






'''simple docstring'''





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


__A							:							Optional[int]  							=		logging.get_logger(__name__)

__A							:							str  							=		{
    """tanreinama/GPTSAN-2.8B-spout_is_uniform""": (
        """https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json"""
    ),
}
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							"gptsan-japanese"
    lowerCAmelCase__      				=							[
        "past_key_values",
    ]
    lowerCAmelCase__      				=							{
        "hidden_size": "d_model",
        "num_attention_heads": "num_heads",
        "num_hidden_layers": "num_layers",
    }

    def __init__(					self     :     Optional[int]				,     __lowerCamelCase     :     int=36000				,     __lowerCamelCase     :     Dict=1280				,     __lowerCamelCase     :     str=1024				,     __lowerCamelCase     :     Optional[Any]=8192				,     __lowerCamelCase     :     Optional[Any]=4096				,     __lowerCamelCase     :     Dict=128				,     __lowerCamelCase     :     Optional[int]=10				,     __lowerCamelCase     :     Optional[Any]=0				,     __lowerCamelCase     :     Dict=16				,     __lowerCamelCase     :     int=16				,     __lowerCamelCase     :     Tuple=128				,     __lowerCamelCase     :     Tuple=0.0				,     __lowerCamelCase     :     Union[str, Any]=1E-5				,     __lowerCamelCase     :     str=False				,     __lowerCamelCase     :     Optional[int]=0.0				,     __lowerCamelCase     :     Any="float32"				,     __lowerCamelCase     :     Optional[Any]=False				,     __lowerCamelCase     :     str=False				,     __lowerCamelCase     :     List[str]=False				,     __lowerCamelCase     :     str=0.0_0_2				,     __lowerCamelCase     :     Optional[int]=False				,     __lowerCamelCase     :     str=True				,     __lowerCamelCase     :     Union[str, Any]=35998				,     __lowerCamelCase     :     Any=35995				,     __lowerCamelCase     :     List[str]=35999				,     **__lowerCamelCase     :     Optional[int]				,     )							->							Union[str, Any]:

     '''simple docstring'''




     lowerCamelCase__  =     vocab_size
     lowerCamelCase__  =     max_position_embeddings
     lowerCamelCase__  =     d_model
     lowerCamelCase__  =     d_ff
     lowerCamelCase__  =     d_ext
     lowerCamelCase__  =     d_spout
     lowerCamelCase__  =     num_switch_layers
     lowerCamelCase__  =     num_ext_layers
     lowerCamelCase__  =     num_switch_layers + num_ext_layers
     lowerCamelCase__  =     num_heads
     lowerCamelCase__  =     num_experts
     lowerCamelCase__  =     expert_capacity
     lowerCamelCase__  =     dropout_rate
     lowerCamelCase__  =     layer_norm_epsilon
     lowerCamelCase__  =     router_bias
     lowerCamelCase__  =     router_jitter_noise
     lowerCamelCase__  =     router_dtype
     lowerCamelCase__  =     router_ignore_padding_tokens
     lowerCamelCase__  =     output_hidden_states
     lowerCamelCase__  =     output_attentions
     lowerCamelCase__  =     initializer_factor
     lowerCamelCase__  =     output_router_logits
     lowerCamelCase__  =     use_cache

     super().__init__(
         separator_token_id=__lowerCamelCase				,     pad_token_id=__lowerCamelCase				,     eos_token_id=__lowerCamelCase				,     **__lowerCamelCase				,     )









'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from packaging import version

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


__A							:							Optional[int]  							=		logging.get_logger(__name__)

__A							:							Tuple  							=		{
    """google/mobilenet_v1_1.0_224""": """https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v1_0.75_192""": """https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json""",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							"mobilenet_v1"

    def __init__(					self     :     Union[str, Any]				,     __lowerCamelCase     :     Tuple=3				,     __lowerCamelCase     :     Any=224				,     __lowerCamelCase     :     Tuple=1.0				,     __lowerCamelCase     :     Optional[int]=8				,     __lowerCamelCase     :     str="relu6"				,     __lowerCamelCase     :     Any=True				,     __lowerCamelCase     :     Union[str, Any]=0.9_9_9				,     __lowerCamelCase     :     List[Any]=0.0_2				,     __lowerCamelCase     :     str=0.0_0_1				,     **__lowerCamelCase     :     str				,     )							->							Dict:

     '''simple docstring'''




     super().__init__(**__lowerCamelCase     )

     if depth_multiplier <= 0:
      raise ValueError("depth_multiplier must be greater than zero."     )

     lowerCamelCase__  =     num_channels
     lowerCamelCase__  =     image_size
     lowerCamelCase__  =     depth_multiplier
     lowerCamelCase__  =     min_depth
     lowerCamelCase__  =     hidden_act
     lowerCamelCase__  =     tf_padding
     lowerCamelCase__  =     classifier_dropout_prob
     lowerCamelCase__  =     initializer_range
     lowerCamelCase__  =     layer_norm_eps
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							version.parse("1.11"      )

    @property
    def    a__				(					self     :     List[str]     )							->							Mapping[str, Mapping[int, str]]:

     '''simple docstring'''




     return OrderedDict([("pixel_values", {0: "batch"})]     )

    @property
    def    a__				(					self     :     str     )							->							Mapping[str, Mapping[int, str]]:

     '''simple docstring'''




     if self.task == "image-classification":
      return OrderedDict([("logits", {0: "batch"})]     )
     else:
      return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]     )




    @property
    def    a__				(					self     :     List[Any]     )							->							float:

     '''simple docstring'''




     return 1E-4

