


# 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        snake_case_					(  snake_case=None					)  ->    Dict:
       if subparsers is not None:
              lowercase__:       Union[str, Any]        =       subparsers.add_parser('tpu-config'      ,							description=_description					)
       else:
              lowercase__:       Optional[int]        =       argparse.ArgumentParser('Accelerate tpu-config command'      ,							description=_description					)
       # Core arguments
       lowercase__:       List[str]        =       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.'      ,							)
       lowercase__:       List[str]        =       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        snake_case_					(  snake_case					)  ->    List[str]:
       lowercase__:       Any        =       None

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

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

       # Then send it to gcloud
       # Eventually try to use google-api-core to do this instead of subprocess
       lowercase__:       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        snake_case_					(  )  ->    List[Any]:
       lowercase__:       Tuple        =       tpu_command_parser()
       lowercase__:       Any        =       parser.parse_args()

       tpu_command_launcher(snake_case					)






import torch

from diffusers import StableDiffusionPipeline


__lowerCAmelCase			=							'''path-to-your-trained-model'''
__lowerCAmelCase			=							StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to('''cuda''')

__lowerCAmelCase			=							'''A photo of sks dog in a bucket'''
__lowerCAmelCase			=							pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]

image.save('''dog-bucket.png''')


