






'''simple docstring'''



import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


SCREAMING_SNAKE_CASE							=						HUGGINGFACE_HUB_CACHE


SCREAMING_SNAKE_CASE							=						'config.json'
SCREAMING_SNAKE_CASE							=						'diffusion_pytorch_model.bin'
SCREAMING_SNAKE_CASE							=						'diffusion_flax_model.msgpack'
SCREAMING_SNAKE_CASE							=						'model.onnx'
SCREAMING_SNAKE_CASE							=						'diffusion_pytorch_model.safetensors'
SCREAMING_SNAKE_CASE							=						'weights.pb'
SCREAMING_SNAKE_CASE							=						'https://huggingface.co'
SCREAMING_SNAKE_CASE							=						default_cache_path
SCREAMING_SNAKE_CASE							=						'diffusers_modules'
SCREAMING_SNAKE_CASE							=						os.getenv('HF_MODULES_CACHE', os.path.join(hf_cache_home, 'modules'))
SCREAMING_SNAKE_CASE							=						['fp16', 'non-ema']
SCREAMING_SNAKE_CASE							=						'.self_attn'











'''simple docstring'''



import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand


def 				lowercase_					(     __A			:							List[Any]      )							->   Union[str, Any]:



 """simple docstring"""




 return EnvironmentCommand()


def 				lowercase_					(     __A			:							int      )							->   Dict:



 """simple docstring"""




 return EnvironmentCommand(args.accelerate_config_file      )





class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      @staticmethod
      def 					A__   (			UpperCAmelCase      :		ArgumentParser		)	->	List[str]:


       '''simple docstring'''

       lowercase       : Optional[int]						=parser.add_parser('''env'''		)
       download_parser.set_defaults(func=UpperCAmelCase		)
       download_parser.add_argument(
           '''--accelerate-config_file'''  ,   default=UpperCAmelCase  ,   help='''The accelerate config file to use for the default values in the launching script.'''  ,   )
       download_parser.set_defaults(func=UpperCAmelCase		)






      def __init__(			self      :		Dict  ,   UpperCAmelCase      :		Tuple  ,   *UpperCAmelCase      :		Tuple		)	->	None:


       '''simple docstring'''

       lowercase       : List[str]						=accelerate_config_file






      def 					A__   (			self      :		Tuple		)	->	int:


       '''simple docstring'''

       lowercase       : Optional[Any]						='''not installed'''
       if is_safetensors_available():
        import safetensors

        lowercase       : List[Any]						=safetensors.__version__
       elif importlib.util.find_spec('''safetensors'''		) is not None:
        import safetensors

        lowercase       : List[str]						=f'{safetensors.__version__} but is ignored because of PyTorch version too old.'

       lowercase       : List[str]						='''not installed'''
       lowercase       : str						='''not found'''
       if is_accelerate_available():
        import accelerate
        from accelerate.commands.config import default_config_file, load_config_from_file

        lowercase       : List[str]						=accelerate.__version__
        # Get the default from the config file.
        if self._accelerate_config_file is not None or os.path.isfile(UpperCAmelCase		):
         lowercase       : Dict						=load_config_from_file(self._accelerate_config_file		).to_dict()

        lowercase       : Optional[int]						=(
            '''\n'''.join([f'\t- {prop}: {val}' for prop, val in accelerate_config.items()]		)
            if isinstance(UpperCAmelCase  ,   UpperCAmelCase		)
            else f'\t{accelerate_config}'
        )

       lowercase       : Optional[int]						='''not installed'''
       lowercase       : Optional[Any]						='''NA'''
       if is_torch_available():
        import torch

        lowercase       : List[Any]						=torch.__version__
        lowercase       : Dict						=torch.cuda.is_available()

       lowercase       : Optional[Any]						='''not installed'''
       lowercase       : List[str]						='''NA'''
       if is_tf_available():
        import tensorflow as tf

        lowercase       : List[Any]						=tf.__version__
        try:
         # deprecated in v2.1
         lowercase       : Optional[Any]						=tf.test.is_gpu_available()
        except AttributeError:
         # returns list of devices, convert to bool
         lowercase       : Optional[int]						=bool(tf.config.list_physical_devices('''GPU'''		)		)

       lowercase       : Optional[Any]						='''not installed'''
       lowercase       : Optional[Any]						='''not installed'''
       lowercase       : Optional[Any]						='''not installed'''
       lowercase       : List[str]						='''NA'''
       if is_flax_available():
        import flax
        import jax
        import jaxlib

        lowercase       : Dict						=flax.__version__
        lowercase       : List[Any]						=jax.__version__
        lowercase       : Any						=jaxlib.__version__
        lowercase       : Tuple						=jax.lib.xla_bridge.get_backend().platform

       lowercase       : str						={
           '''`transformers` version''': version,
           '''Platform''': platform.platform(),
           '''Python version''': platform.python_version(),
           '''Huggingface_hub version''': huggingface_hub.__version__,
           '''Safetensors version''': f'{safetensors_version}',
           '''Accelerate version''': f'{accelerate_version}',
           '''Accelerate config''': f'{accelerate_config_str}',
           '''PyTorch version (GPU?)''': f'{pt_version} ({pt_cuda_available})',
           '''Tensorflow version (GPU?)''': f'{tf_version} ({tf_cuda_available})',
           '''Flax version (CPU?/GPU?/TPU?)''': f'{flax_version} ({jax_backend})',
           '''Jax version''': f'{jax_version}',
           '''JaxLib version''': f'{jaxlib_version}',
           '''Using GPU in script?''': '''<fill in>''',
           '''Using distributed or parallel set-up in script?''': '''<fill in>''',
       }

       print('''\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'''		)
       print(self.format_dict(UpperCAmelCase		)		)

       return info






      @staticmethod
      def 					A__   (			UpperCAmelCase      :		Any		)	->	Any:


       '''simple docstring'''

       return "\n".join([f'- {prop}: {val}' for prop, val in d.items()]		) + "\n"



