





# 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


lowercase_		:				int				=						'Run commands across TPU VMs for initial setup before running `accelerate launch`.'

def       A__(		__lowerCAmelCase=None ):
				if subparsers is not None:
								_snake_case :			int  						=   subparsers.add_parser('tpu-config'	,			description=_description )
				else:
								_snake_case :			Tuple  						=   argparse.ArgumentParser('Accelerate tpu-config command'	,			description=_description )
				# Core arguments
				_snake_case :			Optional[int]  						=   parser.add_argument_group(
				    'Config Arguments'	,			'Arguments that can be configured through `accelerate config`.' )
				config_args.add_argument(
				    '--config_file'	,			type=snake_case_	,			default=snake_case_	,			help='Path to the config file to use for accelerate.'	,			)
				config_args.add_argument(
				    '--tpu_name'	,			default=snake_case_	,			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=snake_case_	,			help='The zone of the TPU to use. If not specified, will use the zone specified in the config file.'	,			)
				_snake_case :			Any  						=   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=snake_case_	,			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=snake_case_ )
				return parser

def       A__(		__lowerCAmelCase ):
				_snake_case :			Dict  						=   None

				# Get the default from the config file if it exists.
				if args.config_file is not None or os.path.isfile(snake_case_ ):
								_snake_case :			str  						=   load_config_from_file(args.config_file )
								if not args.command_file and defaults.command_file is not None and not args.command:
												_snake_case :			int  						=   defaults.command_file
								if not args.command and defaults.commands is not None:
												_snake_case :			Tuple  						=   defaults.commands
								if not args.tpu_name:
												_snake_case :			int  						=   defaults.tpu_name
								if not args.tpu_zone:
												_snake_case :			Tuple  						=   defaults.tpu_zone
				if args.accelerate_version == "dev":
								_snake_case :			str  						=   '''git+https://github.com/huggingface/accelerate.git'''
				elif args.accelerate_version == "latest":
								_snake_case :			Any  						=   '''accelerate -U'''
				elif isinstance(parse(args.accelerate_version )	,			snake_case_ ):
								_snake_case :			Dict  						=   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:
												_snake_case :			List[str]  						=   [f.read().splitlines()]

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

				# Then send it to gcloud
				# Eventually try to use google-api-core to do this instead of subprocess
				_snake_case :			int  						=   ['''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(snake_case_ )}''' )
								return
				subprocess.run(snake_case_ )
				print('Successfully setup pod.' )

def       A__(		):
				_snake_case :			Union[str, Any]  						=   tpu_command_parser()
				_snake_case :			Tuple  						=   parser.parse_args()

				tpu_command_launcher(snake_case_ )












import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
lowercase_		:				Optional[int]				=						object()

# For specifying empty leaf dict `{}`
lowercase_		:				List[Any]				=						object()

def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Optional[Any]  						=   tuple((re.compile(x + '$' ) for x in qs) )
				for i in range(len(__lowerCAmelCase ) - len(__lowerCAmelCase ) + 1 ):
								_snake_case :			Tuple  						=   [x.match(__lowerCAmelCase ) for x, y in zip(__lowerCAmelCase	,			ks[i:] )]
								if matches and all(__lowerCAmelCase ):
												return True
				return False

def       A__(		__lowerCAmelCase ):
				def replace(__lowerCAmelCase	,			__lowerCAmelCase ):
								for rule, replacement in rules:
												if _match(__lowerCAmelCase	,			__lowerCAmelCase ):
																return replacement
								return val

				return replace

def       A__(		):
				return [
				    # embeddings
				    (("transformer", "wpe", "embedding"), P('mp'	,			__lowerCAmelCase )),
				    (("transformer", "wte", "embedding"), P('mp'	,			__lowerCAmelCase )),
				    # atention
				    (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(__lowerCAmelCase	,			'mp' )),
				    (("attention", "out_proj", "kernel"), P('mp'	,			__lowerCAmelCase )),
				    (("attention", "out_proj", "bias"), None),
				    # mlp
				    (("mlp", "c_fc", "kernel"), P(__lowerCAmelCase	,			'mp' )),
				    (("mlp", "c_fc", "bias"), P('mp' )),
				    (("mlp", "c_proj", "kernel"), P('mp'	,			__lowerCAmelCase )),
				    (("mlp", "c_proj", "bias"), None),
				    # layer norms
				    ((r"ln_\d+", "bias"), None),
				    ((r"\d+", r"ln_\d+", "scale"), None),
				    (("ln_f", "bias"), None),
				    (("ln_f", "scale"), None),
				]

def       A__(		__lowerCAmelCase ):
				_snake_case :			Optional[Any]  						=   _get_partition_rules()
				_snake_case :			Optional[Any]  						=   _replacement_rules(__lowerCAmelCase )
				_snake_case :			str  						=   {k: _unmatched for k in flatten_dict(__lowerCAmelCase )}
				_snake_case :			str  						=   {k: replace(__lowerCAmelCase	,			__lowerCAmelCase ) for k, v in initd.items()}
				assert _unmatched not in result.values(), "Incomplete partition spec."
				return freeze(unflatten_dict(__lowerCAmelCase ) )






