处理PDF时Render.render(model, tokenizer, image_path, convert_confirm)返回值问题

[fersity]

%Run 'pdf2img and Render.py' ['./pdf/孙元琳-2024.pdf'] Loading config... 正在导入库...... 正在加载模型...... 模型加载成功 是否将HTML转换为PDF？(Y/N)y The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's attention_mask to obtain reliable results. Setting pad_token_id to eos_token_id:None for open-end generation. The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's attention_mask to obtain reliable results. The seen_tokens attribute is deprecated and will be removed in v4.41. Use the cache_position model input instead. G:\programs2023\python311\Lib\site-packages\transformers\models\qwen2\modeling_qwen2.py:623: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:555.) attn_output = torch.nn.functional.scaled_dot_product_attention( ==============rendering=============== 字符串 '(C)' 已被替换为 '(C\)'。 Traceback (most recent call last): File "G:\BaiduNetdiskDownload\GOT-OCR-2-GUI\pdf2img and Render.py", line 87, in success,res = Render.render(model, tokenizer, image_path, convert_confirm) TypeError: cannot unpack non-iterable bool object

备注： windows 11 NVIDIA GeForce MX150 python 3.11 cuda 11.8 torch 2.4.1+cu118

[XJF2332]

新提交应该修复了这个问题。 不过要注意的是，现在这个处理pdf的功能还比较原始，具体来说：

1. 开始前请保证你的result、imgs文件夹是空的，pdf文件夹只有一个你需要处理的pdf，不然的话这个脚本会一次性处理完全部的输入，而不是你想要的单个文件
2. 原始pdf的每一页都会变成单个pdf（或者HTML）保存下来，暂时还没有合并的功能，输出会比较乱

所以说，用着的时候别玩脱了，渲染器这玩意我还有很多事要做

[fersity]

好的，谢谢