






'''simple docstring'''





import argparse
from typing import Dict

import tensorflow as tf
import torch
from tqdm import tqdm

from transformers import BigBirdPegasusConfig, BigBirdPegasusForConditionalGeneration


snake_case__      :	List[Any]       	=      [
    # tf -> hf
    ('/', '.'),
    ('layer_', 'layers.'),
    ('kernel', 'weight'),
    ('beta', 'bias'),
    ('gamma', 'weight'),
    ('pegasus', 'model'),
]
snake_case__      :	Union[str, Any]       	=      [
    ('.output.dense', '.fc2'),
    ('intermediate.LayerNorm', 'final_layer_norm'),
    ('intermediate.dense', 'fc1'),
]

snake_case__      :	List[Any]       	=      (
    INIT_COMMON
    + [
        ('attention.self.LayerNorm', 'self_attn_layer_norm'),
        ('attention.output.dense', 'self_attn.out_proj'),
        ('attention.self', 'self_attn'),
        ('attention.encdec.LayerNorm', 'encoder_attn_layer_norm'),
        ('attention.encdec_output.dense', 'encoder_attn.out_proj'),
        ('attention.encdec', 'encoder_attn'),
        ('key', 'k_proj'),
        ('value', 'v_proj'),
        ('query', 'q_proj'),
        ('decoder.LayerNorm', 'decoder.layernorm_embedding'),
    ]
    + END_COMMON
)

snake_case__      :	Optional[int]       	=      (
    INIT_COMMON
    + [
        ('embeddings.word_embeddings', 'shared.weight'),
        ('embeddings.position_embeddings', 'embed_positions.weight'),
        ('attention.self.LayerNorm', 'self_attn_layer_norm'),
        ('attention.output.dense', 'self_attn.output'),
        ('attention.self', 'self_attn.self'),
        ('encoder.LayerNorm', 'encoder.layernorm_embedding'),
    ]
    + END_COMMON
)

snake_case__      :	Tuple       	=      [
    'encdec/key/bias',
    'encdec/query/bias',
    'encdec/value/bias',
    'self/key/bias',
    'self/query/bias',
    'self/value/bias',
    'encdec_output/dense/bias',
    'attention/output/dense/bias',
]






def     _snake_case    (__lowercase    ,      __lowercase):




   for tf_name, hf_name in patterns:
      UpperCamelCase_									=     k.replace(_lowerCAmelCase    ,      _lowerCAmelCase)
   return k






def     _snake_case    (__lowercase    ,      __lowercase):
   UpperCamelCase_									=     BigBirdPegasusConfig(**_lowerCAmelCase)
   UpperCamelCase_									=     BigBirdPegasusForConditionalGeneration(_lowerCAmelCase)
   UpperCamelCase_									=     torch_model.state_dict()
   UpperCamelCase_									=     {}

   # separating decoder weights
   UpperCamelCase_									=     {k: tf_weights[k] for k in tf_weights if k.startswith('pegasus/decoder')}
   UpperCamelCase_									=     {k: tf_weights[k] for k in tf_weights if not k.startswith('pegasus/decoder')}

   for k, v in tqdm(decoder_weights.items()    ,      'tf -> hf conversion'):
      UpperCamelCase_									=     [k.endswith(_lowerCAmelCase) for ending in KEYS_TO_IGNORE]
      if any(_lowerCAmelCase):
         continue
      UpperCamelCase_									=     DECODER_PATTERNS
      UpperCamelCase_									=     rename_state_dict_key(_lowerCAmelCase    ,      _lowerCAmelCase)
      if new_k not in state_dict:
         raise ValueError(f"""could not find new key {new_k} in state dict. (converted from {k})""")
      if any(True if i in k else False for i in ['dense', 'query', 'key', 'value']):
         UpperCamelCase_									=     v.T
      UpperCamelCase_									=     torch.from_numpy(_lowerCAmelCase)
      assert v.shape == state_dict[new_k].shape, f"""{new_k}, {k}, {v.shape}, {state_dict[new_k].shape}"""

   for k, v in tqdm(remaining_weights.items()    ,      'tf -> hf conversion'):
      UpperCamelCase_									=     [k.endswith(_lowerCAmelCase) for ending in KEYS_TO_IGNORE]
      if any(_lowerCAmelCase):
         continue
      UpperCamelCase_									=     REMAINING_PATTERNS
      UpperCamelCase_									=     rename_state_dict_key(_lowerCAmelCase    ,      _lowerCAmelCase)
      if new_k not in state_dict and k != "pegasus/embeddings/position_embeddings":
         raise ValueError(f"""could not find new key {new_k} in state dict. (converted from {k})""")
      if any(True if i in k else False for i in ['dense', 'query', 'key', 'value']):
         UpperCamelCase_									=     v.T
      UpperCamelCase_									=     torch.from_numpy(_lowerCAmelCase)
      if k != "pegasus/embeddings/position_embeddings":
         assert v.shape == state_dict[new_k].shape, f"""{new_k}, {k}, {v.shape}, {state_dict[new_k].shape}"""

   UpperCamelCase_									=     mapping["model.embed_positions.weight"]
   UpperCamelCase_									=     mapping.pop('model.embed_positions.weight')
   UpperCamelCase_									=     torch_model.load_state_dict(_lowerCAmelCase    ,      strict=_lowerCAmelCase)
   UpperCamelCase_									=     [
       k
       for k in missing
       if k
       not in [
           "final_logits_bias",
           "model.encoder.embed_tokens.weight",
           "model.decoder.embed_tokens.weight",
           "lm_head.weight",
       ]
   ]
   assert unexpected_missing == [], f"""no matches found for the following torch keys {unexpected_missing}"""
   assert extra == [], f"""no matches found for the following tf keys {extra}"""
   return torch_model






def     _snake_case    (__lowercase):
   UpperCamelCase_									=     tf.train.list_variables(_lowerCAmelCase)
   UpperCamelCase_									=     {}
   UpperCamelCase_									=     ["global_step"]
   for name, shape in tqdm(_lowerCAmelCase    ,      desc='converting tf checkpoint to dict'):
      UpperCamelCase_									=     any(pat in name for pat in ignore_name)
      if skip_key:
         continue
      UpperCamelCase_									=     tf.train.load_variable(_lowerCAmelCase    ,      _lowerCAmelCase)
      UpperCamelCase_									=     array
   return tf_weights






def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_tf_weights_as_numpy(_lowerCAmelCase)
   UpperCamelCase_									=     convert_bigbird_pegasus(_lowerCAmelCase    ,      _lowerCAmelCase)
   torch_model.save_pretrained(_lowerCAmelCase)


if __name__ == "__main__":
 snake_case__      :	Dict       	=      argparse.ArgumentParser()
 parser.add_argument("""--tf_ckpt_path""", type=str, help="""passed to tf.train.list_variables""")
 parser.add_argument("""--save_dir""", default=None, type=str, help="""Path to the output PyTorch model.""")
 snake_case__      :	str       	=      parser.parse_args()
 snake_case__      :	Dict       	=      {}
 convert_bigbird_pegasus_ckpt_to_pytorch(args.tf_ckpt_path, args.save_dir, config_update=config_update)













import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command


class 						_a       (  unittest.TestCase    ):






  """simple docstring"""





  A_						=   inspect.getfile(accelerate.test_utils    )
  A_						=   os.path.sep.join(mod_file.split(os.path.sep    )[:-1] + ["""scripts""", """test_cli.py"""]    )

  A_						=   ["""accelerate""", """launch"""]
  A_						=   Path.home() / """.cache/huggingface/accelerate"""
  A_						=   """default_config.yaml"""
  A_						=   config_folder / config_file
  A_						=   config_folder / """_default_config.yaml"""

  A_						=   Path("""tests/test_configs"""    )




  @classmethod
  def    _UpperCAmelCase     (     cls )			-> Union[str, Any]:
     if cls.config_path.is_file():
        cls.config_path.rename(cls.changed_path )




  @classmethod
  def    _UpperCAmelCase     (     cls )			-> List[str]:
     if cls.changed_path.is_file():
        cls.changed_path.rename(cls.config_path )




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     self.base_cmd
     if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
        cmd += ["--multi_gpu"]
     execute_subprocess_async(cmd + [self.test_file_path]		,		env=os.environ.copy() )




  def    _UpperCAmelCase     (     self )			-> Optional[int]:
     for config in sorted(self.test_config_path.glob('**/*.yaml' ) ):
        with self.subTest(config_file=_UpperCAmelCase ):
           execute_subprocess_async(
               self.base_cmd + ['--config_file', str(_UpperCAmelCase ), self.test_file_path]		,		env=os.environ.copy() )




  def    _UpperCAmelCase     (     self )			-> Tuple:
     execute_subprocess_async(['accelerate', 'test']		,		env=os.environ.copy() )




class 						_a       (  unittest.TestCase    ):






  """simple docstring"""





  A_						=   """test-tpu"""
  A_						=   """us-central1-a"""
  A_						=   """ls"""
  A_						=   ["""accelerate""", """tpu-config"""]
  A_						=   """cd /usr/share"""
  A_						=   """tests/test_samples/test_command_file.sh"""
  A_						=   """Running gcloud compute tpus tpu-vm ssh"""




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     run_command(
         self.cmd
         + ['--command', self.command, '--tpu_zone', self.tpu_zone, '--tpu_name', self.tpu_name, '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/0_12_0.yaml',
             '--command',
             self.command,
             '--tpu_zone',
             self.tpu_zone,
             '--tpu_name',
             self.tpu_name,
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Any:
     UpperCamelCase_									=     run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--debug']		,		return_stdout=_UpperCAmelCase )
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Tuple:
     UpperCamelCase_									=     run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--command', self.command, '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/latest.yaml',
             '--command',
             self.command,
             '--command',
             'echo "Hello World"',
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Dict:
     UpperCamelCase_									=     run_command(
         self.cmd
         + ['--config_file', 'tests/test_configs/latest.yaml', '--command_file', self.command_file, '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Dict:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/0_12_0.yaml',
             '--command_file',
             self.command_file,
             '--tpu_zone',
             self.tpu_zone,
             '--tpu_name',
             self.tpu_name,
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> List[Any]:
     UpperCamelCase_									=     run_command(
         self.cmd + ['--config_file', 'tests/test_configs/latest.yaml', '--install_accelerate', '--debug']		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     run_command(
         self.cmd
         + [
             '--config_file',
             'tests/test_configs/latest.yaml',
             '--install_accelerate',
             '--accelerate_version',
             '12.0.0',
             '--debug',
         ]		,		return_stdout=_UpperCAmelCase		,		)
     self.assertIn(
         f"""{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo \"hello world\"; echo \"this is a second command\" --worker all"""		,		_UpperCAmelCase		,		)





