



"""simple docstring"""




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


_UpperCamelCase:					int     				=	logging.get_logger(__name__)

_UpperCamelCase:					Union[str, Any]     				=	{
    'ZinengTang/tvlt-base': 'https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json',
}


class 	a__		(    SCREAMING_SNAKE_CASE__  ):
   _lowerCamelCase       				=					'tvlt'


   def __init__(				self   :				int,  lowerCAmelCase   :				Tuple=224,  lowerCAmelCase   :				List[Any]=2048,  lowerCAmelCase   :				Union[str, Any]=128,  lowerCAmelCase   :				str=[16, 16],  lowerCAmelCase   :				List[Any]=[16, 16],  lowerCAmelCase   :				Any=3,  lowerCAmelCase   :				List[Any]=1,  lowerCAmelCase   :				List[str]=8,  lowerCAmelCase   :				Optional[Any]=768,  lowerCAmelCase   :				Optional[Any]=12,  lowerCAmelCase   :				Any=12,  lowerCAmelCase   :				Any=3072,  lowerCAmelCase   :				Union[str, Any]="gelu",  lowerCAmelCase   :				Optional[Any]=0.0,  lowerCAmelCase   :				Tuple=0.0,  lowerCAmelCase   :				Union[str, Any]=0.02,  lowerCAmelCase   :				List[Any]=1e-6,  lowerCAmelCase   :				Optional[Any]=True,  lowerCAmelCase   :				List[str]=False,  lowerCAmelCase   :				Any=16,  lowerCAmelCase   :				Tuple=512,  lowerCAmelCase   :				Any=8,  lowerCAmelCase   :				List[str]=2048,  lowerCAmelCase   :				Any=0.75,  lowerCAmelCase   :				Union[str, Any]=0.15,  lowerCAmelCase   :				Optional[int]="frame-level",  lowerCAmelCase   :				Optional[Any]=True,  lowerCAmelCase   :				List[Any]=True,  lowerCAmelCase   :				Any="classification",  **lowerCAmelCase   :				Any,  )     ->							Dict:
         super().__init__(**lowerCAmelCase      )

         if audio_mask_type not in ("frame-level", "patch_level"):
               raise ValueError(
                   'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
                   f'''got {audio_mask_type}'''      )

         lowercase	:   str											= image_size
         lowercase	:   Any											= spectrogram_length
         lowercase	:   List[Any]											= frequency_length
         lowercase	:   List[Any]											= image_patch_size
         lowercase	:   Tuple											= audio_patch_size
         lowercase	:   Dict											= num_image_channels
         lowercase	:   Union[str, Any]											= num_audio_channels
         lowercase	:   List[str]											= num_frames

         lowercase	:   List[str]											= hidden_size
         lowercase	:   Any											= num_hidden_layers
         lowercase	:   Dict											= num_attention_heads
         lowercase	:   int											= intermediate_size
         lowercase	:   str											= hidden_act
         lowercase	:   List[Any]											= hidden_dropout_prob
         lowercase	:   Optional[Any]											= attention_probs_dropout_prob
         lowercase	:   int											= initializer_range
         lowercase	:   Union[str, Any]											= layer_norm_eps
         lowercase	:   Tuple											= qkv_bias
         lowercase	:   List[Any]											= use_mean_pooling

         lowercase	:   Optional[int]											= decoder_num_attention_heads
         lowercase	:   Optional[int]											= decoder_hidden_size
         lowercase	:   Tuple											= decoder_num_hidden_layers
         lowercase	:   Dict											= decoder_intermediate_size
         lowercase	:   Any											= pixel_mask_ratio
         lowercase	:   List[str]											= audio_mask_ratio
         lowercase	:   int											= audio_mask_type

         lowercase	:   Optional[Any]											= task_matching
         lowercase	:   int											= task_mae
         lowercase	:   Union[str, Any]											= loss_type





"""simple docstring"""




from typing import TYPE_CHECKING

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


_UpperCamelCase:					Optional[Any]     				=	{
    'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
    'tokenization_codegen': ['CodeGenTokenizer'],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					Union[str, Any]     				=	['CodeGenTokenizerFast']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					str     				=	[
         'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
         'CodeGenForCausalLM',
         'CodeGenModel',
         'CodeGenPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
     from .tokenization_codegen import CodeGenTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_codegen_fast import CodeGenTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_codegen import (
              CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
              CodeGenForCausalLM,
              CodeGenModel,
              CodeGenPreTrainedModel,
          )

else:
     import sys

     _UpperCamelCase:					int     				=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
