




from manim import *







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def 		snake_case	(			self ):
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      Rectangle(height=0.5      ,width=0.5 )
							SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      Rectangle(height=0.46      ,width=0.46 ).set_stroke(width=0 )

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

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

							self.add(snake_case__ )

							SCREAMING_SNAKE_CASE_   : Any					  =      [mem.copy() for i in range(6 )]
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      VGroup(*snake_case__ ).arrange(snake_case__      ,buff=0 )

							SCREAMING_SNAKE_CASE_   : Any					  =      Text('Model'      ,font_size=24 )
							SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      Group(snake_case__      ,snake_case__ ).arrange(snake_case__      ,buff=0.5      ,aligned_edge=snake_case__ )
							model.move_to([3, -1.0, 0] )

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

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

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

							SCREAMING_SNAKE_CASE_   : Tuple					  =      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(snake_case__      ,run_time=2.5 )      ,Write(snake_case__ )      ,Write(snake_case__ ) )

							self.add(snake_case__ )

							SCREAMING_SNAKE_CASE_   : List[Any]					  =      []
							SCREAMING_SNAKE_CASE_   : str					  =      []
							SCREAMING_SNAKE_CASE_   : Any					  =      []
							for i, rect in enumerate(snake_case__ ):
										SCREAMING_SNAKE_CASE_   : Optional[int]					  =      Rectangle(height=0.46      ,width=0.46 ).set_stroke(width=0.0 ).set_fill(snake_case__      ,opacity=0.7 )
										cpu_target.move_to(snake_case__ )
										cpu_target.generate_target()
										SCREAMING_SNAKE_CASE_   : List[Any]					  =      0.46 / 4
										SCREAMING_SNAKE_CASE_   : Tuple					  =      0.46 / 3

										if i == 0:
													cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT )      ,buff=0.02      ,direction=snake_case__ )
													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=snake_case__      ,buff=0.0 )
										else:
													cpu_target.target.next_to(cpu_targs[i - 1].target      ,direction=snake_case__      ,buff=0.0 )
										cpu_targs.append(snake_case__ )

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

							self.play(*snake_case__ )
							self.play(*snake_case__ )

							self.wait()









'''simple docstring'''
import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE			=						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE			=						{
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}
class   __UpperCAmelCase				(     lowerCAmelCase				):



					'''simple docstring'''





					_UpperCamelCase							=		"""mvp"""
					_UpperCamelCase							=		["""past_key_values"""]
					_UpperCamelCase							=		{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}



					def __init__(	self     :						List[str]      ,       _lowercase     :						int=50_267      ,       _lowercase     :						str=1_024      ,       _lowercase     :						int=12      ,       _lowercase     :						int=4_096      ,       _lowercase     :						Tuple=16      ,       _lowercase     :						Optional[Any]=12      ,       _lowercase     :						Union[str, Any]=4_096      ,       _lowercase     :						List[Any]=16      ,       _lowercase     :						str=0.0      ,       _lowercase     :						List[str]=0.0      ,       _lowercase     :						Dict="gelu"      ,       _lowercase     :						Union[str, Any]=1_024      ,       _lowercase     :						str=0.1      ,       _lowercase     :						List[Any]=0.0      ,       _lowercase     :						Any=0.0      ,       _lowercase     :						List[str]=0.02      ,       _lowercase     :						List[Any]=0.0      ,       _lowercase     :						List[str]=False      ,       _lowercase     :						Tuple=True      ,       _lowercase     :						Any=1      ,       _lowercase     :						Optional[Any]=0      ,       _lowercase     :						Dict=2      ,       _lowercase     :						int=True      ,       _lowercase     :						Any=2      ,       _lowercase     :						Tuple=2      ,       _lowercase     :						Optional[Any]=False      ,       _lowercase     :						List[str]=100      ,       _lowercase     :						List[str]=800      ,       **_lowercase     :						Dict      ,       )    ->							Dict:
								A_									= vocab_size
								A_									= max_position_embeddings
								A_									= d_model
								A_									= encoder_ffn_dim
								A_									= encoder_layers
								A_									= encoder_attention_heads
								A_									= decoder_ffn_dim
								A_									= decoder_layers
								A_									= decoder_attention_heads
								A_									= dropout
								A_									= attention_dropout
								A_									= activation_dropout
								A_									= activation_function
								A_									= init_std
								A_									= encoder_layerdrop
								A_									= decoder_layerdrop
								A_									= classifier_dropout
								A_									= use_cache
								A_									= encoder_layers
								A_									= scale_embedding  # scale factor will be sqrt(d_model) if True
								A_									= use_prompt
								A_									= prompt_length
								A_									= prompt_mid_dim

								super().__init__(
								    pad_token_id=_lowercase      ,       bos_token_id=_lowercase      ,       eos_token_id=_lowercase      ,       is_encoder_decoder=_lowercase      ,       decoder_start_token_id=_lowercase      ,       forced_eos_token_id=_lowercase      ,       **_lowercase      ,       )

								if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'      ,       _lowercase):
											A_									= self.bos_token_id
											warnings.warn(
											    F'Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '
											    'The config can simply be saved and uploaded again to be fixed.')




