
import argparse

from tax import checkpoints

from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM

def 		UpperCamelCase	(      lowercase_ , lowercase_ , lowercase_   )		->	Any:


		'''simple docstring'''






		lowercase__  :   str    		=      AutoConfig.from_pretrained(_lowercase   )
		lowercase__  :   str    		=      FlaxAutoModelForSeqaSeqLM.from_config(config=_lowercase   )
		lowercase__  :   Optional[Any]    		=      checkpoints.load_tax_checkpoint(_lowercase   )

		lowercase__  :   Tuple    		=      '''wi_0''' in tax_model['''target''']['''encoder''']['''layers_0''']['''mlp''']

		if config.model_type == "t5":
				lowercase__  :   int    		=      '''SelfAttention'''
		if config.model_type == "longt5" and config.encoder_attention_type == "local":
				lowercase__  :   str    		=      '''LocalSelfAttention'''
		elif config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
				lowercase__  :   List[str]    		=      '''TransientGlobalSelfAttention'''
		else:
				raise ValueError(
				    """Given config is expected to have `model_type=\'t5\'`, or `model_type=\'longt5` with `encoder_attention_type`"""
				    """ attribute with a value from [\'local\', \'transient-global]."""   )

		# Encoder
		for layer_index in range(config.num_layers   ):
				lowercase__  :   List[str]    		=      F'layers_{str(_lowercase   )}'

				# Self-Attention
				lowercase__  :   List[Any]    		=      tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''key''']['''kernel''']
				lowercase__  :   str    		=      tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''out''']['''kernel''']
				lowercase__  :   List[Any]    		=      tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''query''']['''kernel''']
				lowercase__  :   List[str]    		=      tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''value''']['''kernel''']

				# Global input layer norm
				if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
						lowercase__  :   List[str]    		=      tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''T5LayerNorm_0''']['''scale''']

				# Layer Normalization
				lowercase__  :   List[str]    		=      tax_model['''target''']['''encoder'''][layer_name]['''pre_attention_layer_norm''']['''scale''']

				if split_mlp_wi:
						lowercase__  :   int    		=      tax_model['''target''']['''encoder'''][layer_name]['''mlp''']['''wi_0''']['''kernel''']
						lowercase__  :   Optional[int]    		=      tax_model['''target''']['''encoder'''][layer_name]['''mlp''']['''wi_1''']['''kernel''']
				else:
						lowercase__  :   int    		=      tax_model['''target''']['''encoder'''][layer_name]['''mlp''']['''wi''']['''kernel''']

				lowercase__  :   Tuple    		=      tax_model['''target''']['''encoder'''][layer_name]['''mlp''']['''wo''']['''kernel''']

				# Layer Normalization
				lowercase__  :   Any    		=      tax_model['''target''']['''encoder'''][layer_name]['''pre_mlp_layer_norm''']['''scale''']

				# Assigning
				lowercase__  :   List[str]    		=      flax_model.params['''encoder''']['''block'''][str(_lowercase   )]['''layer''']
				lowercase__  :   Dict    		=      tax_attention_key
				lowercase__  :   List[Any]    		=      tax_attention_out
				lowercase__  :   List[str]    		=      tax_attention_query
				lowercase__  :   List[str]    		=      tax_attention_value

				lowercase__  :   Any    		=      tax_attention_layer_norm

				# Global input layer norm
				if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
						lowercase__  :   Dict    		=      tax_global_layer_norm

				if split_mlp_wi:
						lowercase__  :   List[str]    		=      tax_mlp_wi_a
						lowercase__  :   Optional[Any]    		=      tax_mlp_wi_a
				else:
						lowercase__  :   Optional[Any]    		=      tax_mlp_wi

				lowercase__  :   Tuple    		=      tax_mlp_wo
				lowercase__  :   Optional[Any]    		=      tax_mlp_layer_norm

				lowercase__  :   str    		=      flax_model_encoder_layer_block

		# Only for layer 0:
		lowercase__  :   List[Any]    		=      tax_model['''target''']['''encoder''']['''relpos_bias''']['''rel_embedding'''].T
		lowercase__  :   str    		=      tax_encoder_rel_embedding

		# Side/global relative position_bias + layer norm
		if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
				lowercase__  :   int    		=      tax_model['''target''']['''encoder''']['''side_relpos_bias''']['''rel_embedding'''].T
				lowercase__  :   int    		=      tax_encoder_global_rel_embedding

		# Assigning
		lowercase__  :   Optional[int]    		=      tax_model['''target''']['''encoder''']['''encoder_norm''']['''scale''']
		lowercase__  :   int    		=      tax_encoder_norm

		# Decoder
		for layer_index in range(config.num_layers   ):
				lowercase__  :   List[Any]    		=      F'layers_{str(_lowercase   )}'

				# Self-Attention
				lowercase__  :   List[str]    		=      tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''key''']['''kernel''']
				lowercase__  :   Any    		=      tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''out''']['''kernel''']
				lowercase__  :   List[Any]    		=      tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''query''']['''kernel''']
				lowercase__  :   Dict    		=      tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''value''']['''kernel''']

				# Layer Normalization
				lowercase__  :   Dict    		=      tax_model['''target''']['''decoder'''][layer_name]['''pre_self_attention_layer_norm'''][
				    '''scale'''
				]

				# Encoder-Decoder-Attention
				lowercase__  :   str    		=      tax_model['''target''']['''decoder'''][layer_name]['''encoder_decoder_attention''']
				lowercase__  :   str    		=      tax_enc_dec_attention_module['''key''']['''kernel''']
				lowercase__  :   List[Any]    		=      tax_enc_dec_attention_module['''out''']['''kernel''']
				lowercase__  :   int    		=      tax_enc_dec_attention_module['''query''']['''kernel''']
				lowercase__  :   List[str]    		=      tax_enc_dec_attention_module['''value''']['''kernel''']

				# Layer Normalization
				lowercase__  :   Tuple    		=      tax_model['''target''']['''decoder'''][layer_name]['''pre_cross_attention_layer_norm''']['''scale''']

				# MLP
				if split_mlp_wi:
						lowercase__  :   Any    		=      tax_model['''target''']['''decoder'''][layer_name]['''mlp''']['''wi_0''']['''kernel''']
						lowercase__  :   str    		=      tax_model['''target''']['''decoder'''][layer_name]['''mlp''']['''wi_1''']['''kernel''']
				else:
						lowercase__  :   List[str]    		=      tax_model['''target''']['''decoder'''][layer_name]['''mlp''']['''wi''']['''kernel''']

				lowercase__  :   Dict    		=      tax_model['''target''']['''decoder'''][layer_name]['''mlp''']['''wo''']['''kernel''']

				# Layer Normalization
				lowercase__  :   List[Any]    		=      tax_model['''target''']['''decoder'''][layer_name]['''pre_mlp_layer_norm''']['''scale''']

				# Assigning
				lowercase__  :   Any    		=      flax_model.params['''decoder''']['''block'''][str(_lowercase   )]['''layer''']
				lowercase__  :   Optional[Any]    		=      tax_attention_key
				lowercase__  :   Union[str, Any]    		=      tax_attention_out
				lowercase__  :   Dict    		=      tax_attention_query
				lowercase__  :   Any    		=      tax_attention_value

				lowercase__  :   Optional[int]    		=      tax_pre_attention_layer_norm

				lowercase__  :   Union[str, Any]    		=      tax_enc_dec_attention_key
				lowercase__  :   List[Any]    		=      tax_enc_dec_attention_out
				lowercase__  :   List[Any]    		=      tax_enc_dec_attention_query
				lowercase__  :   List[Any]    		=      tax_enc_dec_attention_value

				lowercase__  :   Optional[Any]    		=      tax_cross_layer_norm

				if split_mlp_wi:
						lowercase__  :   Any    		=      tax_mlp_wi_a
						lowercase__  :   Dict    		=      tax_mlp_wi_a
				else:
						lowercase__  :   Optional[int]    		=      tax_mlp_wi

				lowercase__  :   int    		=      tax_mlp_wo

				lowercase__  :   Optional[int]    		=      txa_mlp_layer_norm

				lowercase__  :   Union[str, Any]    		=      flax_model_decoder_layer_block

		# Decoder Normalization
		lowercase__  :   Optional[Any]    		=      tax_model['''target''']['''decoder''']['''decoder_norm''']['''scale''']
		lowercase__  :   Optional[int]    		=      txa_decoder_norm

		# Only for layer 0:
		lowercase__  :   Tuple    		=      tax_model['''target''']['''decoder''']['''relpos_bias''']['''rel_embedding'''].T
		lowercase__  :   Any    		=      tax_decoder_rel_embedding

		# Token Embeddings
		lowercase__  :   Any    		=      tax_model['''target''']['''token_embedder''']['''embedding''']
		lowercase__  :   List[str]    		=      txa_token_embeddings

		# LM Head (only in v1.1 and LongT5 checkpoints)
		if "logits_dense" in tax_model["target"]["decoder"]:
				lowercase__  :   int    		=      tax_model['''target''']['''decoder''']['''logits_dense''']['''kernel''']

		flax_model.save_pretrained(_lowercase   )
		print("""T5X Model was sucessfully converted!"""   )


if __name__ == "__main__":
					lowerCamelCase__    :		Optional[int]          =   argparse.ArgumentParser()
					# Required parameters
					parser.add_argument(
					    """--t5x_checkpoint_path""", default=None, type=str, required=True, help="""Path the T5X checkpoint."""
					)
					parser.add_argument("""--config_name""", default=None, type=str, required=True, help="""Config name of LongT5/T5 model.""")
					parser.add_argument(
					    """--flax_dump_folder_path""", default=None, type=str, required=True, help="""Path to the output FLAX model."""
					)
					lowerCamelCase__    :		List[str]          =   parser.parse_args()
					convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)








from ..utils import DummyObject, requires_backends



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     int        =			['torch', 'transformers', 'onnx']


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


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Any        =			['torch', 'transformers', 'onnx']


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


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Union[str, Any]        =			['torch', 'transformers', 'onnx']


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


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     List[Any]        =			['torch', 'transformers', 'onnx']


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


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Dict        =			['torch', 'transformers', 'onnx']


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


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     List[str]        =			['torch', 'transformers', 'onnx']


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


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])






