[Question]: FlagAI\examples\AltCLIP>python altclip_inference.py 报错

[panghongwei17]

Description

   size mismatch for vision_model.encoder.layers.11.mlp.fc1.bias: copying a param with shape torch.Size([4096]) from checkpoint, the shape in current model is torch.Size([3072]). 
    size mismatch for vision_model.encoder.layers.11.mlp.fc2.weight: copying a param with shape torch.Size([1024, 4096]) from checkpoint, the shape in current model is torch.Size([768, 3072]).
    size mismatch for vision_model.encoder.layers.11.mlp.fc2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).  
    size mismatch for vision_model.encoder.layers.11.layer_norm2.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
    size mismatch for vision_model.encoder.layers.11.layer_norm2.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
    size mismatch for vision_model.post_layernorm.weight: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
    size mismatch for vision_model.post_layernorm.bias: copying a param with shape torch.Size([1024]) from checkpoint, the shape in current model is torch.Size([768]).
    size mismatch for visual_projection.weight: copying a param with shape torch.Size([768, 1024]) from checkpoint, the shape in current model is torch.Size([768, 768]).
    You may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method.

Alternatives

No response

[BAAI-OpenPlatform]

我不能复现这个报错，也许试试pull最新代码并安装，然后删除本地模型并重新加载一遍模型？

[BAAI-OpenPlatform]

此问题已关闭，如有疑问可以重新打开