




import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


_A     =			False
_A     =			True
_A     =			False


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

						parser.add_argument(
						    '''--repo_path''',
						    default=None,
						    type=str,
						    required=True,
						    help='''The config json file corresponding to the architecture.''',
						)

						parser.add_argument('''--dump_path''', default=None, type=str, required=True, help='''Path to the output model.''')

						_A     =			parser.parse_args()

						_A     =			{
						    '''image_size''': '''sample_size''',
						    '''num_res_blocks''': '''layers_per_block''',
						    '''block_channels''': '''block_out_channels''',
						    '''down_blocks''': '''down_block_types''',
						    '''up_blocks''': '''up_block_types''',
						    '''downscale_freq_shift''': '''freq_shift''',
						    '''resnet_num_groups''': '''norm_num_groups''',
						    '''resnet_act_fn''': '''act_fn''',
						    '''resnet_eps''': '''norm_eps''',
						    '''num_head_channels''': '''attention_head_dim''',
						}

						_A     =			{
						    '''time_steps''': '''time_proj''',
						    '''mid''': '''mid_block''',
						    '''downsample_blocks''': '''down_blocks''',
						    '''upsample_blocks''': '''up_blocks''',
						}

						_A     =			'''''' if has_file(args.repo_path, '''config.json''') else '''unet'''

						with open(os.path.join(args.repo_path, subfolder, '''config.json'''), '''r''', encoding='''utf-8''') as reader:
												_A     =			reader.read()
												_A     =			json.loads(text)

						if do_only_config:
												for key in config_parameters_to_change.keys():
																		config.pop(key, None)

						if has_file(args.repo_path, '''config.json'''):
												_A     =			UNetaDModel(**config)
						else:
												_A     =			UNetaDConditionModel if '''ldm-text2im-large-256''' in args.repo_path else UNetaDModel
												_A     =			class_name(**config)

						if do_only_config:
												model.save_config(os.path.join(args.repo_path, subfolder))

						_A     =			dict(model.config)

						if do_only_renaming:
												for key, value in config_parameters_to_change.items():
																		if key in config:
																								_A     =			config[key]
																								del config[key]

												_A     =			[k.replace('''UNetRes''', '''''') for k in config['''down_block_types''']]
												_A     =			[k.replace('''UNetRes''', '''''') for k in config['''up_block_types''']]

						if do_only_weights:
												_A     =			torch.load(os.path.join(args.repo_path, subfolder, '''diffusion_pytorch_model.bin'''))

												_A     =			{}
												for param_key, param_value in state_dict.items():
																		if param_key.endswith('''.op.bias''') or param_key.endswith('''.op.weight'''):
																								continue
																		_A     =			False
																		for key, new_key in key_parameters_to_change.items():
																								if not has_changed and param_key.split('''.''')[0] == key:
																														_A     =			param_value
																														_A     =			True
																		if not has_changed:
																								_A     =			param_value

												model.load_state_dict(new_state_dict)
												model.save_pretrained(os.path.join(args.repo_path, subfolder))










import argparse
from collections import defaultdict

import yaml


_A     =			'''docs/source/en/_toctree.yml'''





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  defaultdict(_A  )
						for doc in model_doc:
												counts[doc["local"]] += 1
						lowerCAmelCase_      			=  [key for key, value in counts.items() if value > 1]

						lowerCAmelCase_      			=  []
						for duplicate_key in duplicates:
												lowerCAmelCase_      			=  list({doc['''title'''] for doc in model_doc if doc['''local'''] == duplicate_key}  )
												if len(_A  ) > 1:
																		raise ValueError(
																		    f"{duplicate_key} is present several times in the documentation table of content at "
																		    '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
																		    '''others.'''  )
												# Only add this once
												new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}  )

						# Add none duplicate-keys
						new_doc.extend([doc for doc in model_doc if counts[doc['''local''']] == 1]  )

						# Sort
						return sorted(_A ,  key=lambda _A  : s["title"].lower()  )





def __UpperCamelCase			(       _A=False  ):
						with open(_A ,  encoding='''utf-8'''  ) as f:
												lowerCAmelCase_      			=  yaml.safe_load(f.read()  )

						# Get to the API doc
						lowerCAmelCase_      			=  0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						lowerCAmelCase_      			=  content[api_idx]['''sections''']

						# Then to the model doc
						lowerCAmelCase_      			=  0
						while api_doc[model_idx]["title"] != "Models":
												model_idx += 1

						lowerCAmelCase_      			=  api_doc[model_idx]['''sections''']

						lowerCAmelCase_      			=  [(idx, section) for idx, section in enumerate(_A  ) if '''sections''' in section]
						lowerCAmelCase_      			=  False
						for idx, modality_doc in modalities_docs:
												lowerCAmelCase_      			=  modality_doc['''sections''']
												lowerCAmelCase_      			=  clean_model_doc_toc(_A  )

												if old_modality_doc != new_modality_doc:
																		lowerCAmelCase_      			=  True
																		if overwrite:
																								lowerCAmelCase_      			=  new_modality_doc

						if diff:
												if overwrite:
																		lowerCAmelCase_      			=  model_doc
																		lowerCAmelCase_      			=  api_doc
																		with open(_A ,  '''w''' ,  encoding='''utf-8'''  ) as f:
																								f.write(yaml.dump(_A ,  allow_unicode=_A  )  )
												else:
																		raise ValueError(
																		    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''  )


if __name__ == "__main__":
						_A     =			argparse.ArgumentParser()
						parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
						_A     =			parser.parse_args()

						check_model_doc(args.fix_and_overwrite)




