"""simple docstring"""







import argparse

from tax import checkpoints

from transformers import FlaxTaForConditionalGeneration, TaConfig



def       A__    (	lowercase_     :	int      , lowercase_     :	Any      , lowercase_     :	Tuple						)  ->							Optional[int]:
   __lowerCamelCase    		=					TaConfig.from_pretrained(UpperCAmelCase__						)
   __lowerCamelCase    		=					FlaxTaForConditionalGeneration(config=UpperCAmelCase__						)
   __lowerCamelCase    		=					checkpoints.load_tax_checkpoint(UpperCAmelCase__						)

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

   # 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"""]

      # 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    		=					tax_attention_key
      __lowerCamelCase    		=					tax_attention_out
      __lowerCamelCase    		=					tax_attention_query
      __lowerCamelCase    		=					tax_attention_value

      __lowerCamelCase    		=					tax_attention_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

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

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

   # Decoder
   for layer_index in range(config.num_decoder_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"""]["""key"""][
          """kernel"""
      ]
      __lowerCamelCase    		=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""out"""][
          """kernel"""
      ]
      __lowerCamelCase    		=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""query"""][
          """kernel"""
      ]
      __lowerCamelCase    		=					tax_model["""target"""]["""decoder"""][layer_name]["""encoder_decoder_attention"""]["""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    		=					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

   # 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 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__":
     _SCREAMING_SNAKE_CASE	:		Optional[int]   =   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.'''
     )
     _SCREAMING_SNAKE_CASE	:		Union[str, Any]   =   parser.parse_args()
     convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)







'''simple docstring'''




_lowercase		:					List[str]													=		"\n# Diffusers installation\n! pip install diffusers transformers datasets accelerate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/diffusers.git\n"

_lowercase		:					Union[str, Any]													=		[{"type": "code", "content": INSTALL_CONTENT}]





