


import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import (
    TaBlock,
    TaConfig,
    TaLayerNorm,
)

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin







class 					lowerCAmelCase__	(    a					,   a					,   a):




     '''simple docstring'''


     @register_to_config
     def __init__(						self			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase			,						__lowerCamelCase = False			,						)      ->    Dict:
            super().__init__()

            _A				:	Tuple       =			nn.Linear(__lowerCamelCase			,						__lowerCamelCase			,						bias=__lowerCamelCase)

            _A				:	Any       =			nn.Embedding(__lowerCamelCase			,						__lowerCamelCase)
            _A				:	Optional[Any]       =			False

            _A				:	Optional[int]       =			nn.Dropout(p=__lowerCamelCase)

            _A				:	Tuple       =			TaConfig(
                d_model=__lowerCamelCase			,						num_heads=__lowerCamelCase			,						d_kv=__lowerCamelCase			,						d_ff=__lowerCamelCase			,						feed_forward_proj=__lowerCamelCase			,						dropout_rate=__lowerCamelCase			,						is_decoder=__lowerCamelCase			,						is_encoder_decoder=__lowerCamelCase			,						)
            _A				:	List[str]       =			nn.ModuleList()
            for lyr_num in range(__lowerCamelCase):
                   _A				:	str       =			TaBlock(__lowerCamelCase)
                   self.encoders.append(__lowerCamelCase)

            _A				:	List[str]       =			TaLayerNorm(__lowerCamelCase)
            _A				:	Union[str, Any]       =			nn.Dropout(p=__lowerCamelCase)


     def 			_lowerCamelCase			(						self			,						__lowerCamelCase			,						__lowerCamelCase)      ->    Any:
            _A				:	Optional[int]       =			self.input_proj(__lowerCamelCase)

            # terminal relative positional encodings
            _A				:	int       =			encoder_inputs.shape[1]
            _A				:	str       =			torch.arange(__lowerCamelCase			,						device=encoder_inputs.device)

            _A				:	Union[str, Any]       =			encoder_inputs_mask.sum(-1)
            _A				:	int       =			torch.roll(input_positions.unsqueeze(0)			,						tuple(seq_lens.tolist())			,						dims=0)
            x += self.position_encoding(__lowerCamelCase)

            _A				:	int       =			self.dropout_pre(__lowerCamelCase)

            # inverted the attention mask
            _A				:	List[Any]       =			encoder_inputs.size()
            _A				:	Any       =			self.get_extended_attention_mask(__lowerCamelCase			,						__lowerCamelCase)

            for lyr in self.encoders:
                   _A				:	Dict       =			lyr(__lowerCamelCase			,						__lowerCamelCase)[0]
            _A				:	List[str]       =			self.layer_norm(__lowerCamelCase)

            return self.dropout_post(__lowerCamelCase), encoder_inputs_mask




from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


lowerCAmelCase__						=			datasets.utils.logging.get_logger(__name__)







class 					lowerCAmelCase__	(    folder_based_builder.FolderBasedBuilderConfig):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE        =			None
     __SCREAMING_SNAKE_CASE        =			None







class 					lowerCAmelCase__	(    folder_based_builder.FolderBasedBuilder):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE        =			datasets.Image()
     __SCREAMING_SNAKE_CASE        =			"image"
     __SCREAMING_SNAKE_CASE        =			ImageFolderConfig
     __SCREAMING_SNAKE_CASE        =			42  # definition at the bottom of the script
     __SCREAMING_SNAKE_CASE        =			ImageClassification(image_column="image"					,   label_column="label")




lowerCAmelCase__						=			[
    '.blp',
    '.bmp',
    '.dib',
    '.bufr',
    '.cur',
    '.pcx',
    '.dcx',
    '.dds',
    '.ps',
    '.eps',
    '.fit',
    '.fits',
    '.fli',
    '.flc',
    '.ftc',
    '.ftu',
    '.gbr',
    '.gif',
    '.grib',
    '.h5',
    '.hdf',
    '.png',
    '.apng',
    '.jp2',
    '.j2k',
    '.jpc',
    '.jpf',
    '.jpx',
    '.j2c',
    '.icns',
    '.ico',
    '.im',
    '.iim',
    '.tif',
    '.tiff',
    '.jfif',
    '.jpe',
    '.jpg',
    '.jpeg',
    '.mpg',
    '.mpeg',
    '.msp',
    '.pcd',
    '.pxr',
    '.pbm',
    '.pgm',
    '.ppm',
    '.pnm',
    '.psd',
    '.bw',
    '.rgb',
    '.rgba',
    '.sgi',
    '.ras',
    '.tga',
    '.icb',
    '.vda',
    '.vst',
    '.webp',
    '.wmf',
    '.emf',
    '.xbm',
    '.xpm',
]
lowerCAmelCase__						=			IMAGE_EXTENSIONS
