

'''simple docstring'''







import argparse

from tax import checkpoints

from transformers import FlaxTaForConditionalGeneration, TaConfig






def 					_SCREAMING_SNAKE_CASE		(						snake_case_							,       snake_case_							,       snake_case_	):
	_lowercase							=     TaConfig.from_pretrained(snake_case_	)
	_lowercase							=     FlaxTaForConditionalGeneration(config=snake_case_	)
	_lowercase							=     checkpoints.load_tax_checkpoint(snake_case_	)

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

	# Encoder
	for layer_index in range(config.num_layers	):
		_lowercase							=     F"""layers_{str(snake_case_	)}"""

		# Self-Attention
		_lowercase							=     tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""key"""]["""kernel"""]
		_lowercase							=     tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""out"""]["""kernel"""]
		_lowercase							=     tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""query"""]["""kernel"""]
		_lowercase							=     tax_model["""target"""]["""encoder"""][layer_name]["""attention"""]["""value"""]["""kernel"""]

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

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

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

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

		# Assigning
		_lowercase							=     tax_attention_key
		_lowercase							=     tax_attention_out
		_lowercase							=     tax_attention_query
		_lowercase							=     tax_attention_value

		_lowercase							=     tax_attention_layer_norm

		if split_mlp_wi:
			_lowercase							=     tax_mlp_wi_a
			_lowercase							=     tax_mlp_wi_a
		else:
			_lowercase							=     tax_mlp_wi

		_lowercase							=     tax_mlp_wo
		_lowercase							=     tax_mlp_layer_norm

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

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

	# Decoder
	for layer_index in range(config.num_decoder_layers	):
		_lowercase							=     F"""layers_{str(snake_case_	)}"""

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

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

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

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

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

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

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

		# Assigning
		_lowercase							=     tax_attention_key
		_lowercase							=     tax_attention_out
		_lowercase							=     tax_attention_query
		_lowercase							=     tax_attention_value

		_lowercase							=     tax_pre_attention_layer_norm

		_lowercase							=     tax_enc_dec_attention_key
		_lowercase							=     tax_enc_dec_attention_out
		_lowercase							=     tax_enc_dec_attention_query
		_lowercase							=     tax_enc_dec_attention_value

		_lowercase							=     tax_cross_layer_norm

		if split_mlp_wi:
			_lowercase							=     tax_mlp_wi_a
			_lowercase							=     tax_mlp_wi_a
		else:
			_lowercase							=     tax_mlp_wi

		_lowercase							=     tax_mlp_wo

		_lowercase							=     txa_mlp_layer_norm

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

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

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

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

	flax_model.save_pretrained(snake_case_	)
	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 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    =  parser.parse_args()
							convert_tax_checkpoint_to_flax(args.tax_checkpoint_path, args.config_name, args.flax_dump_folder_path)







'''simple docstring'''







from collections import namedtuple

_lowerCamelCase    =  namedtuple('from_to', 'from_ to')

_lowerCamelCase    =  {
    'millimeter': 'mm',
    'centimeter': 'cm',
    'meter': 'm',
    'kilometer': 'km',
    'inch': 'in',
    'inche': 'in',  # Trailing 's' has been stripped off
    'feet': 'ft',
    'foot': 'ft',
    'yard': 'yd',
    'mile': 'mi',
}

_lowerCamelCase    =  {
    'mm': from_to(0.001, 1_0_0_0),
    'cm': from_to(0.01, 1_0_0),
    'm': from_to(1, 1),
    'km': from_to(1_0_0_0, 0.001),
    'in': from_to(0.0254, 39.3701),
    'ft': from_to(0.3048, 3.2_8084),
    'yd': from_to(0.9144, 1.0_9361),
    'mi': from_to(1609.34, 0.0_0062_1371),
}






def 					_SCREAMING_SNAKE_CASE		(						snake_case_							,       snake_case_							,       snake_case_	):
	_lowercase							=     from_type.lower().rstrip("""s"""	)
	_lowercase							=     TYPE_CONVERSION.get(snake_case_							,       snake_case_	)
	_lowercase							=     to_type.lower().rstrip("""s"""	)
	_lowercase							=     TYPE_CONVERSION.get(snake_case_							,       snake_case_	)
	if new_from not in METRIC_CONVERSION:
		_lowercase							=     (
		    F"""Invalid 'from_type' value: {from_type!r}.\n"""
		    F"""Conversion abbreviations are: {", ".join(snake_case_	)}"""
		)
		raise ValueError(snake_case_	)
	if new_to not in METRIC_CONVERSION:
		_lowercase							=     (
		    F"""Invalid 'to_type' value: {to_type!r}.\n"""
		    F"""Conversion abbreviations are: {", ".join(snake_case_	)}"""
		)
		raise ValueError(snake_case_	)
	return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
							import doctest

							doctest.testmod()




