




import argparse

from tax import checkpoints

from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase,			lowerCamelCase   ):
  lowercase    :List[Any]      	=						AutoConfig.from_pretrained(lowerCamelCase_   )
  lowercase    :Tuple      	=						FlaxAutoModelForSeqaSeqLM.from_config(config=lowerCamelCase_   )
  lowercase    :Union[str, Any]      	=						checkpoints.load_tax_checkpoint(lowerCamelCase_   )

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

  if config.model_type == "t5":
    lowercase    :Union[str, Any]      	=						'SelfAttention'
  if config.model_type == "longt5" and config.encoder_attention_type == "local":
    lowercase    :Dict      	=						'LocalSelfAttention'
  elif config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
    lowercase    :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   ):
    lowercase    :int      	=						F"layers_{str(lowerCamelCase_   )}"

    # Self-Attention
    lowercase    :Any      	=						tax_model['target']['encoder'][layer_name]['attention']['key']['kernel']
    lowercase    :Optional[int]      	=						tax_model['target']['encoder'][layer_name]['attention']['out']['kernel']
    lowercase    :Optional[int]      	=						tax_model['target']['encoder'][layer_name]['attention']['query']['kernel']
    lowercase    :Optional[Any]      	=						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    :Optional[int]      	=						tax_model['target']['encoder'][layer_name]['attention']['T5LayerNorm_0']['scale']

    # Layer Normalization
    lowercase    :int      	=						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    :Dict      	=						tax_model['target']['encoder'][layer_name]['mlp']['wi_1']['kernel']
    else:
      lowercase    :Union[str, Any]      	=						tax_model['target']['encoder'][layer_name]['mlp']['wi']['kernel']

    lowercase    :List[str]      	=						tax_model['target']['encoder'][layer_name]['mlp']['wo']['kernel']

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

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

    lowercase    :str      	=						tax_attention_layer_norm

    # Global input layer norm
    if config.model_type == "longt5" and config.encoder_attention_type == "transient-global":
      lowercase    :Union[str, Any]      	=						tax_global_layer_norm

    if split_mlp_wi:
      lowercase    :int      	=						tax_mlp_wi_a
      lowercase    :int      	=						tax_mlp_wi_a
    else:
      lowercase    :str      	=						tax_mlp_wi

    lowercase    :Tuple      	=						tax_mlp_wo
    lowercase    :Union[str, Any]      	=						tax_mlp_layer_norm

    lowercase    :Any      	=						flax_model_encoder_layer_block

  # Only for layer 0:
  lowercase    :str      	=						tax_model['target']['encoder']['relpos_bias']['rel_embedding'].T
  lowercase    :Tuple      	=						tax_encoder_rel_embedding

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

  # Assigning
  lowercase    :Dict      	=						tax_model['target']['encoder']['encoder_norm']['scale']
  lowercase    :str      	=						tax_encoder_norm

  # Decoder
  for layer_index in range(config.num_layers   ):
    lowercase    :List[Any]      	=						F"layers_{str(lowerCamelCase_   )}"

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

    # Layer Normalization
    lowercase    :Optional[Any]      	=						tax_model['target']['decoder'][layer_name]['pre_self_attention_layer_norm'][
        'scale'
    ]

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

    # Layer Normalization
    lowercase    :List[Any]      	=						tax_model['target']['decoder'][layer_name]['pre_cross_attention_layer_norm']['scale']

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

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

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

    # Assigning
    lowercase    :List[str]      	=						flax_model.params['decoder']['block'][str(lowerCamelCase_   )]['layer']
    lowercase    :List[Any]      	=						tax_attention_key
    lowercase    :int      	=						tax_attention_out
    lowercase    :Tuple      	=						tax_attention_query
    lowercase    :Dict      	=						tax_attention_value

    lowercase    :int      	=						tax_pre_attention_layer_norm

    lowercase    :Optional[int]      	=						tax_enc_dec_attention_key
    lowercase    :List[Any]      	=						tax_enc_dec_attention_out
    lowercase    :int      	=						tax_enc_dec_attention_query
    lowercase    :Dict      	=						tax_enc_dec_attention_value

    lowercase    :Tuple      	=						tax_cross_layer_norm

    if split_mlp_wi:
      lowercase    :int      	=						tax_mlp_wi_a
      lowercase    :Dict      	=						tax_mlp_wi_a
    else:
      lowercase    :int      	=						tax_mlp_wi

    lowercase    :Any      	=						tax_mlp_wo

    lowercase    :Any      	=						txa_mlp_layer_norm

    lowercase    :Tuple      	=						flax_model_decoder_layer_block

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

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

  # Token Embeddings
  lowercase    :Dict      	=						tax_model['target']['token_embedder']['embedding']
  lowercase    :int      	=						txa_token_embeddings

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

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


if __name__ == "__main__":
     _UpperCAmelCase	:						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."
     )
     _UpperCAmelCase	:						Optional[Any]			=     parser.parse_args()
     convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)









def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase   ):
  return int((input_a, input_a).count(0   ) != 0   )



def       UpperCAmelCase__  (     ):
  assert nand_gate(0,			0   ) == 1
  assert nand_gate(0,			1   ) == 1
  assert nand_gate(1,			0   ) == 1
  assert nand_gate(1,			1   ) == 0


if __name__ == "__main__":
     print(nand_gate(0, 0))
     print(nand_gate(0, 1))
     print(nand_gate(1, 0))
     print(nand_gate(1, 1))



