



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


SCREAMING_SNAKE_CASE__       =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__       =      {
    '''facebook/levit-128S''': '''https://huggingface.co/facebook/levit-128S/resolve/main/config.json''',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}


class      __lowerCAmelCase     (		UpperCAmelCase_      ):
					"""simple docstring"""






					A__				:		Dict			       =    "levit"



					def __init__(     self					:       int				,					_snake_case					:       Optional[Any]=2_24				,					_snake_case					:       Tuple=3				,					_snake_case					:       Optional[int]=3				,					_snake_case					:       str=2				,					_snake_case					:       Union[str, Any]=1				,					_snake_case					:       Any=16				,					_snake_case					:       List[str]=[1_28, 2_56, 3_84]				,					_snake_case					:       Tuple=[4, 8, 12]				,					_snake_case					:       Dict=[4, 4, 4]				,					_snake_case					:       Optional[int]=[16, 16, 16]				,					_snake_case					:       List[Any]=0				,					_snake_case					:       str=[2, 2, 2]				,					_snake_case					:       Optional[Any]=[2, 2, 2]				,					_snake_case					:       Dict=0.02				,					**_snake_case					:       Union[str, Any]				,					):






								"""simple docstring"""


								super().__init__(**_snake_case					)
								A__       =    image_size
								A__       =    num_channels
								A__       =    kernel_size
								A__       =    stride
								A__       =    padding
								A__       =    hidden_sizes
								A__       =    num_attention_heads
								A__       =    depths
								A__       =    key_dim
								A__       =    drop_path_rate
								A__       =    patch_size
								A__       =    attention_ratio
								A__       =    mlp_ratio
								A__       =    initializer_range
								A__       =    [
								    ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
								    ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
								]







class      __lowerCAmelCase     (		UpperCAmelCase_      ):
					"""simple docstring"""






					A__				:		List[Any]			       =    version.parse("1.11"      )



					@property
					def     _a							(     self					:       Union[str, Any]					):






								"""simple docstring"""


								return OrderedDict(
								    [
								        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
								    ]					)



					@property
					def     _a							(     self					:       List[Any]					):






								"""simple docstring"""


								return 1E-4









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


SCREAMING_SNAKE_CASE__       =      '''sshleifer/bart-tiny-random'''
SCREAMING_SNAKE_CASE__       =      '''patrickvonplaten/t5-tiny-random'''


@require_torch
class      __lowerCAmelCase     (		unittest.TestCase      ):
					"""simple docstring"""






					@cached_property
					def     _a							(     self					:       Optional[int]					):






								"""simple docstring"""


								return AutoConfig.from_pretrained(_snake_case					)



					def     _a							(     self					:       Optional[Any]					):






								"""simple docstring"""


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



					def     _a							(     self					:       Optional[int]					):






								"""simple docstring"""


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



					def     _a							(     self					:       int					):






								"""simple docstring"""


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



					def     _a							(     self					:       str					):






								"""simple docstring"""


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



					def     _a							(     self					:       str					):






								"""simple docstring"""


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




