





from manim import *

class    lowerCAmelCase							(					__UpperCamelCase			):
 def      A_	(      self  :      Dict	)			->	List[str]:
     lowerCamelCase__    :      List[Any]					 =		Rectangle(height=0.5			,     width=0.5	)
     lowerCamelCase__    :      Optional[Any]					 =		Rectangle(height=0.4_6			,     width=0.4_6	).set_stroke(width=0	)

     lowerCamelCase__    :      Optional[int]					 =		[mem.copy() for i in range(6	)]
     lowerCamelCase__    :      Union[str, Any]					 =		[mem.copy() for i in range(6	)]
     lowerCamelCase__    :      Any					 =		VGroup(*UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0	)
     lowerCamelCase__    :      Any					 =		VGroup(*UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0	)
     lowerCamelCase__    :      int					 =		VGroup(UpperCAmelCase			,     UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0	)
     lowerCamelCase__    :      List[Any]					 =		Text('CPU'			,     font_size=24	)
     lowerCamelCase__    :      Union[str, Any]					 =		Group(UpperCAmelCase			,     UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0.5			,     aligned_edge=UpperCAmelCase	)
     cpu.move_to([-2.5, -0.5, 0]	)
     self.add(UpperCAmelCase	)

     lowerCamelCase__    :      List[Any]					 =		[mem.copy() for i in range(1	)]
     lowerCamelCase__    :      str					 =		VGroup(*UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0	)
     lowerCamelCase__    :      int					 =		Text('GPU'			,     font_size=24	)
     lowerCamelCase__    :      Optional[Any]					 =		Group(UpperCAmelCase			,     UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0.5			,     aligned_edge=UpperCAmelCase	)
     gpu.align_to(UpperCAmelCase			,     UpperCAmelCase	)
     gpu.set_x(gpu.get_x() - 1	)

     self.add(UpperCAmelCase	)

     lowerCamelCase__    :      Optional[int]					 =		[mem.copy() for i in range(6	)]
     lowerCamelCase__    :      Tuple					 =		VGroup(*UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0	)

     lowerCamelCase__    :      Dict					 =		Text('Model'			,     font_size=24	)
     lowerCamelCase__    :      Dict					 =		Group(UpperCAmelCase			,     UpperCAmelCase	).arrange(UpperCAmelCase			,     buff=0.5			,     aligned_edge=UpperCAmelCase	)
     model.move_to([3, -1.0, 0]	)

     self.play(
         Create(UpperCAmelCase			,     run_time=1	)			,     Create(UpperCAmelCase			,     run_time=1	)			,     Create(UpperCAmelCase			,     run_time=1	)			,     )

     lowerCamelCase__    :      Dict					 =		MarkupText(
         F"""First, an empty model skeleton is loaded\ninto <span fgcolor='{YELLOW}'>memory</span> without using much RAM."""			,     font_size=24			,     )

     lowerCamelCase__    :      Any					 =		Square(side_length=2.2	)
     key.move_to([-5, 2, 0]	)

     lowerCamelCase__    :      str					 =		MarkupText(
         F"""<b>Key:</b>\n\n<span fgcolor='{YELLOW}'>●</span> Empty Model"""			,     font_size=18			,     )

     key_text.move_to([-5, 2.4, 0]	)

     step_a.move_to([2, 2, 0]	)
     self.play(Write(UpperCAmelCase			,     run_time=2.5	)			,     Write(UpperCAmelCase	)			,     Write(UpperCAmelCase	)	)

     self.add(UpperCAmelCase	)

     lowerCamelCase__    :      int					 =		[]
     lowerCamelCase__    :      str					 =		[]
     lowerCamelCase__    :      Dict					 =		[]
     for i, rect in enumerate(UpperCAmelCase	):
         lowerCamelCase__    :      Union[str, Any]					 =		Rectangle(height=0.4_6			,     width=0.4_6	).set_stroke(width=0.0	).set_fill(UpperCAmelCase			,     opacity=0.7	)
         cpu_target.move_to(UpperCAmelCase	)
         cpu_target.generate_target()
         lowerCamelCase__    :      Dict					 =		0.4_6 / 4
         lowerCamelCase__    :      List[str]					 =		0.4_6 / 3

         if i == 0:
             cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT	)			,     buff=0.0_2			,     direction=UpperCAmelCase	)
             cpu_target.target.set_x(cpu_target.target.get_x() + 0.1	)
         elif i == 3:
             cpu_target.target.next_to(cpu_targs[0].target			,     direction=UpperCAmelCase			,     buff=0.0	)
         else:
             cpu_target.target.next_to(cpu_targs[i - 1].target			,     direction=UpperCAmelCase			,     buff=0.0	)
         cpu_targs.append(UpperCAmelCase	)

         first_animations.append(rect.animate(run_time=0.5	).set_stroke(UpperCAmelCase	)	)
         second_animations.append(MoveToTarget(UpperCAmelCase			,     run_time=1.5	)	)

     self.play(*UpperCAmelCase	)
     self.play(*UpperCAmelCase	)

     self.wait()












'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

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


lowercase__    :      List[str]						=    logging.get_logger(__name__)

lowercase__    :      Dict						=    {
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}


class  SCREAMING_SNAKE_CASE    (a__							):
     lowerCAmelCase					=       '''roberta'''


     def __init__(						self						,	_UpperCAmelCase=5_0265						,	_UpperCAmelCase=768						,	_UpperCAmelCase=12						,	_UpperCAmelCase=12						,	_UpperCAmelCase=3072						,	_UpperCAmelCase="gelu"						,	_UpperCAmelCase=0.1						,	_UpperCAmelCase=0.1						,	_UpperCAmelCase=512						,	_UpperCAmelCase=2						,	_UpperCAmelCase=0.02						,	_UpperCAmelCase=1e-1_2						,	_UpperCAmelCase=1						,	_UpperCAmelCase=0						,	_UpperCAmelCase=2						,	_UpperCAmelCase="absolute"						,	_UpperCAmelCase=True						,	_UpperCAmelCase=None						,	**_UpperCAmelCase						,	):

          '''simple docstring'''






          super().__init__(pad_token_id=_UpperCAmelCase						,	bos_token_id=_UpperCAmelCase						,	eos_token_id=_UpperCAmelCase						,	**_UpperCAmelCase)

          __A						: Optional[int]      =       vocab_size
          __A						: int      =       hidden_size
          __A						: Union[str, Any]      =       num_hidden_layers
          __A						: List[str]      =       num_attention_heads
          __A						: Optional[int]      =       hidden_act
          __A						: str      =       intermediate_size
          __A						: Union[str, Any]      =       hidden_dropout_prob
          __A						: Dict      =       attention_probs_dropout_prob
          __A						: int      =       max_position_embeddings
          __A						: str      =       type_vocab_size
          __A						: Any      =       initializer_range
          __A						: int      =       layer_norm_eps
          __A						: Optional[int]      =       position_embedding_type
          __A						: int      =       use_cache
          __A						: Union[str, Any]      =       classifier_dropout




class  SCREAMING_SNAKE_CASE    (a__							):


     @property
     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          if self.task == "multiple-choice":
               __A						: str      =       {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
               __A						: List[str]      =       {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ])