





'''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    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      return EnvironmentCommand()
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      return EnvironmentCommand(args.accelerate_config_file  )





class  UpperCAmelCase     (			snake_case_   ):




      @staticmethod
      def 				lowercase__    (			__snake_case			: ArgumentParser  )				->      Optional[Any]:
            _lowerCAmelCase							     =							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			: Dict			,			__snake_case			: Optional[Any]			,			*__snake_case			: Dict  )				->      None:
            _lowerCAmelCase							     =							accelerate_config_file




      def 				lowercase__    (			self			: Optional[int]  )				->      Dict:
            _lowerCAmelCase							     =							"""not installed"""
            if is_safetensors_available():
                  import safetensors

                  _lowerCAmelCase							     =							safetensors.__version__
            elif importlib.util.find_spec("""safetensors"""  ) is not None:
                  import safetensors

                  _lowerCAmelCase							     =							f"{safetensors.__version__} but is ignored because of PyTorch version too old."

            _lowerCAmelCase							     =							"""not installed"""
            _lowerCAmelCase							     =							_lowerCAmelCase							     =							"""not found"""
            if is_accelerate_available():
                  import accelerate
                  from accelerate.commands.config import default_config_file, load_config_from_file

                  _lowerCAmelCase							     =							accelerate.__version__
                  # Get the default from the config file.
                  if self._accelerate_config_file is not None or os.path.isfile(__snake_case  ):
                        _lowerCAmelCase							     =							load_config_from_file(self._accelerate_config_file  ).to_dict()

                  _lowerCAmelCase							     =							(
                      """\n""".join([f"\t- {prop}: {val}" for prop, val in accelerate_config.items()]  )
                      if isinstance(__snake_case			,			__snake_case  )
                      else f"\t{accelerate_config}"
                  )

            _lowerCAmelCase							     =							"""not installed"""
            _lowerCAmelCase							     =							"""NA"""
            if is_torch_available():
                  import torch

                  _lowerCAmelCase							     =							torch.__version__
                  _lowerCAmelCase							     =							torch.cuda.is_available()

            _lowerCAmelCase							     =							"""not installed"""
            _lowerCAmelCase							     =							"""NA"""
            if is_tf_available():
                  import tensorflow as tf

                  _lowerCAmelCase							     =							tf.__version__
                  try:
                        # deprecated in v2.1
                        _lowerCAmelCase							     =							tf.test.is_gpu_available()
                  except AttributeError:
                        # returns list of devices, convert to bool
                        _lowerCAmelCase							     =							bool(tf.config.list_physical_devices("""GPU"""  )  )

            _lowerCAmelCase							     =							"""not installed"""
            _lowerCAmelCase							     =							"""not installed"""
            _lowerCAmelCase							     =							"""not installed"""
            _lowerCAmelCase							     =							"""NA"""
            if is_flax_available():
                  import flax
                  import jax
                  import jaxlib

                  _lowerCAmelCase							     =							flax.__version__
                  _lowerCAmelCase							     =							jax.__version__
                  _lowerCAmelCase							     =							jaxlib.__version__
                  _lowerCAmelCase							     =							jax.lib.xla_bridge.get_backend().platform

            _lowerCAmelCase							     =							{
                """`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 				lowercase__    (			__snake_case			: str  )				->      Dict:
            return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]  ) + "\n"












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase_									=	{
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_									=	['VisionEncoderDecoderModel']

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_									=	['TFVisionEncoderDecoderModel']

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase_									=	['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
       from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
       import sys

       UpperCAmelCase_									=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

