





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/config.json"}




class 			__UpperCamelCase    (							A__    ):
     __A	:  Any							  =   """openai-gpt"""
     __A	:  Optional[int]							  =   {
         """max_position_embeddings""": """n_positions""",
         """hidden_size""": """n_embd""",
         """num_attention_heads""": """n_head""",
         """num_hidden_layers""": """n_layer""",
     }





     def __init__(     self				,							_UpperCamelCase=40478				,							_UpperCamelCase=512				,							_UpperCamelCase=768				,							_UpperCamelCase=12				,							_UpperCamelCase=12				,							_UpperCamelCase="gelu"				,							_UpperCamelCase=0.1				,							_UpperCamelCase=0.1				,							_UpperCamelCase=0.1				,							_UpperCamelCase=1e-5				,							_UpperCamelCase=0.02				,							_UpperCamelCase="cls_index"				,							_UpperCamelCase=True				,							_UpperCamelCase=None				,							_UpperCamelCase=True				,							_UpperCamelCase=0.1				,							**_UpperCamelCase				,							):
        _UpperCAmelCase           =   vocab_size
        _UpperCAmelCase           =   n_positions
        _UpperCAmelCase           =   n_embd
        _UpperCAmelCase           =   n_layer
        _UpperCAmelCase           =   n_head
        _UpperCAmelCase           =   afn
        _UpperCAmelCase           =   resid_pdrop
        _UpperCAmelCase           =   embd_pdrop
        _UpperCAmelCase           =   attn_pdrop
        _UpperCAmelCase           =   layer_norm_epsilon
        _UpperCAmelCase           =   initializer_range
        _UpperCAmelCase           =   summary_type
        _UpperCAmelCase           =   summary_use_proj
        _UpperCAmelCase           =   summary_activation
        _UpperCAmelCase           =   summary_first_dropout
        _UpperCAmelCase           =   summary_proj_to_labels
        super().__init__(**_UpperCamelCase					)






import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


UpperCAmelCase_           =	logging.get_logger(__name__)




class 			__UpperCamelCase    (							A__    ):





     def __init__(     self				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        warnings.warn(
            '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use GLPNImageProcessor instead.'''				,							_UpperCamelCase				,							)
        super().__init__(*_UpperCamelCase				,							**_UpperCamelCase					)