


"""simple docstring"""

from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


if TYPE_CHECKING:
       from ... import FeatureExtractionMixin, TensorType

UpperCAmelCase__					=logging.get_logger(__name__)

UpperCAmelCase__					={
    "openai/imagegpt-small": "",
    "openai/imagegpt-medium": "",
    "openai/imagegpt-large": "",
}





class  lowerCamelCase__    (		_a     ):
      a			:  Any           =		"""imagegpt"""
      a			:  List[str]           =		["""past_key_values"""]
      a			:  Any           =		{
          """hidden_size""": """n_embd""",
          """max_position_embeddings""": """n_positions""",
          """num_attention_heads""": """n_head""",
          """num_hidden_layers""": """n_layer""",
      }
      def __init__(		self						:						List[str]   ,							A_						:						Tuple=5_1_2 + 1   ,							A_						:						Union[str, Any]=3_2 * 3_2   ,							A_						:						Any=5_1_2   ,							A_						:						List[str]=2_4   ,							A_						:						Optional[Any]=8   ,							A_						:						Tuple=None   ,							A_						:						int="quick_gelu"   ,							A_						:						List[str]=0.1   ,							A_						:						List[str]=0.1   ,							A_						:						Dict=0.1   ,							A_						:						Optional[int]=1e-5   ,							A_						:						Dict=0.02   ,							A_						:						Optional[int]=True   ,							A_						:						List[str]=True   ,							A_						:						Optional[Any]=False   ,							A_						:						str=False   ,							A_						:						int=False   ,							**A_						:						Dict   ,							):






       '''simple docstring'''


       __lowercase						=						vocab_size
       __lowercase						=						n_positions
       __lowercase						=						n_embd
       __lowercase						=						n_layer
       __lowercase						=						n_head
       __lowercase						=						n_inner
       __lowercase						=						activation_function
       __lowercase						=						resid_pdrop
       __lowercase						=						embd_pdrop
       __lowercase						=						attn_pdrop
       __lowercase						=						layer_norm_epsilon
       __lowercase						=						initializer_range
       __lowercase						=						scale_attn_weights
       __lowercase						=						use_cache
       __lowercase						=						scale_attn_by_inverse_layer_idx
       __lowercase						=						reorder_and_upcast_attn
       __lowercase						=						tie_word_embeddings

       super().__init__(tie_word_embeddings=A_   ,							**A_				)






class  lowerCamelCase__    (		_a     ):
      @property
      def SCREAMING_SNAKE_CASE_						(		self						:						Tuple				):






       '''simple docstring'''


       return OrderedDict(
           [
               ("""input_ids""", {0: """batch""", 1: """sequence"""}),
           ]				)






      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]   ,							A_						:						"FeatureExtractionMixin"   ,							A_						:						int = 1   ,							A_						:						int = -1   ,							A_						:						bool = False   ,							A_						:						Optional["TensorType"] = None   ,							A_						:						int = 3   ,							A_						:						int = 3_2   ,							A_						:						int = 3_2   ,							):






       '''simple docstring'''


       __lowercase						=						self._generate_dummy_images(A_   ,							A_   ,							A_   ,							A_				)
       __lowercase						=						dict(preprocessor(images=A_   ,							return_tensors=A_				)				)

       return inputs




"""simple docstring"""

from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version


def lowerCAmelCase_   (					UpperCamelCase__						:			str					, UpperCamelCase__						:			str					, UpperCamelCase__						:			Optional[str] = None			):






 """simple docstring"""







 if version.parse(hfh.__version__			).release < version.parse("""0.11.0"""			).release:
  # old versions of hfh don't url-encode the file path
  __lowercase						=						quote(UpperCamelCase__			)
 return hfh.hf_hub_url(UpperCamelCase__					, UpperCamelCase__					, repo_type="""dataset"""					, revision=UpperCamelCase__			)
