


import argparse

from tax import checkpoints

from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a	):




		"""simple docstring"""






		lowerCAmelCase__       :      Tuple   					= AutoConfig.from_pretrained(_a	)
		lowerCAmelCase__       :      List[str]   					= FlaxAutoModelForSeqaSeqLM.from_config(config=_a	)
		lowerCAmelCase__       :      Optional[Any]   					= checkpoints.load_tax_checkpoint(_a	)

		lowerCAmelCase__       :      List[str]   					= '''wi_0''' in tax_model['''target''']['''encoder''']['''layers_0''']['''mlp''']

		if config.model_type == "t5":
				lowerCAmelCase__       :      int   					= '''SelfAttention'''
		if config.model_type == "longt5" and config.encoder_attention_type == "local":
				lowerCAmelCase__       :      int   					= '''LocalSelfAttention'''
		elif config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
				lowerCAmelCase__       :      Dict   					= '''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__       :      List[Any]   					= f'layers_{str(_a	)}'

				# Self-Attention
				lowerCAmelCase__       :      str   					= tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''key''']['''kernel''']
				lowerCAmelCase__       :      int   					= tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''out''']['''kernel''']
				lowerCAmelCase__       :      int   					= tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''query''']['''kernel''']
				lowerCAmelCase__       :      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":
						lowerCAmelCase__       :      List[str]   					= tax_model['''target''']['''encoder'''][layer_name]['''attention''']['''T5LayerNorm_0''']['''scale''']

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

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

				lowerCAmelCase__       :      Any   					= tax_model['''target''']['''encoder'''][layer_name]['''mlp''']['''wo''']['''kernel''']

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

				# Assigning
				lowerCAmelCase__       :      Union[str, Any]   					= flax_model.params['''encoder''']['''block'''][str(_a	)]['''layer''']
				lowerCAmelCase__       :      List[str]   					= tax_attention_key
				lowerCAmelCase__       :      Optional[Any]   					= tax_attention_out
				lowerCAmelCase__       :      Tuple   					= tax_attention_query
				lowerCAmelCase__       :      Optional[int]   					= tax_attention_value

				lowerCAmelCase__       :      List[str]   					= tax_attention_layer_norm

				# Global input layer norm
				if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
						lowerCAmelCase__       :      Optional[int]   					= tax_global_layer_norm

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

				lowerCAmelCase__       :      List[str]   					= tax_mlp_wo
				lowerCAmelCase__       :      Optional[int]   					= tax_mlp_layer_norm

				lowerCAmelCase__       :      List[str]   					= flax_model_encoder_layer_block

		# Only for layer 0:
		lowerCAmelCase__       :      Optional[int]   					= tax_model['''target''']['''encoder''']['''relpos_bias''']['''rel_embedding'''].T
		lowerCAmelCase__       :      Union[str, Any]   					= tax_encoder_rel_embedding

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

		# Assigning
		lowerCAmelCase__       :      Any   					= tax_model['''target''']['''encoder''']['''encoder_norm''']['''scale''']
		lowerCAmelCase__       :      Union[str, Any]   					= tax_encoder_norm

		# Decoder
		for layer_index in range(config.num_layers	):
				lowerCAmelCase__       :      str   					= f'layers_{str(_a	)}'

				# Self-Attention
				lowerCAmelCase__       :      Optional[Any]   					= tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''key''']['''kernel''']
				lowerCAmelCase__       :      Optional[Any]   					= tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''out''']['''kernel''']
				lowerCAmelCase__       :      Any   					= tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''query''']['''kernel''']
				lowerCAmelCase__       :      Any   					= tax_model['''target''']['''decoder'''][layer_name]['''self_attention''']['''value''']['''kernel''']

				# Layer Normalization
				lowerCAmelCase__       :      List[Any]   					= tax_model['''target''']['''decoder'''][layer_name]['''pre_self_attention_layer_norm'''][
				    '''scale'''
				]

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

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

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

				lowerCAmelCase__       :      List[str]   					= tax_model['''target''']['''decoder'''][layer_name]['''mlp''']['''wo''']['''kernel''']

				# Layer Normalization
				lowerCAmelCase__       :      int   					= tax_model['''target''']['''decoder'''][layer_name]['''pre_mlp_layer_norm''']['''scale''']

				# Assigning
				lowerCAmelCase__       :      Optional[int]   					= flax_model.params['''decoder''']['''block'''][str(_a	)]['''layer''']
				lowerCAmelCase__       :      Optional[Any]   					= tax_attention_key
				lowerCAmelCase__       :      List[Any]   					= tax_attention_out
				lowerCAmelCase__       :      Optional[int]   					= tax_attention_query
				lowerCAmelCase__       :      List[str]   					= tax_attention_value

				lowerCAmelCase__       :      str   					= tax_pre_attention_layer_norm

				lowerCAmelCase__       :      str   					= tax_enc_dec_attention_key
				lowerCAmelCase__       :      Dict   					= tax_enc_dec_attention_out
				lowerCAmelCase__       :      Union[str, Any]   					= tax_enc_dec_attention_query
				lowerCAmelCase__       :      Any   					= tax_enc_dec_attention_value

				lowerCAmelCase__       :      List[Any]   					= tax_cross_layer_norm

				if split_mlp_wi:
						lowerCAmelCase__       :      List[str]   					= tax_mlp_wi_a
						lowerCAmelCase__       :      List[str]   					= tax_mlp_wi_a
				else:
						lowerCAmelCase__       :      Union[str, Any]   					= tax_mlp_wi

				lowerCAmelCase__       :      Any   					= tax_mlp_wo

				lowerCAmelCase__       :      Optional[Any]   					= txa_mlp_layer_norm

				lowerCAmelCase__       :      Union[str, Any]   					= flax_model_decoder_layer_block

		# Decoder Normalization
		lowerCAmelCase__       :      List[Any]   					= tax_model['''target''']['''decoder''']['''decoder_norm''']['''scale''']
		lowerCAmelCase__       :      Dict   					= txa_decoder_norm

		# Only for layer 0:
		lowerCAmelCase__       :      List[str]   					= tax_model['''target''']['''decoder''']['''relpos_bias''']['''rel_embedding'''].T
		lowerCAmelCase__       :      Optional[Any]   					= tax_decoder_rel_embedding

		# Token Embeddings
		lowerCAmelCase__       :      Optional[int]   					= tax_model['''target''']['''token_embedder''']['''embedding''']
		lowerCAmelCase__       :      List[Any]   					= txa_token_embeddings

		# LM Head (only in v1.1 and LongT5 checkpoints)
		if "logits_dense" in tax_model["target"]["decoder"]:
				lowerCAmelCase__       :      Union[str, Any]   					= tax_model['''target''']['''decoder''']['''logits_dense''']['''kernel''']

		flax_model.save_pretrained(_a	)
		print('''T5X Model was sucessfully converted!'''	)


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








from __future__ import annotations






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a     ,       _a	):  # noqa: E741




		"""simple docstring"""






		while r - l > 1:
				lowerCAmelCase__       :      Any   					= (l + r) // 2
				if v[m] >= key:
						lowerCAmelCase__       :      int   					= m
				else:
						lowerCAmelCase__       :      Tuple   					= m  # noqa: E741
		return r






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		if len(_a	) == 0:
				return 0

		lowerCAmelCase__       :      Optional[int]   					= [0] * len(_a	)
		lowerCAmelCase__       :      List[Any]   					= 1

		lowerCAmelCase__       :      int   					= v[0]

		for i in range(1     ,       len(_a	)	):
				if v[i] < tail[0]:
						lowerCAmelCase__       :      str   					= v[i]
				elif v[i] > tail[length - 1]:
						lowerCAmelCase__       :      Any   					= v[i]
						length += 1
				else:
						lowerCAmelCase__       :      int   					= v[i]

		return length


if __name__ == "__main__":
		import doctest

		doctest.testmod()




