
"""simple docstring"""
import argparse

from tax import checkpoints

from transformers import FlaxTaForConditionalGeneration, TaConfig

def 				lowercase      (_lowerCAmelCase				,  _lowerCAmelCase				,  _lowerCAmelCase		):
						__lowerCAmelCase        =       TaConfig.from_pretrained(_lowerCAmelCase		)
						__lowerCAmelCase        =       FlaxTaForConditionalGeneration(config=_lowerCAmelCase		)
						__lowerCAmelCase        =       checkpoints.load_tax_checkpoint(_lowerCAmelCase		)

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

						# Encoder
						for layer_index in range(config.num_layers		):
												__lowerCAmelCase        =       f"""layers_{str(_lowerCAmelCase		)}"""

												# 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(_lowerCAmelCase		)}"""

												# 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(_lowerCAmelCase		)
						print("""T5X Model was sucessfully converted!"""		)


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


"""simple docstring"""
import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
			import torch
class      lowerCAmelCase_						(							unittest.TestCase							,							A__				):



							'''simple docstring'''





							def  A__		(				self							)   ->       Any:
													__lowerCAmelCase        =       load_tool("""speech-to-text"""							)
													self.tool.setup()




							def  A__		(				self							)   ->       int:
													__lowerCAmelCase        =       self.tool(torch.ones(3_000							)							)
													self.assertEqual(snake_case_  ,							""" you"""							)




							def  A__		(				self							)   ->       Optional[int]:
													__lowerCAmelCase        =       self.tool(audio=torch.ones(3_000							)							)
													self.assertEqual(snake_case_  ,							""" you"""							)
