"""simple docstring"""


import argparse

from tax import checkpoints

from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   AutoConfig.from_pretrained(lowercase		)
  _UpperCAmelCase    			=   FlaxAutoModelForSeqaSeqLM.from_config(config=lowercase		)
  _UpperCAmelCase    			=   checkpoints.load_tax_checkpoint(lowercase		)

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

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

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

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

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

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

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

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

    _UpperCAmelCase    			=   tax_attention_layer_norm

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

    if split_mlp_wi:
      _UpperCAmelCase    			=   tax_mlp_wi_a
      _UpperCAmelCase    			=   tax_mlp_wi_a
    else:
      _UpperCAmelCase    			=   tax_mlp_wi

    _UpperCAmelCase    			=   tax_mlp_wo
    _UpperCAmelCase    			=   tax_mlp_layer_norm

    _UpperCAmelCase    			=   flax_model_encoder_layer_block

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

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

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

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

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

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

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

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

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

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

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

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

    _UpperCAmelCase    			=   tax_pre_attention_layer_norm

    _UpperCAmelCase    			=   tax_enc_dec_attention_key
    _UpperCAmelCase    			=   tax_enc_dec_attention_out
    _UpperCAmelCase    			=   tax_enc_dec_attention_query
    _UpperCAmelCase    			=   tax_enc_dec_attention_value

    _UpperCAmelCase    			=   tax_cross_layer_norm

    if split_mlp_wi:
      _UpperCAmelCase    			=   tax_mlp_wi_a
      _UpperCAmelCase    			=   tax_mlp_wi_a
    else:
      _UpperCAmelCase    			=   tax_mlp_wi

    _UpperCAmelCase    			=   tax_mlp_wo

    _UpperCAmelCase    			=   txa_mlp_layer_norm

    _UpperCAmelCase    			=   flax_model_decoder_layer_block

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

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

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

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

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


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

"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__			=    logging.get_logger(__name__)


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	List[Any]  				=				'timm_backbone'


    def __init__(       self						:	List[Any] ,					__lowerCAmelCase						:	str=None ,					__lowerCAmelCase						:	Optional[int]=3 ,					__lowerCAmelCase						:	Any=True ,					__lowerCAmelCase						:	Optional[int]=True ,					__lowerCAmelCase						:	Optional[Any]=None ,					**__lowerCAmelCase						:	Optional[Any] ,					):
      super().__init__(**__lowerCAmelCase       )
      _UpperCAmelCase    			=   backbone
      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   features_only
      _UpperCAmelCase    			=   use_pretrained_backbone
      _UpperCAmelCase    			=   True
      _UpperCAmelCase    			=   out_indices if out_indices is not None else (-1,)
