

'''simple docstring'''




import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
_a					:			Dict							=    '.'

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
_a					:			Optional[Any]							=    [
    'Assert',
    'AssignVariableOp',
    'EmptyTensorList',
    'MergeV2Checkpoints',
    'ReadVariableOp',
    'ResourceGather',
    'RestoreV2',
    'SaveV2',
    'ShardedFilename',
    'StatefulPartitionedCall',
    'StaticRegexFullMatch',
    'VarHandleOp',
]


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Tuple							, SCREAMING_SNAKE_CASE   : Tuple							, SCREAMING_SNAKE_CASE   : Tuple    ):
  UpperCAmelCase    				=						SavedModel()
  UpperCAmelCase    				=						[]

  with open(os.path.join(__UpperCAmelCase							, 'utils'							, 'tf_ops'							, 'onnx.json'    )    ) as f:
    UpperCAmelCase    				=						json.load(__UpperCAmelCase    )['opsets']

  for i in range(1							, opset + 1    ):
    onnx_ops.extend(onnx_opsets[str(__UpperCAmelCase    )]    )

  with open(__UpperCAmelCase							, 'rb'    ) as f:
    saved_model.ParseFromString(f.read()    )

  UpperCAmelCase    				=						set()

  # Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
  for meta_graph in saved_model.meta_graphs:
    # Add operations in the graph definition
    model_op_names.update(node.op for node in meta_graph.graph_def.node    )

    # Go through the functions in the graph definition
    for func in meta_graph.graph_def.library.function:
      # Add operations in each function
      model_op_names.update(node.op for node in func.node_def    )

    # Convert to list, sorted if you want
  UpperCAmelCase    				=						sorted(__UpperCAmelCase    )
  UpperCAmelCase    				=						[]

  for op in model_op_names:
    if op not in onnx_ops and op not in INTERNAL_OPS:
      incompatible_ops.append(__UpperCAmelCase    )

  if strict and len(__UpperCAmelCase    ) > 0:
    raise Exception(f'''Found the following incompatible ops for the opset {opset}:\n''' + incompatible_ops    )
  elif len(__UpperCAmelCase    ) > 0:
    print(f'''Found the following incompatible ops for the opset {opset}:'''    )
    print(*__UpperCAmelCase							, sep='\n'    )
  else:
    print(f'''The saved model {saved_model_path} can properly be converted with ONNX.'''    )


if __name__ == "__main__":
  _a					:			Tuple							=    argparse.ArgumentParser()
  parser.add_argument('--saved_model_path', help='Path of the saved model to check (the .pb file).')
  parser.add_argument(
      '--opset', default=12, type=int, help='The ONNX opset against which the model has to be tested.'
  )
  parser.add_argument(
      '--framework', choices=['onnx'], default='onnx', help='Frameworks against which to test the saved model.'
  )
  parser.add_argument(
      '--strict', action='store_true', help='Whether make the checking strict (raise errors) or not (raise warnings)'
  )
  _a					:			str							=    parser.parse_args()

  if args.framework == "onnx":
    onnx_compliancy(args.saved_model_path, args.strict, args.opset)








'''simple docstring'''

import argparse
from collections import defaultdict

import yaml


a    :							List[Any]										=    'docs/source/en/_toctree.yml'


def 						__magic_name__       (      __UpperCAmelCase      )						->   str:

					'''simple docstring'''

					snake_case_		     =							defaultdict(__UpperCAmelCase      )
					for doc in model_doc:
										counts[doc["local"]] += 1
					snake_case_		     =							[key for key, value in counts.items() if value > 1]

					snake_case_		     =							[]
					for duplicate_key in duplicates:
										snake_case_		     =							list({doc['''title'''] for doc in model_doc if doc['''local'''] == duplicate_key}      )
										if len(__UpperCAmelCase      ) > 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(__UpperCAmelCase, key=lambda __UpperCAmelCase      : s["title"].lower()      )


def 						__magic_name__       (      __UpperCAmelCase=False      )						->   List[Any]:

					'''simple docstring'''

					with open(__UpperCAmelCase, encoding='''utf-8'''      ) as f:
										snake_case_		     =							yaml.safe_load(f.read()      )

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

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

					snake_case_		     =							api_doc[model_idx]['''sections''']

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

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

					if diff:
										if overwrite:
															snake_case_		     =							model_doc
															snake_case_		     =							api_doc
															with open(__UpperCAmelCase, '''w''', encoding='''utf-8'''      ) as f:
																				f.write(yaml.dump(__UpperCAmelCase, allow_unicode=__UpperCAmelCase      )      )
										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    :							Dict										=    argparse.ArgumentParser()
							parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
							a    :							Union[str, Any]										=    parser.parse_args()

							check_model_doc(args.fix_and_overwrite)

