



"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE  :						Dict    							=      {
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}


class 							lowerCamelCase_(   UpperCamelCase_    ):





					'''simple docstring'''



					lowercase__   :       List[Any]										= 'big_bird'

					def __init__(    self				,       lowerCamelCase__=5_0_3_5_8				,       lowerCamelCase__=7_6_8				,       lowerCamelCase__=1_2				,       lowerCamelCase__=1_2				,       lowerCamelCase__=3_0_7_2				,       lowerCamelCase__="gelu_new"				,       lowerCamelCase__=0.1				,       lowerCamelCase__=0.1				,       lowerCamelCase__=4_0_9_6				,       lowerCamelCase__=2				,       lowerCamelCase__=0.0_2				,       lowerCamelCase__=1e-12				,       lowerCamelCase__=True				,       lowerCamelCase__=0				,       lowerCamelCase__=1				,       lowerCamelCase__=2				,       lowerCamelCase__=6_6				,       lowerCamelCase__="block_sparse"				,       lowerCamelCase__=True				,       lowerCamelCase__=False				,       lowerCamelCase__=6_4				,       lowerCamelCase__=3				,       lowerCamelCase__=None				,       **lowerCamelCase__				,       ):
									super().__init__(
									    pad_token_id=__A				,       bos_token_id=__A				,       eos_token_id=__A				,       sep_token_id=__A				,       **__A				,       )

									_lowerCamelCase        =				vocab_size
									_lowerCamelCase        =				max_position_embeddings
									_lowerCamelCase        =				hidden_size
									_lowerCamelCase        =				num_hidden_layers
									_lowerCamelCase        =				num_attention_heads
									_lowerCamelCase        =				intermediate_size
									_lowerCamelCase        =				hidden_act
									_lowerCamelCase        =				hidden_dropout_prob
									_lowerCamelCase        =				attention_probs_dropout_prob
									_lowerCamelCase        =				initializer_range
									_lowerCamelCase        =				type_vocab_size
									_lowerCamelCase        =				layer_norm_eps
									_lowerCamelCase        =				use_cache

									_lowerCamelCase        =				rescale_embeddings
									_lowerCamelCase        =				attention_type
									_lowerCamelCase        =				use_bias
									_lowerCamelCase        =				block_size
									_lowerCamelCase        =				num_random_blocks
									_lowerCamelCase        =				classifier_dropout


class 							lowerCamelCase_(   UpperCamelCase_    ):





					'''simple docstring'''



					@property
					def 			snake_case__      (    self   ):
									if self.task == "multiple-choice":
													_lowerCamelCase        =				{0: "batch", 1: "choice", 2: "sequence"}
									else:
													_lowerCamelCase        =				{0: "batch", 1: "sequence"}
									return OrderedDict(
									    [
									        ('''input_ids''', dynamic_axis),
									        ('''attention_mask''', dynamic_axis),
									    ]   )





"""simple docstring"""
from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
			from .pipeline_kandinsky import KandinskyPipeline
			from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
			from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
			from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
			from .text_encoder import MultilingualCLIP
