






'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


SCREAMING_SNAKE_CASE__											=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__											=     {
    'Intel/dpt-large': 'https://huggingface.co/Intel/dpt-large/resolve/main/config.json',
    # See all DPT models at https://huggingface.co/models?filter=dpt
}






class        a_		(    lowerCamelCase       ):
  lowercase  	=   """dpt"""

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE=768    ,	_SCREAMING_SNAKE_CASE=12    ,	_SCREAMING_SNAKE_CASE=12    ,	_SCREAMING_SNAKE_CASE=3072    ,	_SCREAMING_SNAKE_CASE="gelu"    ,	_SCREAMING_SNAKE_CASE=0.0    ,	_SCREAMING_SNAKE_CASE=0.0    ,	_SCREAMING_SNAKE_CASE=0.0_2    ,	_SCREAMING_SNAKE_CASE=1e-12    ,	_SCREAMING_SNAKE_CASE=384    ,	_SCREAMING_SNAKE_CASE=16    ,	_SCREAMING_SNAKE_CASE=3    ,	_SCREAMING_SNAKE_CASE=False    ,	_SCREAMING_SNAKE_CASE=True    ,	_SCREAMING_SNAKE_CASE=[2, 5, 8, 11]    ,	_SCREAMING_SNAKE_CASE="project"    ,	_SCREAMING_SNAKE_CASE=[4, 2, 1, 0.5]    ,	_SCREAMING_SNAKE_CASE=[96, 192, 384, 768]    ,	_SCREAMING_SNAKE_CASE=256    ,	_SCREAMING_SNAKE_CASE=-1    ,	_SCREAMING_SNAKE_CASE=False    ,	_SCREAMING_SNAKE_CASE=True    ,	_SCREAMING_SNAKE_CASE=0.4    ,	_SCREAMING_SNAKE_CASE=255    ,	_SCREAMING_SNAKE_CASE=0.1    ,	_SCREAMING_SNAKE_CASE=[1, 1024, 24, 24]    ,	_SCREAMING_SNAKE_CASE=[0, 1]    ,	_SCREAMING_SNAKE_CASE=None    ,	**_SCREAMING_SNAKE_CASE    ,	)						->   str:



        """simple docstring"""






        super().__init__(**_SCREAMING_SNAKE_CASE   )

        UpperCamelCase       						=      hidden_size
        UpperCamelCase       						=      is_hybrid

        if self.is_hybrid:
              if backbone_config is None:
                    logger.info("""Initializing the config with a `BiT` backbone."""   )
                    UpperCamelCase       						=      {
                        """global_padding""": """same""",
                        """layer_type""": """bottleneck""",
                        """depths""": [3, 4, 9],
                        """out_features""": ["""stage1""", """stage2""", """stage3"""],
                        """embedding_dynamic_padding""": True,
                    }
                    UpperCamelCase       						=      BitConfig(**_SCREAMING_SNAKE_CASE   )
              elif isinstance(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   ):
                    logger.info("""Initializing the config with a `BiT` backbone."""   )
                    UpperCamelCase       						=      BitConfig(**_SCREAMING_SNAKE_CASE   )
              elif isinstance(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   ):
                    UpperCamelCase       						=      backbone_config
              else:
                    raise ValueError(
                        F"backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}."   )

              UpperCamelCase       						=      backbone_featmap_shape
              UpperCamelCase       						=      neck_ignore_stages

              if readout_type != "project":
                    raise ValueError("""Readout type must be 'project' when using `DPT-hybrid` mode."""   )
        else:
              UpperCamelCase       						=      None
              UpperCamelCase       						=      None
              UpperCamelCase       						=      []

        UpperCamelCase       						=      num_hidden_layers
        UpperCamelCase       						=      num_attention_heads
        UpperCamelCase       						=      intermediate_size
        UpperCamelCase       						=      hidden_act
        UpperCamelCase       						=      hidden_dropout_prob
        UpperCamelCase       						=      attention_probs_dropout_prob
        UpperCamelCase       						=      initializer_range
        UpperCamelCase       						=      layer_norm_eps
        UpperCamelCase       						=      image_size
        UpperCamelCase       						=      patch_size
        UpperCamelCase       						=      num_channels
        UpperCamelCase       						=      qkv_bias
        UpperCamelCase       						=      backbone_out_indices
        if readout_type not in ["ignore", "add", "project"]:
              raise ValueError("""Readout_type must be one of ['ignore', 'add', 'project']"""   )
        UpperCamelCase       						=      readout_type
        UpperCamelCase       						=      reassemble_factors
        UpperCamelCase       						=      neck_hidden_sizes
        UpperCamelCase       						=      fusion_hidden_size
        UpperCamelCase       						=      head_in_index
        UpperCamelCase       						=      use_batch_norm_in_fusion_residual
        # auxiliary head attributes (semantic segmentation)
        UpperCamelCase       						=      use_auxiliary_head
        UpperCamelCase       						=      auxiliary_loss_weight
        UpperCamelCase       						=      semantic_loss_ignore_index
        UpperCamelCase       						=      semantic_classifier_dropout


  def 						A__		(   self   )						->   Dict:



        """simple docstring"""






        UpperCamelCase       						=      copy.deepcopy(self.__dict__   )

        if output["backbone_config"] is not None:
              UpperCamelCase       						=      self.backbone_config.to_dict()

        UpperCamelCase       						=      self.__class__.model_type
        return output








'''simple docstring'''

# Copyright 2022 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.

import argparse
import os
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available







def 					lowercase__				(   __UpperCamelCase=None					)->				Union[str, Any]:
      if subparsers is not None:
            UpperCamelCase       						=      subparsers.add_parser("""env"""					)
      else:
            UpperCamelCase       						=      argparse.ArgumentParser("""Accelerate env command"""					)

      parser.add_argument(
          """--config_file"""	,		default=__UpperCamelCase	,		help="""The config file to use for the default values in the launching script."""					)

      if subparsers is not None:
            parser.set_defaults(func=__UpperCamelCase					)
      return parser







def 					lowercase__				(   __UpperCamelCase					)->				List[str]:
      UpperCamelCase       						=      torch.__version__
      UpperCamelCase       						=      torch.cuda.is_available()
      UpperCamelCase       						=      is_xpu_available()
      UpperCamelCase       						=      is_npu_available()

      UpperCamelCase       						=      """Not found"""
      # Get the default from the config file.
      if args.config_file is not None or os.path.isfile(__UpperCamelCase					):
            UpperCamelCase       						=      load_config_from_file(args.config_file					).to_dict()

      UpperCamelCase       						=      {
          """`Accelerate` version""": version,
          """Platform""": platform.platform(),
          """Python version""": platform.python_version(),
          """Numpy version""": np.__version__,
          """PyTorch version (GPU?)""": F"{pt_version} ({pt_cuda_available})",
          """PyTorch XPU available""": str(__UpperCamelCase					),
          """PyTorch NPU available""": str(__UpperCamelCase					),
          """System RAM""": F"{psutil.virtual_memory().total / 1024 ** 3:.2f} GB",
      }
      if pt_cuda_available:
            UpperCamelCase       						=      torch.cuda.get_device_name()

      print("""\nCopy-and-paste the text below in your GitHub issue\n"""					)
      print("""\n""".join([F"- {prop}: {val}" for prop, val in info.items()]					)					)

      print("""- `Accelerate` default config:""" if args.config_file is None else """- `Accelerate` config passed:"""					)
      UpperCamelCase       						=      (
          """\n""".join([F"\t- {prop}: {val}" for prop, val in accelerate_config.items()]					)
          if isinstance(__UpperCamelCase	,		__UpperCamelCase					)
          else F"\t{accelerate_config}"
      )
      print(__UpperCamelCase					)

      UpperCamelCase       						=      accelerate_config

      return info







def 					lowercase__				(   )->				int:
      UpperCamelCase       						=      env_command_parser()
      UpperCamelCase       						=      parser.parse_args()
      env_command(__UpperCamelCase					)
      return 0


if __name__ == "__main__":
     raise SystemExit(main())
