ldyang694 / transformers_jittor Goto Github PK

        r"""
        Returns:

        Examples:

        ```python
        >>> from PIL import Image
        >>> import requests
        >>> from transformers import AutoProcessor, BlipForConditionalGeneration

        >>> processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
        >>> model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")

        >>> url = "http://images.cocodataset.org/val2017/000000039769.jpg"
        >>> image = Image.open(requests.get(url, stream=True).raw)

        >>> inputs = processor(images=image, return_tensors="pt")

        >>> outputs = model(**inputs)
        ```"""

Traceback (most recent call last):
  File "try.py", line 53, in <module>
    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
  File "/home/user/anaconda3/envs/jittor/lib/python3.9/site-packages/transformers/modeling_utils.py", line 2370, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File "/home/user/anaconda3/envs/jittor/lib/python3.9/site-packages/transformers/models/blip/modeling_blip.py", line 950, in __init__
    self.text_decoder = BlipTextLMHeadModel(config.text_config)
  File "/home/user/anaconda3/envs/jittor/lib/python3.9/site-packages/transformers/models/blip/modeling_blip_text.py", line 812, in __init__
    self.bert = BlipTextModel(config, add_pooling_layer=False)
  File "/home/user/anaconda3/envs/jittor/lib/python3.9/site-packages/transformers/models/blip/modeling_blip_text.py", line 578, in __init__
    self.embeddings = BlipTextEmbeddings(config)
  File "/home/user/anaconda3/envs/jittor/lib/python3.9/site-packages/transformers/models/blip/modeling_blip_text.py", line 60, in __init__
    self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1)))
  File "/home/user/anaconda3/envs/jittor/lib/python3.9/site-packages/jittor/misc.py", line 299, in expand
    shape[i] = x.shape[i]
RuntimeError: Wrong inputs arguments, Please refer to examples(help(jt.NanoVector.__map_getitem__)).

Types of your inputs are:
 self   = NanoVector,
 arg0   = int,

The function declarations are:
 inline int64 at(int i)
 inline NanoVector slice(Slice slice)

Failed reason:[f 0514 20:59:42.756720 96 nano_vector.h:116] Check failed: i>=0 && i<size()  Something wrong... Could you please report this issue?