'''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  _lowerCamelCase   (				lowerCamelCase_ :							Optional[Any]       ):



     """simple docstring"""





     return EnvironmentCommand()


def  _lowerCamelCase   (				lowerCamelCase_ :							Tuple       ):



     """simple docstring"""





     return EnvironmentCommand(args.accelerate_config_file       )






class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_	):







  '''simple docstring'''






  @staticmethod
  def _UpperCamelCase					(			snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       Any       =				parser.add_parser('env'						)
       download_parser.set_defaults(func=snake_case_						)
       download_parser.add_argument(
           '--accelerate-config_file'				,		default=snake_case_				,		help='The accelerate config file to use for the default values in the launching script.'				,		)
       download_parser.set_defaults(func=snake_case_						)


  def __init__(			self				,		snake_case_				,		*snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       str       =				accelerate_config_file


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

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

            UpperCAmelCase_							:       Dict       =				safetensors.__version__
       elif importlib.util.find_spec('safetensors'						) is not None:
            import safetensors

            UpperCAmelCase_							:       Optional[Any]       =				F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

       UpperCAmelCase_							:       Any       =				'not installed'
       UpperCAmelCase_							:       int       =				'not found'
       if is_accelerate_available():
            import accelerate
            from accelerate.commands.config import default_config_file, load_config_from_file

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

            UpperCAmelCase_							:       Union[str, Any]       =				(
                '\n'.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]						)
                if isinstance(snake_case_				,		snake_case_						)
                else F'''\t{accelerate_config}'''
            )

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

            UpperCAmelCase_							:       List[str]       =				torch.__version__
            UpperCAmelCase_							:       Optional[Any]       =				torch.cuda.is_available()

       UpperCAmelCase_							:       Union[str, Any]       =				'not installed'
       UpperCAmelCase_							:       List[Any]       =				'NA'
       if is_tf_available():
            import tensorflow as tf

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

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

            UpperCAmelCase_							:       Tuple       =				flax.__version__
            UpperCAmelCase_							:       Union[str, Any]       =				jax.__version__
            UpperCAmelCase_							:       int       =				jaxlib.__version__
            UpperCAmelCase_							:       Optional[Any]       =				jax.lib.xla_bridge.get_backend().platform

       UpperCAmelCase_							:       Union[str, Any]       =				{
           '`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(snake_case_						)						)

       return info






  @staticmethod
  def _UpperCamelCase					(			snake_case_						):




       '''simple docstring'''

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







'''simple docstring'''


from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin






class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_						,     lowerCamelCase_	):







  '''simple docstring'''






  @register_to_config
  def __init__(			self				,		snake_case_ = 7_6_8				,		):




       '''simple docstring'''

       super().__init__()

       UpperCAmelCase_							:       int       =				nn.Parameter(torch.zeros(1				,		snake_case_						)						)
       UpperCAmelCase_							:       str       =				nn.Parameter(torch.ones(1				,		snake_case_						)						)


  def _UpperCamelCase					(			self				,		snake_case_ = None				,		snake_case_ = None				,		):




       '''simple docstring'''

       UpperCAmelCase_							:       int       =				nn.Parameter(self.mean.to(snake_case_						).to(snake_case_						)						)
       UpperCAmelCase_							:       Tuple       =				nn.Parameter(self.std.to(snake_case_						).to(snake_case_						)						)
       return self


  def _UpperCamelCase					(			self				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       Dict       =				(embeds - self.mean) * 1.0 / self.std
       return embeds






  def _UpperCamelCase					(			self				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[Any]       =				(embeds * self.std) + self.mean
       return embeds






