"""simple docstring"""
import argparse

import torch
from datasets import load_dataset
from donut import DonutModel

from transformers import (
    DonutImageProcessor,
    DonutProcessor,
    DonutSwinConfig,
    DonutSwinModel,
    MBartConfig,
    MBartForCausalLM,
    VisionEncoderDecoderModel,
    XLMRobertaTokenizerFast,
)





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str   )   ->			List[str]:





						"""simple docstring"""






						snake_case        =     model.config

						snake_case        =     DonutSwinConfig(
						    image_size=original_config.input_size	,     patch_size=4	,     depths=original_config.encoder_layer	,     num_heads=[4, 8, 1_6, 3_2]	,     window_size=original_config.window_size	,     embed_dim=1_2_8	,     )
						snake_case        =     MBartConfig(
						    is_decoder=__lowerCamelCase	,     is_encoder_decoder=__lowerCamelCase	,     add_cross_attention=__lowerCamelCase	,     decoder_layers=original_config.decoder_layer	,     max_position_embeddings=original_config.max_position_embeddings	,     vocab_size=len(
						        model.decoder.tokenizer   )	,     scale_embedding=__lowerCamelCase	,     add_final_layer_norm=__lowerCamelCase	,     )

						return encoder_config, decoder_config





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Optional[Any]   )   ->			Tuple:





						"""simple docstring"""






						if "encoder.model" in name:
												snake_case        =     name.replace('encoder.model'	,     'encoder'   )
						if "decoder.model" in name:
												snake_case        =     name.replace('decoder.model'	,     'decoder'   )
						if "patch_embed.proj" in name:
												snake_case        =     name.replace('patch_embed.proj'	,     'embeddings.patch_embeddings.projection'   )
						if "patch_embed.norm" in name:
												snake_case        =     name.replace('patch_embed.norm'	,     'embeddings.norm'   )
						if name.startswith('encoder'   ):
												if "layers" in name:
																		snake_case        =     'encoder.' + name
												if "attn.proj" in name:
																		snake_case        =     name.replace('attn.proj'	,     'attention.output.dense'   )
												if "attn" in name and "mask" not in name:
																		snake_case        =     name.replace('attn'	,     'attention.self'   )
												if "norm1" in name:
																		snake_case        =     name.replace('norm1'	,     'layernorm_before'   )
												if "norm2" in name:
																		snake_case        =     name.replace('norm2'	,     'layernorm_after'   )
												if "mlp.fc1" in name:
																		snake_case        =     name.replace('mlp.fc1'	,     'intermediate.dense'   )
												if "mlp.fc2" in name:
																		snake_case        =     name.replace('mlp.fc2'	,     'output.dense'   )

												if name == "encoder.norm.weight":
																		snake_case        =     'encoder.layernorm.weight'
												if name == "encoder.norm.bias":
																		snake_case        =     'encoder.layernorm.bias'

						return name





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int	,     _UpperCamelCase    :			Dict   )   ->			Dict:





						"""simple docstring"""






						for key in orig_state_dict.copy().keys():
												snake_case        =     orig_state_dict.pop(__lowerCamelCase   )

												if "qkv" in key:
																		snake_case        =     key.split('.'   )
																		snake_case        =     int(key_split[3]   )
																		snake_case        =     int(key_split[5]   )
																		snake_case        =     model.encoder.encoder.layers[layer_num].blocks[block_num].attention.self.all_head_size

																		if "weight" in key:
																								snake_case        =     val[:dim, :]
																								snake_case        =     val[dim : dim * 2, :]
																								snake_case        =     val[-dim:, :]
																		else:
																								snake_case        =     val[:dim]
																								snake_case        =     val[dim : dim * 2]
																								snake_case        =     val[-dim:]
												elif "attn_mask" in key or key in ["encoder.model.norm.weight", "encoder.model.norm.bias"]:
																		# HuggingFace implementation doesn't use attn_mask buffer
																		# and model doesn't use final LayerNorms for the encoder
																		pass
												else:
																		snake_case        =     val

						return orig_state_dict





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int	,     _UpperCamelCase    :			str=None	,     _UpperCamelCase    :			Tuple=False   )   ->			Any:





						"""simple docstring"""






						snake_case        =     DonutModel.from_pretrained(__lowerCamelCase   ).eval()

						# load HuggingFace model
						snake_case   ,snake_case        =     get_configs(__lowerCamelCase   )
						snake_case        =     DonutSwinModel(__lowerCamelCase   )
						snake_case        =     MBartForCausalLM(__lowerCamelCase   )
						snake_case        =     VisionEncoderDecoderModel(encoder=__lowerCamelCase	,     decoder=__lowerCamelCase   )
						model.eval()

						snake_case        =     original_model.state_dict()
						snake_case        =     convert_state_dict(__lowerCamelCase	,     __lowerCamelCase   )
						model.load_state_dict(__lowerCamelCase   )

						# verify results on scanned document
						snake_case        =     load_dataset('hf-internal-testing/example-documents'   )
						snake_case        =     dataset['test'][0]['image'].convert('RGB'   )

						snake_case        =     XLMRobertaTokenizerFast.from_pretrained(__lowerCamelCase	,     from_slow=__lowerCamelCase   )
						snake_case        =     DonutImageProcessor(
						    do_align_long_axis=original_model.config.align_long_axis	,     size=original_model.config.input_size[::-1]   )
						snake_case        =     DonutProcessor(__lowerCamelCase	,     __lowerCamelCase   )
						snake_case        =     processor(__lowerCamelCase	,     return_tensors='pt'   ).pixel_values

						if model_name == "naver-clova-ix/donut-base-finetuned-docvqa":
												snake_case        =     '<s_docvqa><s_question>{user_input}</s_question><s_answer>'
												snake_case        =     'When is the coffee break?'
												snake_case        =     task_prompt.replace('{user_input}'	,     __lowerCamelCase   )
						elif model_name == "naver-clova-ix/donut-base-finetuned-rvlcdip":
												snake_case        =     '<s_rvlcdip>'
						elif model_name in [
						    "naver-clova-ix/donut-base-finetuned-cord-v1",
						    "naver-clova-ix/donut-base-finetuned-cord-v1-2560",
						]:
												snake_case        =     '<s_cord>'
						elif model_name == "naver-clova-ix/donut-base-finetuned-cord-v2":
												snake_case        =     's_cord-v2>'
						elif model_name == "naver-clova-ix/donut-base-finetuned-zhtrainticket":
												snake_case        =     '<s_zhtrainticket>'
						elif model_name in ["naver-clova-ix/donut-proto", "naver-clova-ix/donut-base"]:
												# use a random prompt
												snake_case        =     'hello world'
						else:
												raise ValueError('Model name not supported'   )
						snake_case        =     original_model.decoder.tokenizer(__lowerCamelCase	,     add_special_tokens=__lowerCamelCase	,     return_tensors='pt'   )[
						    'input_ids'
						]

						snake_case        =     original_model.encoder.model.patch_embed(__lowerCamelCase   )
						snake_case   ,snake_case        =     model.encoder.embeddings(__lowerCamelCase   )
						assert torch.allclose(__lowerCamelCase	,     __lowerCamelCase	,     atol=1e-3   )

						# verify encoder hidden states
						snake_case        =     original_model.encoder(__lowerCamelCase   )
						snake_case        =     model.encoder(__lowerCamelCase   ).last_hidden_state
						assert torch.allclose(__lowerCamelCase	,     __lowerCamelCase	,     atol=1e-2   )

						# verify decoder hidden states
						snake_case        =     original_model(__lowerCamelCase	,     __lowerCamelCase	,     __lowerCamelCase   ).logits
						snake_case        =     model(__lowerCamelCase	,     decoder_input_ids=__lowerCamelCase   ).logits
						assert torch.allclose(__lowerCamelCase	,     __lowerCamelCase	,     atol=1e-3   )
						print('Looks ok!'   )

						if pytorch_dump_folder_path is not None:
												print(f"""Saving model and processor to {pytorch_dump_folder_path}"""   )
												model.save_pretrained(__lowerCamelCase   )
												processor.save_pretrained(__lowerCamelCase   )

						if push_to_hub:
												model.push_to_hub('nielsr/' + model_name.split('/'   )[-1]	,     commit_message='Update model'   )
												processor.push_to_hub('nielsr/' + model_name.split('/'   )[-1]	,     commit_message='Update model'   )


if __name__ == "__main__":
		SCREAMING_SNAKE_CASE__   =					argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    "--model_name",
		    default="naver-clova-ix/donut-base-finetuned-docvqa",
		    required=False,
		    type=str,
		    help="Name of the original model you\'d like to convert.",
		)
		parser.add_argument(
		    "--pytorch_dump_folder_path",
		    default=None,
		    required=False,
		    type=str,
		    help="Path to the output PyTorch model directory.",
		)
		parser.add_argument(
		    "--push_to_hub",
		    action="store_true",
		    help="Whether or not to push the converted model and processor to the 🤗 hub.",
		)

		SCREAMING_SNAKE_CASE__   =					parser.parse_args()
		convert_donut_checkpoint(args.model_name, args.pytorch_dump_folder_path, args.push_to_hub)



"""simple docstring"""
from ..utils import DummyObject, requires_backends



class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Dict     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Optional[Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Optional[Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Optional[int]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Dict     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Optional[int]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Any     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      List[Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      str     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      str     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Any     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      int     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Any     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Optional[int]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      int     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Dict     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Any     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      str     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Dict     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )





class 					lowerCAmelCase_      (     metaclass=lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  ["""sentencepiece"""]

				def __init__(			self						,      *lowerCAmelCase						,      **lowerCAmelCase      ):






										"""simple docstring"""

										requires_backends(self						,      ['sentencepiece']      )


