
"""simple docstring"""


import unittest

from diffusers import __version__
from diffusers.utils import deprecate







class 		lowerCamelCase__					(					unittest.TestCase				):





			'''simple docstring'''
			lowerCamelCase  					=		'''.'''.join([str(int(__version__.split('''.'''				)[0]				) + 1				)] + __version__.split('''.'''				)[1:]				)
			lowerCamelCase  					=		'''0.0.1'''



			def 					_lowerCAmelCase		(							self  ) ->     Optional[int]:
				_lowerCAmelCase								={"""deprecated_arg""": 4}

				with self.assertWarns(__UpperCAmelCase  ) as warning:
					_lowerCAmelCase								=deprecate("""deprecated_arg"""     ,     self.higher_version     ,     """message"""     ,     take_from=__UpperCAmelCase  )

				assert output == 4
				assert (
				    str(warning.warning  )
				    == f'''The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}.'''
				    " message"
				)



			def 					_lowerCAmelCase		(							self  ) ->     Tuple:
				_lowerCAmelCase								={"""deprecated_arg""": 4}

				with self.assertWarns(__UpperCAmelCase  ) as warning:
					_lowerCAmelCase								=deprecate(("""deprecated_arg""", self.higher_version, """message""")     ,     take_from=__UpperCAmelCase  )

				assert output == 4
				assert (
				    str(warning.warning  )
				    == f'''The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}.'''
				    " message"
				)



			def 					_lowerCAmelCase		(							self  ) ->     List[Any]:
				_lowerCAmelCase								={"""deprecated_arg_1""": 4, """deprecated_arg_2""": 8}
				with self.assertWarns(__UpperCAmelCase  ) as warning:
					_lowerCAmelCase						,							_lowerCAmelCase								=deprecate(
					    ("""deprecated_arg_1""", self.higher_version, """Hey""")     ,     ("""deprecated_arg_2""", self.higher_version, """Hey""")     ,     take_from=__UpperCAmelCase     ,     )
				assert output_a == 4
				assert output_a == 8
				assert (
				    str(warning.warnings[0].message  )
				    == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
				    f''' {self.higher_version}. Hey'''
				)
				assert (
				    str(warning.warnings[1].message  )
				    == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
				    f''' {self.higher_version}. Hey'''
				)



			def 					_lowerCAmelCase		(							self  ) ->     Dict:
				_lowerCAmelCase								={"""deprecated_arg""": 4}

				with self.assertRaises(__UpperCAmelCase  ) as error:
					deprecate(("""wrong_arg""", self.higher_version, """message""")     ,     take_from=__UpperCAmelCase  )

				assert "test_deprecate_function_incorrect_arg in" in str(error.exception  )
				assert "line" in str(error.exception  )
				assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception  )



			def 					_lowerCAmelCase		(							self  ) ->     Union[str, Any]:
				with self.assertWarns(__UpperCAmelCase  ) as warning:
					deprecate(("""deprecated_arg""", self.higher_version, """message""")  )

				assert (
				    str(warning.warning  )
				    == f'''`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message'''
				)



			def 					_lowerCAmelCase		(							self  ) ->     Dict:
				with self.assertWarns(__UpperCAmelCase  ) as warning:
					deprecate(
					    ("""deprecated_arg_1""", self.higher_version, """Hey""")     ,     ("""deprecated_arg_2""", self.higher_version, """Hey""")     ,     )
				assert (
				    str(warning.warnings[0].message  )
				    == f'''`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey'''
				)
				assert (
				    str(warning.warnings[1].message  )
				    == f'''`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey'''
				)



			def 					_lowerCAmelCase		(							self  ) ->     Dict:







				class 		lowerCamelCase__					:





							'''simple docstring'''
							lowerCamelCase  					=		5

				with self.assertWarns(__UpperCAmelCase  ) as warning:
					_lowerCAmelCase								=deprecate(("""arg""", self.higher_version, """message""")     ,     take_from=Args()  )

				assert arg == 5
				assert (
				    str(warning.warning  )
				    == f'''The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'''
				)



			def 					_lowerCAmelCase		(							self  ) ->     Any:







				class 		lowerCamelCase__					:





							'''simple docstring'''
							lowerCamelCase  					=		5
							lowerCamelCase  					=		7

				with self.assertWarns(__UpperCAmelCase  ) as warning:
					_lowerCAmelCase						,							_lowerCAmelCase								=deprecate(
					    ("""arg""", self.higher_version, """message""")     ,     ("""foo""", self.higher_version, """message""")     ,     ("""does not exist""", self.higher_version, """message""")     ,     take_from=Args()     ,     )

				assert arg_a == 5
				assert arg_a == 7
				assert (
				    str(warning.warning  )
				    == f'''The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'''
				)
				assert (
				    str(warning.warnings[0].message  )
				    == f'''The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'''
				)
				assert (
				    str(warning.warnings[1].message  )
				    == f'''The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message'''
				)



			def 					_lowerCAmelCase		(							self  ) ->     str:
				_lowerCAmelCase								={"""deprecated_arg""": 4}

				with self.assertRaises(__UpperCAmelCase  ) as error:
					deprecate(("""wrong_arg""", self.lower_version, """message""")     ,     take_from=__UpperCAmelCase  )

				assert (
				    str(error.exception  )
				    == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
				    f''' {__version__} is >= {self.lower_version}'''
				)



			def 					_lowerCAmelCase		(							self  ) ->     List[str]:
				with self.assertWarns(__UpperCAmelCase  ) as warning:
					deprecate(("""deprecated_arg""", self.higher_version, """This message is better!!!""")     ,     standard_warn=__UpperCAmelCase  )

				assert str(warning.warning  ) == "This message is better!!!"



			def 					_lowerCAmelCase		(							self  ) ->     Optional[Any]:
				with self.assertWarns(__UpperCAmelCase  ) as warning:
					deprecate(("""deprecated_arg""", self.higher_version, """This message is better!!!""")     ,     standard_warn=__UpperCAmelCase  )
				assert str(warning.warning  ) == "This message is better!!!"
				assert "diffusers/tests/others/test_utils.py" in warning.filename










"""simple docstring"""


import argparse

import torch

from transformers import ImageGPTConfig, ImageGPTForCausalLM, load_tf_weights_in_imagegpt
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()




def     lowercase__			(    lowercase_						,lowercase_						,lowercase_	)    ->						Union[str, Any]:




      """simple docstring"""

      _UpperCamelCase					:		Optional[int]  =				{"small": (512, 8, 24), "medium": (1_024, 8, 36), "large": (1_536, 16, 48)}
      _UpperCamelCase,     _UpperCamelCase,     _UpperCamelCase					:		List[Any]  =				MODELS[model_size]  # set model hyperparameters
      _UpperCamelCase					:		str  =				ImageGPTConfig(n_embd=lowercase_						,n_layer=lowercase_						,n_head=lowercase_	)
      _UpperCamelCase					:		Dict  =				ImageGPTForCausalLM(lowercase_	)

      # Load weights from numpy
      load_tf_weights_in_imagegpt(lowercase_						,lowercase_						,lowercase_	)

      # Save pytorch-model
      _UpperCamelCase					:		str  =				pytorch_dump_folder_path + "/" + WEIGHTS_NAME
      _UpperCamelCase					:		Any  =				pytorch_dump_folder_path + "/" + CONFIG_NAME
      print(F'''Save PyTorch model to {pytorch_weights_dump_path}'''	)
      torch.save(model.state_dict()						,lowercase_	)
      print(F'''Save configuration file to {pytorch_config_dump_path}'''	)
      with open(lowercase_						,"w"						,encoding="utf-8"	) as f:
            f.write(config.to_json_string()	)


if __name__ == "__main__":
  lowerCamelCase__      =      argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      "--imagegpt_checkpoint_path",
      default=None,
      type=str,
      required=True,
      help="Path to the TensorFlow checkpoint path.",
  )
  parser.add_argument(
      "--model_size",
      default=None,
      type=str,
      required=True,
      help="Size of the model (can be either 'small', 'medium' or 'large').",
  )
  parser.add_argument(
      "--pytorch_dump_folder_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
  )
  lowerCamelCase__      =      parser.parse_args()
  convert_imagegpt_checkpoint_to_pytorch(
      args.imagegpt_checkpoint_path, args.model_size, args.pytorch_dump_folder_path
  )
