JasonLLLLLLLLLLL
JasonLLLLLLLLLLL
From the line **250** to **255**, there is a func called merge_groups(). the code is as follows: ``` def merge_groups(self): path_group = self.svg_path_groups[0] for path_group in self.svg_path_groups[1:]: path_group.svg_paths.extend(path_group.svg_paths) self.svg_path_groups =...
From the line **250** to **255**, there is a func called merge_groups(). the code is as follows: ``` def merge_groups(self): path_group = self.svg_path_groups[0] for path_group in self.svg_path_groups[1:]: path_group.svg_paths.extend(path_group.svg_paths) self.svg_path_groups =...
Hello, I have done the Installation. I am wondering how can I do the Inference after training? ``` # the input fonts ls ./example/dataset/ # prepare the dataset and start...
``` I came across the IconShop[2](https://serce.me/posts/02-10-2023-hey-computer-make-me-a-font#references) paper which achieved pretty impressive results. It took me some time to reproduce them by building a model based on the description in the...
The following is the two args in your code. ``` max_source_length: Optional[int] = field( default=2048, metadata={ "help": "The maximum total input sequence length after tokenization." }, ) max_target_length: Optional[int] =...
It seems there are some precision error when I run **example/train.py**. Could you help me with this？ I try set llama "torch_dtype": "float**16**", into "torch_dtype": "float**32**".. It is not helpful...
It seems it can get the last checkpoint in **train/llama.py**. But the loss seems to start over again(at 1.6). It should be 0.2 at this checkpoint. ``` {'loss': 1.6927, 'learning_rate':...
when I run **examples/train.py** with a 4090(24GB). it shows cuda out memeory. May I ask what GPU do you use when run train.py? Thanks! torch.cuda.OutOfMemoryError: CUDA out of memory. Tried...