



"""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


__snake_case				:  Optional[int] =       'Run commands across TPU VMs for initial setup before running `accelerate launch`.'


def      _lowercase							(    __snake_case=None      )		->  Tuple:
			if subparsers is not None:
						__lowerCAmelCase :    str				=			subparsers.add_parser("tpu-config"   ,description=_description      )
			else:
						__lowerCAmelCase :    int				=			argparse.ArgumentParser("Accelerate tpu-config command"   ,description=_description      )
			# Core arguments
			__lowerCAmelCase :    Union[str, Any]				=			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."   ,)
			__lowerCAmelCase :    Tuple				=			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      _lowercase							(    __snake_case      )		->  Any:
			__lowerCAmelCase :    Tuple				=			None

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

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

			# Then send it to gcloud
			# Eventually try to use google-api-core to do this instead of subprocess
			__lowerCAmelCase :    Any				=			["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      _lowercase							(    )		->  Dict:
			__lowerCAmelCase :    Optional[Any]				=			tpu_command_parser()
			__lowerCAmelCase :    Any				=			parser.parse_args()

			tpu_command_launcher(__snake_case      )




"""simple docstring"""






# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    'stable diffusion controlnet',
    '0.22.0',
    'Importing `FlaxStableDiffusionControlNetPipeline` from diffusers.pipelines.stable_diffusion.flax_pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import FlaxStableDiffusionControlNetPipeline` instead.',
    standard_warn=False,
    stacklevel=3,
)