




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 	_UpperCamelCase					( A__		,				A__						):
      @register_to_config
      def __init__(	self      :Dict       ,					lowerCamelCase      :int = 768       ,					)   ->	Union[str, Any]:
       super().__init__()

       UpperCAmelCase__							       =  nn.Parameter(torch.zeros(1       ,					_a					)					)
       UpperCAmelCase__							       =  nn.Parameter(torch.ones(1       ,					_a					)					)
      def 		UpperCAmelCase_  (	self      :Tuple       ,					lowerCamelCase      :Optional[Union[str, torch.device]] = None       ,					lowerCamelCase      :Optional[torch.dtype] = None       ,					)   ->	List[Any]:
       UpperCAmelCase__							       =  nn.Parameter(self.mean.to(_a					).to(_a					)					)
       UpperCAmelCase__							       =  nn.Parameter(self.std.to(_a					).to(_a					)					)
       return self
      def 		UpperCAmelCase_  (	self      :Tuple       ,					lowerCamelCase      :str					)   ->	str:
       UpperCAmelCase__							       =  (embeds - self.mean) * 1.0 / self.std
       return embeds







      def 		UpperCAmelCase_  (	self      :List[str]       ,					lowerCamelCase      :Optional[Any]					)   ->	Tuple:
       UpperCAmelCase__							       =  (embeds * self.std) + self.mean
       return embeds








'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase :      int					 =     {"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase :      int					 =     ["GLPNFeatureExtractor"]
     lowerCamelCase :      Optional[int]					 =     ["GLPNImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase :      Union[str, Any]					 =     [
         "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
         "GLPNForDepthEstimation",
         "GLPNLayer",
         "GLPNModel",
         "GLPNPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_glpn import GLPNFeatureExtractor
          from .image_processing_glpn import GLPNImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_glpn import (
              GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
              GLPNForDepthEstimation,
              GLPNLayer,
              GLPNModel,
              GLPNPreTrainedModel,
          )


else:
     import sys

     lowerCamelCase :      List[Any]					 =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
