recent call last):
  File "/data/mm/VLMEvalKit/run.py", line 195, in <module>
    main()
  File "/data/mm/VLMEvalKit/run.py", line 109, in main
    model = infer_data_job(
            ^^^^^^^^^^^^^^^
  File "/data/mm/VLMEvalKit/vlmeval/inference.py", line 164, in infer_data_job
    model = infer_data(
            ^^^^^^^^^^^
  File "/data/mm/VLMEvalKit/vlmeval/inference.py", line 130, in infer_data
    response = model.generate(message=struct, dataset=dataset_name)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/mm/VLMEvalKit/vlmeval/vlm/base.py", line 140, in generate
    return self.generate_inner(message, dataset)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/mm/VLMEvalKit/vlmeval/vlm/minicpm_v.py", line 206, in generate_inner
    res = self.model.chat(
          ^^^^^^^^^^^^^^^^
  File "/root/.cache/huggingface/modules/transformers_modules/MiniCPM-Llama3-V-2_5/modeling_minicpmv.py", line 416, in chat
    res, vision_hidden_states = self.generate(
                                ^^^^^^^^^^^^^^
  File "/root/.cache/huggingface/modules/transformers_modules/MiniCPM-Llama3-V-2_5/modeling_minicpmv.py", line 305, in generate
    model_inputs = self._process_list(tokenizer, input_id_list, max_inp_length)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/.cache/huggingface/modules/transformers_modules/MiniCPM-Llama3-V-2_5/modeling_minicpmv.py", line 200, in _process_list
    self._convert_to_tensors(tokenizer, input_ids, max_inp_length)
  File "/root/.cache/huggingface/modules/transformers_modules/MiniCPM-Llama3-V-2_5/modeling_minicpmv.py", line 180, in _convert_to_tensors
    image_bound = torch.hstack(
                  ^^^^^^^^^^^^^
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 21 but got size 20 for tensor number 1 in the list.

```

The problem appears to be caused by the MiniCPM-Llama3-V-2_5 model.

The problem has already been fixed now. 

I am also facing the same issue with MMMU_TEST on MiniCPM_Llama3_V2.5. Pulled the latest code but giving the same error