



# Copyright 2021 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.

from pathlib import Path

import torch

from ...utils import is_npu_available, is_xpu_available
from .config_args import ClusterConfig, default_json_config_file
from .config_utils import SubcommandHelpFormatter


UpperCamelCase_	   =			'Create a default config file for Accelerate with only a few flags set.'




def 		SCREAMING_SNAKE_CASE     (     snake_case__="no"				,   snake_case__ = default_json_config_file				,   snake_case__ = False      )   ->	List[str]:
    __UpperCAmelCase			 =Path(_lowercase      )
    path.parent.mkdir(parents=_lowercase				,   exist_ok=_lowercase      )
    if path.exists():
        print(
            f"""Configuration already exists at {save_location}, will not override. Run `accelerate config` manually or pass a different `save_location`."""      )
        return False
    __UpperCAmelCase			 =mixed_precision.lower()
    if mixed_precision not in ["no", "fp16", "bf16", "fp8"]:
        raise ValueError(
            f"""`mixed_precision` should be one of \'no\', \'fp16\', \'bf16\', or \'fp8\'. Received {mixed_precision}"""      )
    __UpperCAmelCase			 ={
        '''compute_environment''': '''LOCAL_MACHINE''',
        '''mixed_precision''': mixed_precision,
    }
    if torch.cuda.is_available():
        __UpperCAmelCase			 =torch.cuda.device_count()
        __UpperCAmelCase			 =num_gpus
        __UpperCAmelCase			 =False
        if num_gpus > 1:
            __UpperCAmelCase			 ='''MULTI_GPU'''
        else:
            __UpperCAmelCase			 ='''NO'''
    elif is_xpu_available() and use_xpu:
        __UpperCAmelCase			 =torch.xpu.device_count()
        __UpperCAmelCase			 =num_xpus
        __UpperCAmelCase			 =False
        if num_xpus > 1:
            __UpperCAmelCase			 ='''MULTI_XPU'''
        else:
            __UpperCAmelCase			 ='''NO'''
    elif is_npu_available():
        __UpperCAmelCase			 =torch.npu.device_count()
        __UpperCAmelCase			 =num_npus
        __UpperCAmelCase			 =False
        if num_npus > 1:
            __UpperCAmelCase			 ='''MULTI_NPU'''
        else:
            __UpperCAmelCase			 ='''NO'''
    else:
        __UpperCAmelCase			 =0
        __UpperCAmelCase			 =True
        __UpperCAmelCase			 =1
        __UpperCAmelCase			 ='''NO'''
    __UpperCAmelCase			 =ClusterConfig(**_lowercase      )
    config.to_json_file(_lowercase      )
    return path




def 		SCREAMING_SNAKE_CASE     (     snake_case__				,   snake_case__      )   ->	Any:
    __UpperCAmelCase			 =parser.add_parser('''default'''				,   parents=_lowercase				,   help=_lowercase				,   formatter_class=_lowercase      )
    parser.add_argument(
        '''--config_file'''				,   default=_lowercase				,   help=(
            '''The path to use to store the config file. Will default to a file named default_config.yaml in the cache '''
            '''location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '''
            '''such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '''
            '''with \'huggingface\'.'''
        )				,   dest='''save_location'''				,   )

    parser.add_argument(
        '''--mixed_precision'''				,   choices=['''no''', '''fp16''', '''bf16''']				,   type=_lowercase				,   help='''Whether or not to use mixed precision training. '''
        '''Choose between FP16 and BF16 (bfloat16) training. '''
        '''BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later.'''				,   default='''no'''				,   )
    parser.set_defaults(func=_lowercase      )
    return parser




def 		SCREAMING_SNAKE_CASE     (     snake_case__      )   ->	Tuple:
    __UpperCAmelCase			 =write_basic_config(args.mixed_precision				,   args.save_location      )
    if config_file:
        print(f"""accelerate configuration saved at {config_file}"""      )





from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
 if not (is_transformers_available() and is_torch_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
 from .multicontrolnet import MultiControlNetModel
 from .pipeline_controlnet import StableDiffusionControlNetPipeline
 from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
 from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
 from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline


