
import os

import numpy
import onnx






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       a.name
	lowercase	    =       b.name

	lowercase	    =       ''
	lowercase	    =       ''

	lowercase	    =       a == b

	lowercase	    =       name_a
	lowercase	    =       name_b

	return res






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

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






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	for n in graph_proto.node:
		_node_replace_input_with(__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				)






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       list(model.graph.initializer				)
	lowercase	    =       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

		lowercase	    =       inits[i].name
		lowercase	    =       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					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				)






def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       os.path.dirname(__SCREAMING_SNAKE_CASE				)
	lowercase	    =       os.path.basename(__SCREAMING_SNAKE_CASE				)

	lowercase	    =       onnx.load(os.path.join(__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				)				)

	lowercase	    =       list(model.graph.initializer				)

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

	lowercase	    =       0

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

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

				lowercase	    =       inits[j].data_type
				lowercase	    =       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: '					,				__SCREAMING_SNAKE_CASE				)
				total_reduced_size += mem_size

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

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

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

	lowercase	    =       sorted(__SCREAMING_SNAKE_CASE				)
	_remove_dup_initializers_from_model(__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				)

	lowercase	    =       'optimized_' + model_file_name
	lowercase	    =       os.path.join(__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				)
	onnx.save(__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				)

	return new_model




'''simple docstring'''







# Copyright 2022 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.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


__lowerCamelCase									=     '''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''
def    UpperCAmelCase__     (   UpperCAmelCase__=None					)      ->      List[str]:
       if subparsers is not None:
              A_						       =   subparsers.add_parser("""tpu-config""",							description=_description					)
       else:
              A_						       =   argparse.ArgumentParser("""Accelerate tpu-config command""",							description=_description					)
       # Core arguments
       A_						       =   parser.add_argument_group(
           """Config Arguments""",							"""Arguments that can be configured through `accelerate config`."""					)
       config_args.add_argument(
           """--config_file""",							type=UpperCAmelCase__,							default=UpperCAmelCase__,							help="""Path to the config file to use for accelerate.""",							)
       config_args.add_argument(
           """--tpu_name""",							default=UpperCAmelCase__,							help="""The name of the TPU to use. If not specified, will use the TPU specified in the config file.""",							)
       config_args.add_argument(
           """--tpu_zone""",							default=UpperCAmelCase__,							help="""The zone of the TPU to use. If not specified, will use the zone specified in the config file.""",							)
       A_						       =   parser.add_argument_group("""TPU Arguments""",							"""Arguments for options ran inside the TPU."""					)
       pod_args.add_argument(
           """--use_alpha""",							action="""store_true""",							help="""Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.""",							)
       pod_args.add_argument(
           """--command_file""",							default=UpperCAmelCase__,							help="""The path to the file containing the commands to run on the pod on startup.""",							)
       pod_args.add_argument(
           """--command""",							action="""append""",							nargs="""+""",							help="""A command to run on the pod. Can be passed multiple times.""",							)
       pod_args.add_argument(
           """--install_accelerate""",							action="""store_true""",							help="""Whether to install accelerate on the pod. Defaults to False.""",							)
       pod_args.add_argument(
           """--accelerate_version""",							default="""latest""",							help="""The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub.""",							)
       pod_args.add_argument(
           """--debug""",							action="""store_true""",							help="""If set, will print the command that would be run instead of running it."""					)

       if subparsers is not None:
              parser.set_defaults(func=UpperCAmelCase__					)
       return parser
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      List[Any]:
       A_						       =   None

       # Get the default from the config file if it exists.
       if args.config_file is not None or os.path.isfile(UpperCAmelCase__					):
              A_						       =   load_config_from_file(args.config_file					)
              if not args.command_file and defaults.command_file is not None and not args.command:
                     A_						       =   defaults.command_file
              if not args.command and defaults.commands is not None:
                     A_						       =   defaults.commands
              if not args.tpu_name:
                     A_						       =   defaults.tpu_name
              if not args.tpu_zone:
                     A_						       =   defaults.tpu_zone
       if args.accelerate_version == "dev":
              A_						       =   """git+https://github.com/huggingface/accelerate.git"""
       elif args.accelerate_version == "latest":
              A_						       =   """accelerate -U"""
       elif isinstance(parse(args.accelerate_version					),							UpperCAmelCase__					):
              A_						       =   F'''accelerate=={args.accelerate_version}'''

       if not args.command_file and not args.command:
              raise ValueError("""You must specify either a command file or a command to run on the pod."""					)

       if args.command_file:
              with open(args.command_file,							"""r"""					) as f:
                     A_						       =   [f.read().splitlines()]

    # To turn list of lists into list of strings
       if isinstance(args.command[0],							UpperCAmelCase__					):
              A_						       =   [line for cmd in args.command for line in cmd]
       # Default to the shared folder and install accelerate
       A_						       =   ["""cd /usr/share"""]
       if args.install_accelerate:
              new_cmd += [F'''pip install {args.accelerate_version}''']
       new_cmd += args.command
       A_						       =   """; """.join(UpperCAmelCase__					)

       # Then send it to gcloud
       # Eventually try to use google-api-core to do this instead of subprocess
       A_						       =   ["""gcloud"""]
       if args.use_alpha:
              cmd += ["alpha"]
       cmd += [
           "compute",
           "tpus",
           "tpu-vm",
           "ssh",
           args.tpu_name,
           "--zone",
           args.tpu_zone,
           "--command",
           args.command,
           "--worker",
           "all",
       ]
       if args.debug:
              print(F'''Running {" ".join(UpperCAmelCase__					)}'''					)
              return
       subprocess.run(UpperCAmelCase__					)
       print("""Successfully setup pod."""					)







def    UpperCAmelCase__     (   )      ->      int:
       A_						       =   tpu_command_parser()
       A_						       =   parser.parse_args()

       tpu_command_launcher(UpperCAmelCase__					)
