Zhang Cong

Results 7 issues of Zhang Cong

File "E:\projects\MetaGym\metagym\metamaze\test.py", line 7, in from metagym.metamaze import MazeTaskSampler ImportError: cannot import name 'MazeTaskSampler' from 'metagym.metamaze' (D:\Programs\Anaconda3\lib\site-packages\metagym\metamaze\__init__.py)

### ๐Ÿš€ The feature, motivation, and pitch https://github.com/CarperAI/trlx/blob/b91da7b03d8e9fa0c0d6dce10a8f2611aca3013f/trlx/trainer/accelerate_ppo_trainer.py (1) In line 307, scores = torch.tensor( self.reward_fn( samples=str_samples, prompts=str_prompts, outputs=str_outputs, ), dtype=torch.float, ).to(device) What's the meaning of scores and how it...

feature request

xๅ…‰ๅ›พ็‰‡๏ผŒ2700ๅผ ๏ผŒ่ฎญ็ปƒๅ’Œ้ชŒ่ฏ้›†loss้ƒฝๅฏไปฅ ๅˆฐ0.6ๅทฆๅณ๏ผŒ้ชŒ่ฏ0.9๏ผŒ ไฝ†coco_eval.py็ป“ๆžœๅ‡ ไนŽๅ…จๆ˜ฏ0 ่ฏท้—ฎๅฏ่ƒฝๆ˜ฏๅ•ฅๅŽŸๅ› ๏ผŸ ็ฎ—ๆณ•ไปฃ็ ไธไผšๆœ‰้—ฎ้ข˜ๅง๏ผŸ ็œŸๆญฃ่ฎญ็ปƒๆ—ถ็š„labelๆ˜ฏๅ•ฅ ๆˆ‘็š„ๆ ‡ๆณจๆ–‡ไปถimage_idๆ˜ฏๅฏนๅบ”ๅ›พ็‰‡ๆ–‡ไปถๅๆ•ฐๅญ—็ผ–ๅท๏ผŒ ๅŒไธ€ไธชๅ›พ็š„box็š„image_id ไธๅ˜ใ€‚

When I run: python llm_export.py --type Qwen-7B-Chat --path /mnt/LLM_Data/Qwen-7B-Chat --export_split --export_token --export_mnn --onnx_path /mnt/LLM_Data/Qwen-7B-Chat-onnx --mnn_path /mnt/LLM_Data/Qwen-7B-Chat-mnn I got: Loading checkpoint shards: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 8/8 [00:06

File "C:\Users\smart\anaconda3\Lib\site-packages\transformers\configuration_utils.py", line 572, in from_pretrained return cls.from_dict(config_dict, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\smart\anaconda3\Lib\site-packages\transformers\configuration_utils.py", line 771, in from_dict logger.info(f"Model config {config}") ^^^^^^^^ File "C:\Users\smart\anaconda3\Lib\site-packages\transformers\configuration_utils.py", line 803, in __repr__ return f"{self.__class__.__name__} {self.to_json_string()}" ^^^^^^^^^^^^^^^^^^^^^...