


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


snake_case							: Optional[int]					    =   logging.get_logger(__name__)

snake_case							: Optional[Any]					    =   {
    '''facebook/nllb-moe-54B''': '''https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json''',
}







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					str					   =    '''nllb-moe'''
					UpperCAmelCase__      :					Union[str, Any]					   =    ['''past_key_values''']
					UpperCAmelCase__      :					List[Any]					   =    {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}
					def __init__(   self     :Dict    ,__snake_case     :Union[str, Any]=12_81_12    ,__snake_case     :Optional[int]=10_24    ,__snake_case     :Union[str, Any]=12    ,__snake_case     :str=40_96    ,__snake_case     :Union[str, Any]=16    ,__snake_case     :List[str]=12    ,__snake_case     :Optional[Any]=40_96    ,__snake_case     :List[str]=16    ,__snake_case     :str=0.05    ,__snake_case     :Optional[int]=0.05    ,__snake_case     :Optional[Any]=True    ,__snake_case     :int=True    ,__snake_case     :Dict="relu"    ,__snake_case     :Any=10_24    ,__snake_case     :Any=0.1    ,__snake_case     :List[Any]=0.1    ,__snake_case     :Any=0.0    ,__snake_case     :Dict=0.02    ,__snake_case     :List[str]=2    ,__snake_case     :str=True    ,__snake_case     :Any=False    ,__snake_case     :Any="float32"    ,__snake_case     :Optional[int]=False    ,__snake_case     :Tuple=1_28    ,__snake_case     :Tuple=64    ,__snake_case     :Dict=4    ,__snake_case     :Union[str, Any]=4    ,__snake_case     :Any=0.0_01    ,__snake_case     :str=0.0_01    ,__snake_case     :List[str]="all"    ,__snake_case     :Optional[int]=False    ,__snake_case     :Any=False    ,__snake_case     :Optional[Any]=1.0    ,__snake_case     :int=0.2    ,__snake_case     :Union[str, Any]=1    ,__snake_case     :List[Any]=0    ,__snake_case     :Optional[int]=2    ,__snake_case     :Optional[Any]=False    ,**__snake_case     :Optional[int]    ,)      ->					Optional[Any]:
												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__    =  use_cache
												a__    =  encoder_layers
												a__    =  scale_embedding  # scale factor will be sqrt(d_model) if True
												a__    =  router_z_loss_coef
												a__    =  router_aux_loss_coef
												a__    =  decoder_sparse_step
												a__    =  encoder_sparse_step
												a__    =  num_experts
												a__    =  expert_capacity
												a__    =  router_bias
												if router_dtype not in ["float32", "float16", "bfloat16"]:
																			raise ValueError(F'`router_dtype` must be one of \'float32\', \'float16\' or \'bfloat16\', got {router_dtype}'   )
												a__    =  router_dtype

												a__    =  router_ignore_padding_tokens
												a__    =  batch_prioritized_routing
												a__    =  second_expert_policy
												a__    =  normalize_router_prob_before_dropping
												a__    =  moe_eval_capacity_token_fraction
												a__    =  moe_token_dropout
												a__    =  output_router_logits
												super().__init__(
												    pad_token_id=_SCREAMING_SNAKE_CASE    ,bos_token_id=_SCREAMING_SNAKE_CASE    ,eos_token_id=_SCREAMING_SNAKE_CASE    ,is_encoder_decoder=_SCREAMING_SNAKE_CASE    ,decoder_start_token_id=_SCREAMING_SNAKE_CASE    ,**_SCREAMING_SNAKE_CASE    ,)








from manim import *







class  snake_case_     (lowerCamelCase_   ):
					def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					Optional[int]:
												a__    =  Rectangle(height=0.5    ,width=0.5   )
												a__    =  Rectangle(height=0.46    ,width=0.46   ).set_stroke(width=0   )

												a__    =  Rectangle(height=0.25    ,width=0.25   )

												a__    =  [mem.copy() for i in range(6   )]
												a__    =  [mem.copy() for i in range(6   )]
												a__    =  VGroup(*__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  VGroup(*__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  VGroup(__snake_case    ,__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  Text('CPU'    ,font_size=24   )
												a__    =  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   )

												a__    =  [mem.copy() for i in range(4   )]
												a__    =  VGroup(*__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  Text('GPU'    ,font_size=24   )
												a__    =  Group(__snake_case    ,__snake_case   ).arrange(__snake_case    ,buff=0.5    ,aligned_edge=__snake_case   )
												gpu.move_to([-1, -1, 0]   )
												self.add(__snake_case   )

												a__    =  [mem.copy() for i in range(6   )]
												a__    =  VGroup(*__snake_case   ).arrange(__snake_case    ,buff=0   )

												a__    =  Text('Model'    ,font_size=24   )
												a__    =  Group(__snake_case    ,__snake_case   ).arrange(__snake_case    ,buff=0.5    ,aligned_edge=__snake_case   )
												model.move_to([3, -1.0, 0]   )
												self.add(__snake_case   )

												a__    =  []
												a__    =  []

												for i, rect in enumerate(__snake_case   ):
																			a__    =  fill.copy().set_fill(__snake_case    ,opacity=0.8   )
																			target.move_to(__snake_case   )
																			model_arr.append(__snake_case   )

																			a__    =  Rectangle(height=0.46    ,width=0.46   ).set_stroke(width=0.0   ).set_fill(__snake_case    ,opacity=0.8   )
																			cpu_target.move_to(cpu_left_col_base[i]   )
																			model_cpu_arr.append(__snake_case   )

												self.add(*__snake_case    ,*__snake_case   )

												a__    =  [meta_mem.copy() for i in range(6   )]
												a__    =  [meta_mem.copy() for i in range(6   )]
												a__    =  VGroup(*__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  VGroup(*__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  VGroup(__snake_case    ,__snake_case   ).arrange(__snake_case    ,buff=0   )
												a__    =  Text('Disk'    ,font_size=24   )
												a__    =  Group(__snake_case    ,__snake_case   ).arrange(__snake_case    ,buff=0.5    ,aligned_edge=__snake_case   )
												disk.move_to([-4, -1.25, 0]   )
												self.add(__snake_case    ,__snake_case   )

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

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

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

												self.add(__snake_case    ,__snake_case   )

												a__    =  MarkupText(
												    F'<span fgcolor=\'{BLUE}\'>●</span> Checkpoint'    ,font_size=18    ,)

												blue_text.next_to(__snake_case    ,DOWN * 2.4    ,aligned_edge=key_text.get_left()   )
												self.add(__snake_case   )

												a__    =  MarkupText(
												    F'Now watch as an input is passed through the model\nand how the memory is utilized and handled.'    ,font_size=24    ,)
												step_a.move_to([2, 2, 0]   )

												self.play(Write(__snake_case   )   )

												a__    =  Square(0.3   )
												input.set_fill(__snake_case    ,opacity=1.0   )
												input.set_stroke(width=0.0   )
												input.next_to(model_base[0]    ,__snake_case    ,buff=0.5   )

												self.play(Write(__snake_case   )   )

												input.generate_target()
												input.target.next_to(model_arr[0]    ,direction=__snake_case    ,buff=0.02   )
												self.play(MoveToTarget(__snake_case   )   )

												self.play(FadeOut(__snake_case   )   )

												a__    =  Arrow(start=__snake_case    ,end=__snake_case    ,color=__snake_case    ,buff=0.5   )
												a.next_to(model_arr[0].get_left()    ,__snake_case    ,buff=0.2   )

												model_cpu_arr[0].generate_target()
												model_cpu_arr[0].target.move_to(gpu_rect[0]   )

												a__    =  MarkupText(
												    F'As the input reaches a layer, the hook triggers\nand weights are moved from the CPU\nto the GPU and back.'    ,font_size=24    ,)
												step_a.move_to([2, 2, 0]   )

												self.play(Write(__snake_case    ,run_time=3   )   )

												a__    =  {'run_time': 1, 'fade_in': True, 'fade_out': True, 'buff': 0.02}

												self.play(
												    Write(__snake_case   )    ,Circumscribe(model_arr[0]    ,color=__snake_case    ,**__snake_case   )    ,Circumscribe(model_cpu_arr[0]    ,color=__snake_case    ,**__snake_case   )    ,Circumscribe(gpu_rect[0]    ,color=__snake_case    ,**__snake_case   )    ,)
												self.play(MoveToTarget(model_cpu_arr[0]   )   )

												a__    =  a.copy()
												for i in range(6   ):
																			a_c.next_to(model_arr[i].get_right() + 0.02    ,__snake_case    ,buff=0.2   )

																			input.generate_target()
																			input.target.move_to(model_arr[i].get_right() + 0.02   )

																			a__    =  AnimationGroup(
																			    FadeOut(__snake_case    ,run_time=0.5   )    ,MoveToTarget(__snake_case    ,run_time=0.5   )    ,FadeIn(__snake_case    ,run_time=0.5   )    ,lag_ratio=0.2   )

																			self.play(__snake_case   )

																			model_cpu_arr[i].generate_target()
																			model_cpu_arr[i].target.move_to(cpu_left_col_base[i]   )

																			if i < 5:
																										model_cpu_arr[i + 1].generate_target()
																										model_cpu_arr[i + 1].target.move_to(gpu_rect[0]   )
																										if i >= 1:
																																	a__    =  0.7

																										self.play(
																										    Circumscribe(model_arr[i]    ,**__snake_case   )    ,Circumscribe(cpu_left_col_base[i]    ,**__snake_case   )    ,Circumscribe(cpu_left_col_base[i + 1]    ,color=__snake_case    ,**__snake_case   )    ,Circumscribe(gpu_rect[0]    ,color=__snake_case    ,**__snake_case   )    ,Circumscribe(model_arr[i + 1]    ,color=__snake_case    ,**__snake_case   )    ,)
																										if i < 1:
																																	self.play(
																																	    MoveToTarget(model_cpu_arr[i]   )    ,MoveToTarget(model_cpu_arr[i + 1]   )    ,)
																										else:
																																	self.play(
																																	    MoveToTarget(model_cpu_arr[i]    ,run_time=0.7   )    ,MoveToTarget(model_cpu_arr[i + 1]    ,run_time=0.7   )    ,)
																			else:
																										model_cpu_arr[i].generate_target()
																										model_cpu_arr[i].target.move_to(cpu_left_col_base[-1]   )
																										input.generate_target()
																										input.target.next_to(model_arr[-1].get_right()    ,RIGHT + 0.02    ,buff=0.2   )

																										self.play(
																										    Circumscribe(model_arr[-1]    ,color=__snake_case    ,**__snake_case   )    ,Circumscribe(cpu_left_col_base[-1]    ,color=__snake_case    ,**__snake_case   )    ,Circumscribe(gpu_rect[0]    ,color=__snake_case    ,**__snake_case   )    ,)

																										self.play(MoveToTarget(model_cpu_arr[i]   )   )

																			a__    =  a_c
																			a__    =  a_c.copy()

												input.generate_target()
												input.target.next_to(model_base[-1]    ,RIGHT + 0.02    ,buff=0.5   )
												self.play(
												    FadeOut(__snake_case   )    ,FadeOut(__snake_case    ,run_time=0.5   )    ,)

												a__    =  MarkupText(F'Inference on a model too large for GPU memory\nis successfully completed.'    ,font_size=24   )
												step_a.move_to([2, 2, 0]   )

												self.play(Write(__snake_case    ,run_time=3   )    ,MoveToTarget(__snake_case   )   )

												self.wait()




