

"""simple docstring"""





import os
from pathlib import Path
from typing import Dict, List

import fire
import torch

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.utils.logging import get_logger


_SCREAMING_SNAKE_CASE							:	str										=			get_logger(__name__)



def 							_lowerCAmelCase   (    UpperCAmelCase  :				Dict   ,				UpperCAmelCase  :				Any					):


					'''simple docstring'''






					if text.startswith(lowerCamelCase__					):
										return text[len(lowerCamelCase__					) :]
					return text  # or whatever



def 							_lowerCAmelCase   (    UpperCAmelCase  :				Optional[Any]					):


					'''simple docstring'''






					return {remove_prefix(lowerCamelCase__   ,				'''model.'''					): v for k, v in sd.items()}



def 							_lowerCAmelCase   (    UpperCAmelCase  :				Union[str, Any]					):


					'''simple docstring'''






					UpperCamelCase__		:     List[Any]								={}
					for k in state_dicts[0].keys():
										UpperCamelCase__		:     Optional[Any]								=[sd[k] for sd in state_dicts]
										UpperCamelCase__		:     Optional[int]								=sum(lowerCamelCase__					) / len(lowerCamelCase__					)
										assert isinstance(lowerCamelCase__   ,				torch.Tensor					)
										UpperCamelCase__		:     List[str]								=new_t
					return new_sd



def 							_lowerCAmelCase   (    UpperCAmelCase  :				str   ,				UpperCAmelCase  :				List[str]   ,				UpperCAmelCase  :				Dict					):


					'''simple docstring'''






					UpperCamelCase__		:     List[str]								=AutoModelForSeqaSeqLM.from_pretrained(lowerCamelCase__					)
					if os.path.isfile(lowerCamelCase__					):
										UpperCamelCase__		:     List[Any]								=[pl_ckpt_path]
					else:
										assert os.path.isdir(lowerCamelCase__					)
										UpperCamelCase__		:     str								=list(Path(lowerCamelCase__					).glob('''*.ckpt'''					)					)
										assert ckpt_files, F'''could not find any ckpt files inside the {pl_ckpt_path} directory'''

					if len(lowerCamelCase__					) > 1:
										logger.info(F'''averaging the weights of {ckpt_files}'''					)

					UpperCamelCase__		:     Dict								=[sanitize(torch.load(lowerCamelCase__   ,				map_location='''cpu'''					)['''state_dict''']					) for x in ckpt_files]
					UpperCamelCase__		:     Optional[Any]								=average_state_dicts(lowerCamelCase__					)

					UpperCamelCase__	,      UpperCamelCase__		:     Optional[Any]								=hf_model.load_state_dict(lowerCamelCase__   ,				strict=lowerCamelCase__					)
					assert not missing, F'''missing keys: {missing}'''
					hf_model.save_pretrained(lowerCamelCase__					)
					try:
										UpperCamelCase__		:     List[Any]								=AutoTokenizer.from_pretrained(lowerCamelCase__					)
										tok.save_pretrained(lowerCamelCase__					)
					except Exception:
										pass
										# dont copy tokenizer if cant


if __name__ == "__main__":
				fire.Fire(convert_pl_to_hf)



from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


_SCREAMING_SNAKE_CASE     =     datasets.utils.logging.get_logger(__name__)







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilderConfig     ):
    UpperCAmelCase_      :							bool    			=				None
    UpperCAmelCase_      :							bool    			=				None







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilder     ):
    UpperCAmelCase_      :							Any    			=				datasets.Image()
    UpperCAmelCase_      :							List[Any]    			=				'image'
    UpperCAmelCase_      :							int    			=				ImageFolderConfig
    UpperCAmelCase_      :							List[str]  # definition at the bottom of the script
    UpperCAmelCase_      :							Dict    			=				ImageClassification(image_column='image'  ,  label_column='label'     )

_SCREAMING_SNAKE_CASE     =     [
    """.blp""",
    """.bmp""",
    """.dib""",
    """.bufr""",
    """.cur""",
    """.pcx""",
    """.dcx""",
    """.dds""",
    """.ps""",
    """.eps""",
    """.fit""",
    """.fits""",
    """.fli""",
    """.flc""",
    """.ftc""",
    """.ftu""",
    """.gbr""",
    """.gif""",
    """.grib""",
    """.h5""",
    """.hdf""",
    """.png""",
    """.apng""",
    """.jp2""",
    """.j2k""",
    """.jpc""",
    """.jpf""",
    """.jpx""",
    """.j2c""",
    """.icns""",
    """.ico""",
    """.im""",
    """.iim""",
    """.tif""",
    """.tiff""",
    """.jfif""",
    """.jpe""",
    """.jpg""",
    """.jpeg""",
    """.mpg""",
    """.mpeg""",
    """.msp""",
    """.pcd""",
    """.pxr""",
    """.pbm""",
    """.pgm""",
    """.ppm""",
    """.pnm""",
    """.psd""",
    """.bw""",
    """.rgb""",
    """.rgba""",
    """.sgi""",
    """.ras""",
    """.tga""",
    """.icb""",
    """.vda""",
    """.vst""",
    """.webp""",
    """.wmf""",
    """.emf""",
    """.xbm""",
    """.xpm""",
]
_SCREAMING_SNAKE_CASE     =     IMAGE_EXTENSIONS

