
"""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__						       =				get_logger(__name__)






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__	):
			if text.startswith(lowerCAmelCase__	):
						return text[len(lowerCAmelCase__	) :]
			return text  # or whatever






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






def    lowercase	(  lowerCAmelCase__	):
			lowerCamelCase_ 		=     {}
			for k in state_dicts[0].keys():
						lowerCamelCase_ 		=     [sd[k] for sd in state_dicts]
						lowerCamelCase_ 		=     sum(lowerCAmelCase__	) / len(lowerCAmelCase__	)
						assert isinstance(lowerCAmelCase__  ,torch.Tensor	)
						lowerCamelCase_ 		=     new_t
			return new_sd






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__  ,lowerCAmelCase__	):
			lowerCamelCase_ 		=     AutoModelForSeqaSeqLM.from_pretrained(lowerCAmelCase__	)
			if os.path.isfile(lowerCAmelCase__	):
						lowerCamelCase_ 		=     [pl_ckpt_path]
			else:
						assert os.path.isdir(lowerCAmelCase__	)
						lowerCamelCase_ 		=     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}"	)

			lowerCamelCase_ 		=     [sanitize(torch.load(lowerCAmelCase__  ,map_location='''cpu'''	)['''state_dict''']	) for x in ckpt_files]
			lowerCamelCase_ 		=     average_state_dicts(lowerCAmelCase__	)

			lowerCamelCase_		,   lowerCamelCase_ 		=     hf_model.load_state_dict(lowerCAmelCase__  ,strict=lowerCAmelCase__	)
			assert not missing, f"missing keys: {missing}"
			hf_model.save_pretrained(lowerCAmelCase__	)
			try:
						lowerCamelCase_ 		=     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)





"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A_						       =				logging.get_logger(__name__)

A_						       =				{
    """MBZUAI/swiftformer-xs""": """https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json""",
}




class    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			Any									=						'swiftformer'




				def __init__(							self       ,	UpperCAmelCase=3       ,	UpperCAmelCase=[3, 3, 6, 4]       ,	UpperCAmelCase=[48, 56, 112, 220]       ,	UpperCAmelCase=4       ,	UpperCAmelCase=[True, True, True, True]       ,	UpperCAmelCase="gelu"       ,	UpperCAmelCase=3       ,	UpperCAmelCase=2       ,	UpperCAmelCase=1       ,	UpperCAmelCase=0.0       ,	UpperCAmelCase=True       ,	UpperCAmelCase=1e-5       ,	UpperCAmelCase=1e-5       ,	**UpperCAmelCase       ,	):
							super().__init__(**UpperCAmelCase      )
							lowerCamelCase_ 		=     num_channels
							lowerCamelCase_ 		=     depths
							lowerCamelCase_ 		=     embed_dims
							lowerCamelCase_ 		=     mlp_ratio
							lowerCamelCase_ 		=     downsamples
							lowerCamelCase_ 		=     hidden_act
							lowerCamelCase_ 		=     down_patch_size
							lowerCamelCase_ 		=     down_stride
							lowerCamelCase_ 		=     down_pad
							lowerCamelCase_ 		=     drop_path_rate
							lowerCamelCase_ 		=     use_layer_scale
							lowerCamelCase_ 		=     layer_scale_init_value
							lowerCamelCase_ 		=     batch_norm_eps




class    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			str									=						version.parse('1.11' )




				@property
				def 					UpperCAmelCase__	(							self      ):
							return OrderedDict(
							    [
							        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
							    ]      )





				@property
				def 					UpperCAmelCase__	(							self      ):
							return 1e-4



