





'''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


__SCREAMING_SNAKE_CASE     :Any       =				'''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''
def 	UpperCAmelCase_							(					__lowercase							:      Optional[int]=None       )		->       List[str]:


     '''simple docstring'''



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


     '''simple docstring'''



     _UpperCAmelCase     							=   None

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

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

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






def 	UpperCAmelCase_							(					)		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   tpu_command_parser()
     _UpperCAmelCase     							=   parser.parse_args()

     tpu_command_launcher(__lowercase       )











'''simple docstring'''




from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


__SCREAMING_SNAKE_CASE     :int       =				logging.get_logger(__name__)







class   A_	:
 _lowerCamelCase  : str
 _lowerCamelCase  : str           =							None




 @staticmethod
 def      lowercase	(					):
      raise NotImplementedError




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    Optional[int]	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    List[Any]    ):
      raise NotImplementedError




 def      lowercase	(					self       :    Any	,			snake_case_       :    int    ):
      raise NotImplementedError




 def      lowercase	(					self       :    List[str]    ):
      if not self.is_available():
           raise RuntimeError(
               f'You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'    )




 @classmethod
 def      lowercase	(					cls       :    List[Any]    ):
      return f'`pip install {cls.pip_package or cls.name}`'







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : int           =							"""optuna"""




 @staticmethod
 def      lowercase	(					):
      return is_optuna_available()




 def      lowercase	(					self       :    List[str]	,			snake_case_       :    Any	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    Tuple    ):
      return run_hp_search_optuna(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    int	,			snake_case_       :    Optional[int]    ):
      return default_hp_space_optuna(snake_case_    )







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Any           =							"""ray"""
 _lowerCamelCase  : Tuple           =							"""'ray[tune]'"""




 @staticmethod
 def      lowercase	(					):
      return is_ray_available()




 def      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    Any	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    List[str]    ):
      return run_hp_search_ray(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    Any	,			snake_case_       :    str    ):
      return default_hp_space_ray(snake_case_    )







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : int           =							"""sigopt"""




 @staticmethod
 def      lowercase	(					):
      return is_sigopt_available()




 def      lowercase	(					self       :    Any	,			snake_case_       :    int	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    Dict    ):
      return run_hp_search_sigopt(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    Dict	,			snake_case_       :    Optional[Any]    ):
      return default_hp_space_sigopt(snake_case_    )







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Optional[int]           =							"""wandb"""




 @staticmethod
 def      lowercase	(					):
      return is_wandb_available()




 def      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    Optional[Any]	,			snake_case_       :    int	,			snake_case_       :    str	,			**snake_case_       :    Optional[Any]    ):
      return run_hp_search_wandb(snake_case_	,			snake_case_	,			snake_case_	,			**snake_case_    )




 def      lowercase	(					self       :    Any	,			snake_case_       :    Union[str, Any]    ):
      return default_hp_space_wandb(snake_case_    )





__SCREAMING_SNAKE_CASE     :Dict       =				{
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}
def 	UpperCAmelCase_							(					)		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
     if len(__lowercase       ) > 0:
          _UpperCAmelCase     							=   available_backends[0].name
          if len(__lowercase       ) > 1:
               logger.info(
                   f'{len(__lowercase       )} hyperparameter search backends available. Using {name} as the default.'       )
          return name
     raise RuntimeError(
         "No hyperparameter search backend available.\n"
         + "\n".join(
             f' - To install {backend.name} run {backend.pip_install()}'
             for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()       )       )




