
import argparse

from tax import checkpoints

from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Optional[Any]			,				UpperCAmelCase__				:      Tuple			,				UpperCAmelCase__				:      Dict       )  ->    Any:
							lowerCamelCase_							  =					AutoConfig.from_pretrained(UpperCAmelCase__       )
							lowerCamelCase_							  =					FlaxAutoModelForSeqaSeqLM.from_config(config=UpperCAmelCase__       )
							lowerCamelCase_							  =					checkpoints.load_tax_checkpoint(UpperCAmelCase__       )

							lowerCamelCase_							  =					"""wi_0""" in tax_model["""target"""]["""encoder"""]["""layers_0"""]["""mlp"""]

							if config.model_type == "t5":
														lowerCamelCase_							  =					"""SelfAttention"""
							if config.model_type == "longt5" and config.encoder_attention_type == "local":
														lowerCamelCase_							  =					"""LocalSelfAttention"""
							elif config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
														lowerCamelCase_							  =					"""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       ):
														lowerCamelCase_							  =					F'''layers_{str(UpperCAmelCase__       )}'''

														# Self-Attention
														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""key"""]["""kernel"""]
														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""out"""]["""kernel"""]
														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""query"""]["""kernel"""]
														lowerCamelCase_							  =					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":
																					lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""T5LayerNorm_0"""]["""scale"""]

														# Layer Normalization
														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""pre_attention_layer_norm"""]["""scale"""]

														if split_mlp_wi:
																					lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi_0"""]["""kernel"""]
																					lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi_1"""]["""kernel"""]
														else:
																					lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi"""]["""kernel"""]

														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wo"""]["""kernel"""]

														# Layer Normalization
														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""][layer_name]["""pre_mlp_layer_norm"""]["""scale"""]

														# Assigning
														lowerCamelCase_							  =					flax_model.params["""encoder"""]["""block"""][str(UpperCAmelCase__       )]["""layer"""]
														lowerCamelCase_							  =					tax_attention_key
														lowerCamelCase_							  =					tax_attention_out
														lowerCamelCase_							  =					tax_attention_query
														lowerCamelCase_							  =					tax_attention_value

														lowerCamelCase_							  =					tax_attention_layer_norm

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

														if split_mlp_wi:
																					lowerCamelCase_							  =					tax_mlp_wi_a
																					lowerCamelCase_							  =					tax_mlp_wi_a
														else:
																					lowerCamelCase_							  =					tax_mlp_wi

														lowerCamelCase_							  =					tax_mlp_wo
														lowerCamelCase_							  =					tax_mlp_layer_norm

														lowerCamelCase_							  =					flax_model_encoder_layer_block

							# Only for layer 0:
							lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""]["""relpos_bias"""]["""rel_embedding"""].T
							lowerCamelCase_							  =					tax_encoder_rel_embedding

							# Side/global relative position_bias + layer norm
							if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
														lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""]["""side_relpos_bias"""]["""rel_embedding"""].T
														lowerCamelCase_							  =					tax_encoder_global_rel_embedding

							# Assigning
							lowerCamelCase_							  =					tax_model["""target"""]["""encoder"""]["""encoder_norm"""]["""scale"""]
							lowerCamelCase_							  =					tax_encoder_norm

							# Decoder
							for layer_index in range(config.num_layers       ):
														lowerCamelCase_							  =					F'''layers_{str(UpperCAmelCase__       )}'''

														# Self-Attention
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""key"""]["""kernel"""]
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""out"""]["""kernel"""]
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""query"""]["""kernel"""]
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""value"""]["""kernel"""]

														# Layer Normalization
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""pre_self_attention_layer_norm"""][
														    """scale"""
														]

														# Encoder-Decoder-Attention
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]
														lowerCamelCase_							  =					tax_enc_dec_attention_module["""key"""]["""kernel"""]
														lowerCamelCase_							  =					tax_enc_dec_attention_module["""out"""]["""kernel"""]
														lowerCamelCase_							  =					tax_enc_dec_attention_module["""query"""]["""kernel"""]
														lowerCamelCase_							  =					tax_enc_dec_attention_module["""value"""]["""kernel"""]

														# Layer Normalization
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""pre_cross_attention_layer_norm"""]["""scale"""]

														# MLP
														if split_mlp_wi:
																					lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi_0"""]["""kernel"""]
																					lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi_1"""]["""kernel"""]
														else:
																					lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi"""]["""kernel"""]

														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wo"""]["""kernel"""]

														# Layer Normalization
														lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""][layer_name]["""pre_mlp_layer_norm"""]["""scale"""]

														# Assigning
														lowerCamelCase_							  =					flax_model.params["""decoder"""]["""block"""][str(UpperCAmelCase__       )]["""layer"""]
														lowerCamelCase_							  =					tax_attention_key
														lowerCamelCase_							  =					tax_attention_out
														lowerCamelCase_							  =					tax_attention_query
														lowerCamelCase_							  =					tax_attention_value

														lowerCamelCase_							  =					tax_pre_attention_layer_norm

														lowerCamelCase_							  =					tax_enc_dec_attention_key
														lowerCamelCase_							  =					tax_enc_dec_attention_out
														lowerCamelCase_							  =					tax_enc_dec_attention_query
														lowerCamelCase_							  =					tax_enc_dec_attention_value

														lowerCamelCase_							  =					tax_cross_layer_norm

														if split_mlp_wi:
																					lowerCamelCase_							  =					tax_mlp_wi_a
																					lowerCamelCase_							  =					tax_mlp_wi_a
														else:
																					lowerCamelCase_							  =					tax_mlp_wi

														lowerCamelCase_							  =					tax_mlp_wo

														lowerCamelCase_							  =					txa_mlp_layer_norm

														lowerCamelCase_							  =					flax_model_decoder_layer_block

							# Decoder Normalization
							lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""]["""decoder_norm"""]["""scale"""]
							lowerCamelCase_							  =					txa_decoder_norm

							# Only for layer 0:
							lowerCamelCase_							  =					tax_model["""target"""]["""decoder"""]["""relpos_bias"""]["""rel_embedding"""].T
							lowerCamelCase_							  =					tax_decoder_rel_embedding

							# Token Embeddings
							lowerCamelCase_							  =					tax_model["""target"""]["""token_embedder"""]["""embedding"""]
							lowerCamelCase_							  =					txa_token_embeddings

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

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


if __name__ == "__main__":
		lowercase        =       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.'''
		)
		lowercase        =       parser.parse_args()
		convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)







from abc import ABC, abstractmethod
from argparse import ArgumentParser





class       __A(				UpperCAmelCase       ):

					@staticmethod
					@abstractmethod
					def    lowercase__      (	__UpperCamelCase					:     ArgumentParser   ):
												raise NotImplementedError()



					@abstractmethod
					def    lowercase__      (	self					:     Any   ):
												raise NotImplementedError()





