



'''simple docstring'''




import argparse
import json

import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image

from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification






def 		_lowerCAmelCase				(_lowercase			):

       """simple docstring"""

       a__								= SwinConfig()
       a__								= swin_name.split("_"			)

       a__								= name_split[1]
       a__								= int(name_split[4]			)
       a__								= int(name_split[3][-1]			)

       if model_size == "tiny":
              a__								= 96
              a__								= (2, 2, 6, 2)
              a__								= (3, 6, 12, 24)
       elif model_size == "small":
              a__								= 96
              a__								= (2, 2, 18, 2)
              a__								= (3, 6, 12, 24)
       elif model_size == "base":
              a__								= 1_28
              a__								= (2, 2, 18, 2)
              a__								= (4, 8, 16, 32)
       else:
              a__								= 1_92
              a__								= (2, 2, 18, 2)
              a__								= (6, 12, 24, 48)

       if "in22k" in swin_name:
              a__								= 2_18_41
       else:
              a__								= 10_00
              a__								= "huggingface/label-files"
              a__								= "imagenet-1k-id2label.json"
              a__								= json.load(open(hf_hub_download(lowerCamelCase__   ,					lowerCamelCase__   ,					repo_type="dataset"			)   ,					"r"			)			)
              a__								= {int(lowerCamelCase__			): v for k, v in idalabel.items()}
              a__								= idalabel
              a__								= {v: k for k, v in idalabel.items()}

       a__								= img_size
       a__								= num_classes
       a__								= embed_dim
       a__								= depths
       a__								= num_heads
       a__								= window_size

       return config






def 		_lowerCAmelCase				(_lowercase			):

       """simple docstring"""

       if "patch_embed.proj" in name:
              a__								= name.replace("patch_embed.proj"   ,					"embeddings.patch_embeddings.projection"			)
       if "patch_embed.norm" in name:
              a__								= name.replace("patch_embed.norm"   ,					"embeddings.norm"			)
       if "layers" in name:
              a__								= "encoder." + name
       if "attn.proj" in name:
              a__								= name.replace("attn.proj"   ,					"attention.output.dense"			)
       if "attn" in name:
              a__								= name.replace("attn"   ,					"attention.self"			)
       if "norm1" in name:
              a__								= name.replace("norm1"   ,					"layernorm_before"			)
       if "norm2" in name:
              a__								= name.replace("norm2"   ,					"layernorm_after"			)
       if "mlp.fc1" in name:
              a__								= name.replace("mlp.fc1"   ,					"intermediate.dense"			)
       if "mlp.fc2" in name:
              a__								= name.replace("mlp.fc2"   ,					"output.dense"			)

       if name == "norm.weight":
              a__								= "layernorm.weight"
       if name == "norm.bias":
              a__								= "layernorm.bias"

       if "head" in name:
              a__								= name.replace("head"   ,					"classifier"			)
       else:
              a__								= "swin." + name

       return name






def 		_lowerCAmelCase				(_lowercase   ,					_lowercase			):

       """simple docstring"""

       for key in orig_state_dict.copy().keys():
              a__								= orig_state_dict.pop(lowerCamelCase__			)

              if "mask" in key:
                     continue
              elif "qkv" in key:
                     a__								= key.split("."			)
                     a__								= int(key_split[1]			)
                     a__								= int(key_split[3]			)
                     a__								= model.swin.encoder.layers[layer_num].blocks[block_num].attention.self.all_head_size

                     if "weight" in key:
                            a__								= val[:dim, :]
                            a__								= val[
                                dim : dim * 2, :
                            ]
                            a__								= val[-dim:, :]
                     else:
                            a__								= val[
                                :dim
                            ]
                            a__								= val[
                                dim : dim * 2
                            ]
                            a__								= val[
                                -dim:
                            ]
              else:
                     a__								= val

       return orig_state_dict






def 		_lowerCAmelCase				(_lowercase   ,					_lowercase			):

       """simple docstring"""

       a__								= timm.create_model(lowerCamelCase__   ,					pretrained=lowerCamelCase__			)
       timm_model.eval()

       a__								= get_swin_config(lowerCamelCase__			)
       a__								= SwinForImageClassification(lowerCamelCase__			)
       model.eval()

       a__								= convert_state_dict(timm_model.state_dict()   ,					lowerCamelCase__			)
       model.load_state_dict(lowerCamelCase__			)

       a__								= "http://images.cocodataset.org/val2017/000000039769.jpg"

       a__								= AutoImageProcessor.from_pretrained("microsoft/{}".format(swin_name.replace("_"   ,					"-"			)			)			)
       a__								= Image.open(requests.get(lowerCamelCase__   ,					stream=lowerCamelCase__			).raw			)
       a__								= image_processor(images=lowerCamelCase__   ,					return_tensors="pt"			)

       a__								= timm_model(inputs["pixel_values"]			)
       a__								= model(**lowerCamelCase__			).logits

       assert torch.allclose(lowerCamelCase__   ,					lowerCamelCase__   ,					atol=1e-3			)

       print(F'Saving model {swin_name} to {pytorch_dump_folder_path}'			)
       model.save_pretrained(lowerCamelCase__			)

       print(F'Saving image processor to {pytorch_dump_folder_path}'			)
       image_processor.save_pretrained(lowerCamelCase__			)


if __name__ == "__main__":
    UpperCamelCase_       :  Any					=  argparse.ArgumentParser()
    # Required parameters
    parser.add_argument(
        """--swin_name""",
        default="""swin_tiny_patch4_window7_224""",
        type=str,
        help="""Name of the Swin timm model you'd like to convert.""",
    )
    parser.add_argument(
        """--pytorch_dump_folder_path""", default=None, type=str, help="""Path to the output PyTorch model directory."""
    )

    UpperCamelCase_       :  int					=  parser.parse_args()
    convert_swin_checkpoint(args.swin_name, args.pytorch_dump_folder_path)




from ..utils import DummyObject, requires_backends







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[Any]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> List[str]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Union[str, Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[int]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Union[str, Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Dict			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[int]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Union[str, Any]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Tuple:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[int]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[Any]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Any			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[str]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[int]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[int]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[str]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Union[str, Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)

