




import os

import numpy
import onnx







def      lowerCamelCase_						(			UpperCamelCase__							: List[str]					,	UpperCamelCase__							: List[Any] )	->			Optional[int]:





				"""simple docstring"""


				__lowerCamelCase									=       a.name
				__lowerCamelCase									=       b.name

				__lowerCamelCase									=       ''
				__lowerCamelCase									=       ''

				__lowerCamelCase									=       a == b

				__lowerCamelCase									=       name_a
				__lowerCamelCase									=       name_b

				return res







def      lowerCamelCase_						(			UpperCamelCase__							: Tuple					,	UpperCamelCase__							: Any					,	UpperCamelCase__							: Tuple )	->			List[Any]:





				"""simple docstring"""


				for i, input_name in enumerate(node_proto.input ):
								if input_name == name:
												node_proto.input.insert(UpperCamelCase__					,	UpperCamelCase__ )
												node_proto.input.pop(i + 1 )

				if node_proto.op_type == "If":
								_graph_replace_input_with(node_proto.attribute[0].g					,	UpperCamelCase__					,	UpperCamelCase__ )
								_graph_replace_input_with(node_proto.attribute[1].g					,	UpperCamelCase__					,	UpperCamelCase__ )
				if node_proto.op_type == "Loop":
								_graph_replace_input_with(node_proto.attribute[0].g					,	UpperCamelCase__					,	UpperCamelCase__ )







def      lowerCamelCase_						(			UpperCamelCase__							: List[Any]					,	UpperCamelCase__							: Any					,	UpperCamelCase__							: List[Any] )	->			Optional[Any]:





				"""simple docstring"""


				for n in graph_proto.node:
								_node_replace_input_with(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__ )







def      lowerCamelCase_						(			UpperCamelCase__							: Union[str, Any]					,	UpperCamelCase__							: str					,	UpperCamelCase__							: Tuple )	->			Dict:





				"""simple docstring"""


				__lowerCamelCase									=       list(model.graph.initializer )
				__lowerCamelCase									=       list(model_without_ext.graph.initializer )
				for i, ref_i in ind_to_replace:
								assert inits_with_data[i].name == inits[i].name
								assert inits_with_data[ref_i].name == inits[ref_i].name
								assert i > ref_i

								__lowerCamelCase									=       inits[i].name
								__lowerCamelCase									=       inits[ref_i].name

								model_without_ext.graph.initializer.remove(inits[i] )

								# for n in model.graph.node:
								_graph_replace_input_with(model_without_ext.graph					,	UpperCamelCase__					,	UpperCamelCase__ )







def      lowerCamelCase_						(			UpperCamelCase__							: Dict )	->			Union[str, Any]:





				"""simple docstring"""


				__lowerCamelCase									=       os.path.dirname(UpperCamelCase__ )
				__lowerCamelCase									=       os.path.basename(UpperCamelCase__ )

				__lowerCamelCase									=       onnx.load(os.path.join(UpperCamelCase__					,	UpperCamelCase__ ) )

				__lowerCamelCase									=       list(model.graph.initializer )

				__lowerCamelCase									=       set()
				__lowerCamelCase									=       {}
				__lowerCamelCase									=       []

				__lowerCamelCase									=       0

				for i in range(len(UpperCamelCase__ ) ):
								if i in dup_set:
												continue

								for j in range(i + 1					,	len(UpperCamelCase__ ) ):
												if j in dup_set:
																continue
												if _is_equal_tensor_proto(inits[i]					,	inits[j] ):
																dup_set.add(UpperCamelCase__ )
																dup_set.add(UpperCamelCase__ )

																__lowerCamelCase									=       inits[j].data_type
																__lowerCamelCase									=       numpy.prod(inits[j].dims )
																if dtype == 1:
																				mem_size *= 4
																elif dtype == 6:
																				mem_size *= 4
																elif dtype == 7 or dtype == 11:
																				mem_size *= 8
																else:
																				print('unexpected data type: '					,	UpperCamelCase__ )
																total_reduced_size += mem_size

																__lowerCamelCase									=       inits[i].name
																__lowerCamelCase									=       inits[j].name

																if name_i in dup_map:
																				dup_map[name_i].append(UpperCamelCase__ )
																else:
																				__lowerCamelCase									=       [name_j]
																ind_to_replace.append((j, i) )

				print('total reduced size: '					,	total_reduced_size / 1024 / 1024 / 1024					,	'GB' )

				__lowerCamelCase									=       sorted(UpperCamelCase__ )
				_remove_dup_initializers_from_model(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__ )

				__lowerCamelCase									=       'optimized_' + model_file_name
				__lowerCamelCase									=       os.path.join(UpperCamelCase__					,	UpperCamelCase__ )
				onnx.save(UpperCamelCase__					,	UpperCamelCase__ )

				return new_model








# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser







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





				"""simple docstring"""


				__lowerCamelCase									=       ArgumentParser('Accelerate CLI tool'					,	usage='accelerate <command> [<args>]'					,	allow_abbrev=UpperCamelCase__ )
				__lowerCamelCase									=       parser.add_subparsers(help='accelerate command helpers' )

				# Register commands
				get_config_parser(subparsers=UpperCamelCase__ )
				env_command_parser(subparsers=UpperCamelCase__ )
				launch_command_parser(subparsers=UpperCamelCase__ )
				tpu_command_parser(subparsers=UpperCamelCase__ )
				test_command_parser(subparsers=UpperCamelCase__ )

				# Let's go
				__lowerCamelCase									=       parser.parse_args()

				if not hasattr(UpperCamelCase__					,	'func' ):
								parser.print_help()
								exit(1 )

				# Run
				args.func(UpperCamelCase__ )


if __name__ == "__main__":
					main()


