

"""simple docstring"""






import argparse

from tax import checkpoints

from transformers import FlaxTaForConditionalGeneration, TaConfig
def       UpperCamelCase					(			_lowerCAmelCase     :						int,  _lowerCAmelCase     :						Any,  _lowerCAmelCase     :						List[str] )				->			Tuple:
	_UpperCAmelCase    :							Tuple									=					TaConfig.from_pretrained(_lowerCAmelCase )
	_UpperCAmelCase    :							Union[str, Any]									=					FlaxTaForConditionalGeneration(config=_lowerCAmelCase )
	_UpperCAmelCase    :							List[str]									=					checkpoints.load_tax_checkpoint(_lowerCAmelCase )

	_UpperCAmelCase    :							List[Any]									=					"""wi_0""" in tax_model["""target"""]["""encoder"""]["""layers_0"""]["""mlp"""]

	# Encoder
	for layer_index in range(config.num_layers ):
		_UpperCAmelCase    :							List[Any]									=					f'''layers_{str(_lowerCAmelCase )}'''

		# Self-Attention
		_UpperCAmelCase    :							Tuple									=					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""key"""]["""kernel"""]
		_UpperCAmelCase    :							Tuple									=					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""out"""]["""kernel"""]
		_UpperCAmelCase    :							int									=					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""query"""]["""kernel"""]
		_UpperCAmelCase    :							Dict									=					tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""value"""]["""kernel"""]

		# Layer Normalization
		_UpperCAmelCase    :							List[str]									=					tax_model["""target"""]["""encoder"""][layer_name]["""pre_attention_layer_norm"""]["""scale"""]

		if split_mlp_wi:
			_UpperCAmelCase    :							List[Any]									=					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi_0"""]["""kernel"""]
			_UpperCAmelCase    :							int									=					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi_1"""]["""kernel"""]
		else:
			_UpperCAmelCase    :							Any									=					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wi"""]["""kernel"""]

		_UpperCAmelCase    :							Dict									=					tax_model["""target"""]["""encoder"""][layer_name]["""mlp"""]["""wo"""]["""kernel"""]

		# Layer Normalization
		_UpperCAmelCase    :							Optional[Any]									=					tax_model["""target"""]["""encoder"""][layer_name]["""pre_mlp_layer_norm"""]["""scale"""]

		# Assigning
		_UpperCAmelCase    :							List[str]									=					tax_attention_key
		_UpperCAmelCase    :							Union[str, Any]									=					tax_attention_out
		_UpperCAmelCase    :							str									=					tax_attention_query
		_UpperCAmelCase    :							Union[str, Any]									=					tax_attention_value

		_UpperCAmelCase    :							int									=					tax_attention_layer_norm

		if split_mlp_wi:
			_UpperCAmelCase    :							List[str]									=					tax_mlp_wi_a
			_UpperCAmelCase    :							int									=					tax_mlp_wi_a
		else:
			_UpperCAmelCase    :							List[str]									=					tax_mlp_wi

		_UpperCAmelCase    :							Union[str, Any]									=					tax_mlp_wo
		_UpperCAmelCase    :							Union[str, Any]									=					tax_mlp_layer_norm

	# Only for layer 0:
	_UpperCAmelCase    :							Optional[int]									=					tax_model["""target"""]["""encoder"""]["""relpos_bias"""]["""rel_embedding"""].T
	_UpperCAmelCase    :							List[Any]									=					tax_encoder_rel_embedding

	# Assigning
	_UpperCAmelCase    :							Optional[int]									=					tax_model["""target"""]["""encoder"""]["""encoder_norm"""]["""scale"""]
	_UpperCAmelCase    :							Dict									=					tax_encoder_norm

	# Decoder
	for layer_index in range(config.num_decoder_layers ):
		_UpperCAmelCase    :							Optional[Any]									=					f'''layers_{str(_lowerCAmelCase )}'''

		# Self-Attention
		_UpperCAmelCase    :							Union[str, Any]									=					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""key"""]["""kernel"""]
		_UpperCAmelCase    :							Optional[Any]									=					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""out"""]["""kernel"""]
		_UpperCAmelCase    :							Any									=					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""query"""]["""kernel"""]
		_UpperCAmelCase    :							List[str]									=					tax_model["""target"""]["""decoder"""][layer_name]["""self_attention"""]["""value"""]["""kernel"""]

		# Layer Normalization
		_UpperCAmelCase    :							str									=					tax_model["""target"""]["""decoder"""][layer_name]["""pre_self_attention_layer_norm"""][
		    """scale"""
		]

		# Encoder-Decoder-Attention
		_UpperCAmelCase    :							Tuple									=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""key"""][
		    """kernel"""
		]
		_UpperCAmelCase    :							Union[str, Any]									=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""out"""][
		    """kernel"""
		]
		_UpperCAmelCase    :							Optional[Any]									=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""query"""][
		    """kernel"""
		]
		_UpperCAmelCase    :							int									=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""value"""][
		    """kernel"""
		]

		# Layer Normalization
		_UpperCAmelCase    :							Union[str, Any]									=					tax_model["""target"""]["""decoder"""][layer_name]["""pre_cross_attention_layer_norm"""]["""scale"""]

		# MLP
		if split_mlp_wi:
			_UpperCAmelCase    :							Optional[int]									=					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi_0"""]["""kernel"""]
			_UpperCAmelCase    :							Dict									=					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi_1"""]["""kernel"""]
		else:
			_UpperCAmelCase    :							List[Any]									=					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wi"""]["""kernel"""]

		_UpperCAmelCase    :							int									=					tax_model["""target"""]["""decoder"""][layer_name]["""mlp"""]["""wo"""]["""kernel"""]

		# Layer Normalization
		_UpperCAmelCase    :							List[str]									=					tax_model["""target"""]["""decoder"""][layer_name]["""pre_mlp_layer_norm"""]["""scale"""]

		# Assigning
		_UpperCAmelCase    :							Optional[Any]									=					tax_attention_key
		_UpperCAmelCase    :							Optional[int]									=					tax_attention_out
		_UpperCAmelCase    :							Any									=					tax_attention_query
		_UpperCAmelCase    :							Any									=					tax_attention_value

		_UpperCAmelCase    :							Tuple									=					tax_pre_attention_layer_norm

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

		_UpperCAmelCase    :							str									=					tax_cross_layer_norm

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

		_UpperCAmelCase    :							Dict									=					tax_mlp_wo

		_UpperCAmelCase    :							Optional[Any]									=					txa_mlp_layer_norm

	# Decoder Normalization
	_UpperCAmelCase    :							Dict									=					tax_model["""target"""]["""decoder"""]["""decoder_norm"""]["""scale"""]
	_UpperCAmelCase    :							Any									=					txa_decoder_norm

	# Only for layer 0:
	_UpperCAmelCase    :							List[str]									=					tax_model["""target"""]["""decoder"""]["""relpos_bias"""]["""rel_embedding"""].T
	_UpperCAmelCase    :							Dict									=					tax_decoder_rel_embedding

	# Token Embeddings
	_UpperCAmelCase    :							Optional[int]									=					tax_model["""target"""]["""token_embedder"""]["""embedding"""]
	_UpperCAmelCase    :							int									=					txa_token_embeddings

	# LM Head (only in v1.1 checkpoints)
	if "logits_dense" in tax_model["target"]["decoder"]:
		_UpperCAmelCase    :							List[str]									=					tax_model["""target"""]["""decoder"""]["""logits_dense"""]["""kernel"""]

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


if __name__ == "__main__":
						lowerCamelCase__				:  Any													=  argparse.ArgumentParser()
						# Required parameters
						parser.add_argument(
						    '''--t5x_checkpoint_path''', default=None, type=str, required=True, help='''Path the TX5 checkpoint.'''
						)
						parser.add_argument('''--config_name''', default=None, type=str, required=True, help='''Config name of T5 model.''')
						parser.add_argument(
						    '''--flax_dump_folder_path''', default=None, type=str, required=True, help='''Path to the output FLAX model.'''
						)
						lowerCamelCase__				:  int													=  parser.parse_args()
						convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)








"""simple docstring"""






import safs






class     _UpperCAmelCase			(		safs.SaFileSystem):
			pass





