


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    :					Dict		):

      """simple docstring"""




      return EnvironmentCommand()

def    lowercase_	(	_A    :					List[Any]		):

      """simple docstring"""




      return EnvironmentCommand(args.accelerate_config_file		)







class     _lowercase				(							lowercase__):


       """simple docstring"""




       @staticmethod
       def 		lowerCAmelCase  (     __lowerCamelCase							:    ArgumentParser ):


             '''simple docstring'''



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





       def __init__(     self							:    Dict      ,   __lowerCamelCase							:    int      ,   *__lowerCamelCase							:    Optional[int] ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						accelerate_config_file





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       Tuple					=						"not installed"
             if is_safetensors_available():
                   import safetensors

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

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

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

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

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

             lowerCamelCase__	:       List[Any]					=						"not installed"
             lowerCamelCase__	:       Optional[int]					=						"NA"
             if is_torch_available():
                   import torch

                   lowerCamelCase__	:       Tuple					=						torch.__version__
                   lowerCamelCase__	:       Optional[Any]					=						torch.cuda.is_available()

             lowerCamelCase__	:       List[str]					=						"not installed"
             lowerCamelCase__	:       Dict					=						"NA"
             if is_tf_available():
                   import tensorflow as tf

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

             lowerCamelCase__	:       int					=						"not installed"
             lowerCamelCase__	:       List[Any]					=						"not installed"
             lowerCamelCase__	:       int					=						"not installed"
             lowerCamelCase__	:       Tuple					=						"NA"
             if is_flax_available():
                   import flax
                   import jax
                   import jaxlib

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

             lowerCamelCase__	:       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(__lowerCamelCase ) )

             return info





       @staticmethod
       def 		lowerCAmelCase  (     __lowerCamelCase							:    int ):


             '''simple docstring'''



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






import os
from pathlib import Path

def    lowercase_	(	):

      """simple docstring"""




      from torch.utils.cpp_extension import load

      lowerCamelCase__	:       Any					=						Path(_A		).resolve().parent.parent.parent / "kernels" / "deformable_detr"
      lowerCamelCase__	:       Optional[int]					=						[
          root / filename
          for filename in [
              "vision.cpp",
              os.path.join("cpu"					,      "ms_deform_attn_cpu.cpp"		),
              os.path.join("cuda"					,      "ms_deform_attn_cuda.cu"		),
          ]
      ]

      load(
          "MultiScaleDeformableAttention"					,      _A					,      with_cuda=_A					,      extra_include_paths=[str(_A		)]					,      extra_cflags=["-DWITH_CUDA=1"]					,      extra_cuda_cflags=[
              "-DCUDA_HAS_FP16=1",
              "-D__CUDA_NO_HALF_OPERATORS__",
              "-D__CUDA_NO_HALF_CONVERSIONS__",
              "-D__CUDA_NO_HALF2_OPERATORS__",
          ]					,      )

      import MultiScaleDeformableAttention as MSDA

      return MSDA


