
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_ 			=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_ 			=     {
    """microsoft/swinv2-tiny-patch4-window8-256""": (
        """https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json"""
    ),
}
class 	lowerCAmelCase_						(							UpperCAmelCase__      ):



							'''simple docstring'''





							_snake_case			=						'''swinv2'''

							_snake_case			=						{
							    '''num_attention_heads''': '''num_heads''',
							    '''num_hidden_layers''': '''num_layers''',
							}




							def __init__(      self  ,							snake_case_=224  ,							snake_case_=4  ,							snake_case_=3  ,							snake_case_=96  ,							snake_case_=[2, 2, 6, 2]  ,							snake_case_=[3, 6, 12, 24]  ,							snake_case_=7  ,							snake_case_=4.0  ,							snake_case_=True  ,							snake_case_=0.0  ,							snake_case_=0.0  ,							snake_case_=0.1  ,							snake_case_="gelu"  ,							snake_case_=False  ,							snake_case_=0.02  ,							snake_case_=1e-5  ,							snake_case_=32  ,							**snake_case_  ,							)    ->   Any:
													super().__init__(**UpperCAmelCase__							)

													__lowerCAmelCase   					=   image_size
													__lowerCAmelCase   					=   patch_size
													__lowerCAmelCase   					=   num_channels
													__lowerCAmelCase   					=   embed_dim
													__lowerCAmelCase   					=   depths
													__lowerCAmelCase   					=   len(UpperCAmelCase__							)
													__lowerCAmelCase   					=   num_heads
													__lowerCAmelCase   					=   window_size
													__lowerCAmelCase   					=   mlp_ratio
													__lowerCAmelCase   					=   qkv_bias
													__lowerCAmelCase   					=   hidden_dropout_prob
													__lowerCAmelCase   					=   attention_probs_dropout_prob
													__lowerCAmelCase   					=   drop_path_rate
													__lowerCAmelCase   					=   hidden_act
													__lowerCAmelCase   					=   use_absolute_embeddings
													__lowerCAmelCase   					=   layer_norm_eps
													__lowerCAmelCase   					=   initializer_range
													__lowerCAmelCase   					=   encoder_stride
													# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
													# this indicates the channel dimension after the last stage of the model
													__lowerCAmelCase   					=   int(embed_dim * 2 ** (len(UpperCAmelCase__							) - 1)							)
													__lowerCAmelCase   					=   (0, 0, 0, 0)






import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


_lowerCamelCase	:		List[Any]							       =   """sshleifer/bart-tiny-random"""
_lowerCamelCase	:		List[Any]							       =   """patrickvonplaten/t5-tiny-random"""


@require_torch
class 				UpperCamelCase_    ( unittest.TestCase     ):

    '''simple docstring'''






    @cached_property
    def        SCREAMING_SNAKE_CASE							(			self      :	Union[str, Any])						->int:





           '''simple docstring'''

           return AutoConfig.from_pretrained(UpperCAmelCase__)


    def        SCREAMING_SNAKE_CASE							(			self      :	List[str])						->Any:





           '''simple docstring'''

           A__ ,							*A__       =    create_student_by_copying_alternating_layers(UpperCAmelCase__					, tempfile.mkdtemp()					, e=1					, d=1)
           self.assertEqual(student.config.num_hidden_layers					, 1)


    def        SCREAMING_SNAKE_CASE							(			self      :	int)						->Any:





           '''simple docstring'''

           A__ ,							*A__       =    create_student_by_copying_alternating_layers(UpperCAmelCase__					, tempfile.mkdtemp()					, e=1					, d=UpperCAmelCase__)


    def        SCREAMING_SNAKE_CASE							(			self      :	Union[str, Any])						->Union[str, Any]:





           '''simple docstring'''

           A__ ,							*A__       =    create_student_by_copying_alternating_layers(UpperCAmelCase__					, tempfile.mkdtemp()					, e=1					, d=UpperCAmelCase__)
           self.assertEqual(student.config.encoder_layers					, 1)
           self.assertEqual(student.config.decoder_layers					, self.teacher_config.encoder_layers)


    def        SCREAMING_SNAKE_CASE							(			self      :	Dict)						->int:





           '''simple docstring'''

           A__ ,							*A__       =    create_student_by_copying_alternating_layers(UpperCAmelCase__					, tempfile.mkdtemp()					, e=1					, d=1)
           self.assertEqual(student.config.encoder_layers					, 1)
           self.assertEqual(student.config.decoder_layers					, 1)





    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->List[Any]:





           '''simple docstring'''

           with self.assertRaises(UpperCAmelCase__):
                  create_student_by_copying_alternating_layers(UpperCAmelCase__					, tempfile.mkdtemp()					, e=UpperCAmelCase__					, d=UpperCAmelCase__)


