





import argparse
from pathlib import Path

import torch
from packaging import version
from torch.onnx import export

from diffusers import AutoencoderKL


UpperCAmelCase_           =	version.parse(version.parse(torch.__version__).base_version) < version.parse("1.11")
def      A__       (    SCREAMING_SNAKE_CASE_   :      Union[str, Any]				,	SCREAMING_SNAKE_CASE_   :      tuple				,	SCREAMING_SNAKE_CASE_   :      Path				,	SCREAMING_SNAKE_CASE_   :      Optional[int]				,	SCREAMING_SNAKE_CASE_   :      Tuple				,	SCREAMING_SNAKE_CASE_   :      Tuple				,	SCREAMING_SNAKE_CASE_   :      int				,	SCREAMING_SNAKE_CASE_   :      int=False				,	)  ->  Union[str, Any]:






   """simple docstring"""







   output_path.parent.mkdir(parents=SCREAMING_SNAKE_CASE_				,	exist_ok=SCREAMING_SNAKE_CASE_						)
   # PyTorch deprecated the `enable_onnx_checker` and `use_external_data_format` arguments in v1.11,
   # so we check the torch version for backwards compatibility
   if is_torch_less_than_1_11:
      export(
          SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_				,	f=output_path.as_posix()				,	input_names=SCREAMING_SNAKE_CASE_				,	output_names=SCREAMING_SNAKE_CASE_				,	dynamic_axes=SCREAMING_SNAKE_CASE_				,	do_constant_folding=SCREAMING_SNAKE_CASE_				,	use_external_data_format=SCREAMING_SNAKE_CASE_				,	enable_onnx_checker=SCREAMING_SNAKE_CASE_				,	opset_version=SCREAMING_SNAKE_CASE_				,	)
   else:
      export(
          SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_				,	f=output_path.as_posix()				,	input_names=SCREAMING_SNAKE_CASE_				,	output_names=SCREAMING_SNAKE_CASE_				,	dynamic_axes=SCREAMING_SNAKE_CASE_				,	do_constant_folding=SCREAMING_SNAKE_CASE_				,	opset_version=SCREAMING_SNAKE_CASE_				,	)
@torch.no_grad()
def      A__       (    SCREAMING_SNAKE_CASE_   :      str				,	SCREAMING_SNAKE_CASE_   :      str				,	SCREAMING_SNAKE_CASE_   :      int				,	SCREAMING_SNAKE_CASE_   :      bool = False						)  ->  Any:






   """simple docstring"""







   _UpperCAmelCase           =   torch.floataa if fpaa else torch.floataa
   if fpaa and torch.cuda.is_available():
      _UpperCAmelCase           =   '''cuda'''
   elif fpaa and not torch.cuda.is_available():
      raise ValueError('''`float16` model export is only supported on GPUs with CUDA'''						)
   else:
      _UpperCAmelCase           =   '''cpu'''
   _UpperCAmelCase           =   Path(SCREAMING_SNAKE_CASE_						)

   # VAE DECODER
   _UpperCAmelCase           =   AutoencoderKL.from_pretrained(model_path + '''/vae'''						)
   _UpperCAmelCase           =   vae_decoder.config.latent_channels
   # forward only through the decoder part
   _UpperCAmelCase           =   vae_decoder.decode
   onnx_export(
       SCREAMING_SNAKE_CASE_				,	model_args=(
           torch.randn(1				,	SCREAMING_SNAKE_CASE_				,	25				,	25						).to(device=SCREAMING_SNAKE_CASE_				,	dtype=SCREAMING_SNAKE_CASE_						),
           False,
       )				,	output_path=output_path / '''vae_decoder''' / '''model.onnx'''				,	ordered_input_names=['''latent_sample''', '''return_dict''']				,	output_names=['''sample''']				,	dynamic_axes={
           '''latent_sample''': {0: '''batch''', 1: '''channels''', 2: '''height''', 3: '''width'''},
       }				,	opset=SCREAMING_SNAKE_CASE_				,	)
   del vae_decoder


if __name__ == "__main__":
   UpperCAmelCase_           =	argparse.ArgumentParser()

   parser.add_argument(
       "--model_path",
       type=str,
       required=True,
       help="Path to the `diffusers` checkpoint to convert (either a local directory or on the Hub).",
   )

   parser.add_argument("--output_path", type=str, required=True, help="Path to the output model.")
   parser.add_argument(
       "--opset",
       default=14,
       type=int,
       help="The version of the ONNX operator set to use.",
   )
   parser.add_argument("--fp16", action="store_true", default=False, help="Export the models in `float16` mode")

   UpperCAmelCase_           =	parser.parse_args()
   print(args.output_path)
   convert_models(args.model_path, args.output_path, args.opset, args.fpaa)
   print("SD: Done: ONNX")
import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / '''utils'''))

from test_module.custom_configuration import CustomConfig  # noqa E402


UpperCAmelCase_           =				get_tests_dir('''fixtures/dummy-config.json''')




class 			__magic_name__	(		unittest.TestCase     ):





   """simple docstring"""




   def 	lowerCAmelCase    (						self       :	str				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			0



   def 	lowerCAmelCase    (						self       :	Any				):



    """simple docstring"""



    self.assertIsNotNone(transformers.models.auto.__spec__				)
    self.assertIsNotNone(importlib.util.find_spec('''transformers.models.auto'''				)				)



   def 	lowerCAmelCase    (						self       :	Union[str, Any]				):



    """simple docstring"""



    _UpperCamelCase:  List[str]    						=			AutoConfig.from_pretrained('''bert-base-uncased'''				)
    self.assertIsInstance(_lowercase		,	_lowercase				)



   def 	lowerCAmelCase    (						self       :	int				):



    """simple docstring"""



    _UpperCamelCase:  int    						=			AutoConfig.from_pretrained(_lowercase				)
    self.assertIsInstance(_lowercase		,	_lowercase				)



   def 	lowerCAmelCase    (						self       :	List[Any]				):



    """simple docstring"""



    _UpperCamelCase:  List[Any]    						=			AutoConfig.from_pretrained(_lowercase				)
    self.assertIsInstance(_lowercase		,	_lowercase				)



   def 	lowerCAmelCase    (						self       :	Optional[int]				):



    """simple docstring"""



    _UpperCamelCase:  List[str]    						=			AutoConfig.for_model('''roberta'''				)
    self.assertIsInstance(_lowercase		,	_lowercase				)



   def 	lowerCAmelCase    (						self       :	List[str]				):



    """simple docstring"""



    with tempfile.TemporaryDirectory() as tmp_dir:
     # This model name contains bert and roberta, but roberta ends up being picked.
     _UpperCamelCase:  Union[str, Any]    						=			os.path.join(_lowercase		,	'''fake-roberta'''				)
     os.makedirs(_lowercase		,	exist_ok=_lowercase				)
     with open(os.path.join(_lowercase		,	'''config.json'''				)		,	'''w'''				) as f:
      f.write(json.dumps({}				)				)
     _UpperCamelCase:  Union[str, Any]    						=			AutoConfig.from_pretrained(_lowercase				)
     self.assertEqual(type(_lowercase				)		,	_lowercase				)



   def 	lowerCAmelCase    (						self       :	Dict				):



    """simple docstring"""



    try:
     AutoConfig.register('''custom'''		,	_lowercase				)
     # Wrong model type will raise an error
     with self.assertRaises(_lowercase				):
      AutoConfig.register('''model'''		,	_lowercase				)
     # Trying to register something existing in the Transformers library will raise an error
     with self.assertRaises(_lowercase				):
      AutoConfig.register('''bert'''		,	_lowercase				)

     # Now that the config is registered, it can be used as any other config with the auto-API
     _UpperCamelCase:  Union[str, Any]    						=			CustomConfig()
     with tempfile.TemporaryDirectory() as tmp_dir:
      config.save_pretrained(_lowercase				)
      _UpperCamelCase:  Any    						=			AutoConfig.from_pretrained(_lowercase				)
      self.assertIsInstance(_lowercase		,	_lowercase				)

    finally:
     if "custom" in CONFIG_MAPPING._extra_content:
      del CONFIG_MAPPING._extra_content["custom"]



   def 	lowerCAmelCase    (						self       :	Optional[int]				):



    """simple docstring"""



    with self.assertRaisesRegex(
        _lowercase		,	'''bert-base is not a local folder and is not a valid model identifier'''				):
     _UpperCamelCase:  Optional[int]    						=			AutoConfig.from_pretrained('''bert-base'''				)



   def 	lowerCAmelCase    (						self       :	Tuple				):



    """simple docstring"""



    with self.assertRaisesRegex(
        _lowercase		,	R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''				):
     _UpperCamelCase:  str    						=			AutoConfig.from_pretrained(_lowercase		,	revision='''aaaaaa'''				)



   def 	lowerCAmelCase    (						self       :	Union[str, Any]				):



    """simple docstring"""



    with self.assertRaisesRegex(
        _lowercase		,	'''hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.'''		,	):
     _UpperCamelCase:  int    						=			AutoConfig.from_pretrained('''hf-internal-testing/no-config-test-repo'''				)



   def 	lowerCAmelCase    (						self       :	Dict				):



    """simple docstring"""



    with self.assertRaises(_lowercase				):
     _UpperCamelCase:  List[str]    						=			AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''				)
    # If remote code is disabled, we can't load this config.
    with self.assertRaises(_lowercase				):
     _UpperCamelCase:  Optional[int]    						=			AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''		,	trust_remote_code=_lowercase				)

    _UpperCamelCase:  Union[str, Any]    						=			AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''		,	trust_remote_code=_lowercase				)
    self.assertEqual(config.__class__.__name__		,	'''NewModelConfig'''				)

    # Test config can be reloaded.
    with tempfile.TemporaryDirectory() as tmp_dir:
     config.save_pretrained(_lowercase				)
     _UpperCamelCase:  str    						=			AutoConfig.from_pretrained(_lowercase		,	trust_remote_code=_lowercase				)
    self.assertEqual(reloaded_config.__class__.__name__		,	'''NewModelConfig'''				)



   def 	lowerCAmelCase    (						self       :	Any				):



    """simple docstring"""



    class 			__magic_name__	(		__a     ):





       """simple docstring"""




       lowerCAmelCase   :     List[Any]	      = '''new-model'''

    try:
     AutoConfig.register('''new-model'''		,	_lowercase				)
     # If remote code is not set, the default is to use local
     _UpperCamelCase:  List[Any]    						=			AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''				)
     self.assertEqual(config.__class__.__name__		,	'''NewModelConfigLocal'''				)

     # If remote code is disabled, we load the local one.
     _UpperCamelCase:  Union[str, Any]    						=			AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''		,	trust_remote_code=_lowercase				)
     self.assertEqual(config.__class__.__name__		,	'''NewModelConfigLocal'''				)

     # If remote is enabled, we load from the Hub
     _UpperCamelCase:  Any    						=			AutoConfig.from_pretrained('''hf-internal-testing/test_dynamic_model'''		,	trust_remote_code=_lowercase				)
     self.assertEqual(config.__class__.__name__		,	'''NewModelConfig'''				)

    finally:
     if "new-model" in CONFIG_MAPPING._extra_content:
      del CONFIG_MAPPING._extra_content["new-model"]