




from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCamelCase       :	Tuple									=     logging.get_logger(__name__)

lowerCamelCase       :	Union[str, Any]									=     {
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}







class 						A(		UpperCamelCase							,   UpperCamelCase     ):



 '''simple docstring'''


 UpperCamelCase		     =		'''bit'''
 UpperCamelCase		     =		['''preactivation''', '''bottleneck''']
 UpperCamelCase		     =		['''SAME''', '''VALID''']

 def __init__(       self      :						Optional[Any]		,							A_      :						int=3		,							A_      :						Any=64		,							A_      :						Optional[int]=[256, 512, 1024, 2048]		,							A_      :						str=[3, 4, 6, 3]		,							A_      :						Any="preactivation"		,							A_      :						Optional[int]="relu"		,							A_      :						List[Any]=None		,							A_      :						Tuple=32		,							A_      :						List[str]=0.0		,							A_      :						str=False		,							A_      :						Optional[int]=32		,							A_      :						List[str]=1		,							A_      :						List[str]=None		,							A_      :						str=None		,							**A_      :						int		,							)     ->			Union[str, Any]:

       """simple docstring"""






       super().__init__(**A_						)
       if layer_type not in self.layer_types:
             raise ValueError(f"""layer_type={layer_type} is not one of {",".join(self.layer_types						)}"""						)
       if global_padding is not None:
             if global_padding.upper() in self.supported_padding:
                   lowerCamelCase_	  =					global_padding.upper()
             else:
                   raise ValueError(f"""Padding strategy {global_padding} not supported"""						)
       lowerCamelCase_	  =					num_channels
       lowerCamelCase_	  =					embedding_size
       lowerCamelCase_	  =					hidden_sizes
       lowerCamelCase_	  =					depths
       lowerCamelCase_	  =					layer_type
       lowerCamelCase_	  =					hidden_act
       lowerCamelCase_	  =					global_padding
       lowerCamelCase_	  =					num_groups
       lowerCamelCase_	  =					drop_path_rate
       lowerCamelCase_	  =					embedding_dynamic_padding
       lowerCamelCase_	  =					output_stride
       lowerCamelCase_	  =					width_factor

       lowerCamelCase_	  =					['stem'] + [f"""stage{idx}""" for idx in range(1		,							len(A_						) + 1						)]
       lowerCamelCase_  ,       lowerCamelCase_	  =					get_aligned_output_features_output_indices(
           out_features=A_		,							out_indices=A_		,							stage_names=self.stage_names						)









from manim import *







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


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

       """simple docstring"""






       lowerCamelCase_	  =					Rectangle(height=0.5		,							width=0.5						)
       lowerCamelCase_	  =					Rectangle(height=0.46		,							width=0.46						).set_stroke(width=0						)

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

       lowerCamelCase_	  =					[mem.copy() for i in range(6						)]
       lowerCamelCase_	  =					[mem.copy() for i in range(6						)]
       lowerCamelCase_	  =					VGroup(*A_						).arrange(A_		,							buff=0						)
       lowerCamelCase_	  =					VGroup(*A_						).arrange(A_		,							buff=0						)
       lowerCamelCase_	  =					VGroup(A_		,							A_						).arrange(A_		,							buff=0						)
       lowerCamelCase_	  =					Text('CPU'		,							font_size=24						)
       lowerCamelCase_	  =					Group(A_		,							A_						).arrange(A_		,							buff=0.5		,							aligned_edge=A_						)
       cpu.move_to([-2.5, -0.5, 0]						)
       self.add(A_						)

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

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

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

       lowerCamelCase_	  =					[]
       lowerCamelCase_	  =					[]

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

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

       self.add(*A_		,							*A_						)

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

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

       lowerCamelCase_	  =					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(A_		,							A_						)

       lowerCamelCase_	  =					MarkupText(
           f"""<span fgcolor='{BLUE}'>●</span> Checkpoint"""		,							font_size=18		,							)

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

       lowerCamelCase_	  =					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(A_						)						)

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

       self.play(Write(A_						)						)

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

       self.play(FadeOut(A_						)						)

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

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

       lowerCamelCase_	  =					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(A_		,							run_time=3						)						)

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

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

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

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

             lowerCamelCase_	  =					AnimationGroup(
                 FadeOut(A_		,							run_time=0.5						)		,							MoveToTarget(A_		,							run_time=0.5						)		,							FadeIn(A_		,							run_time=0.5						)		,							lag_ratio=0.2						)

             self.play(A_						)

             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:
                         lowerCamelCase_	  =					0.7

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

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

             lowerCamelCase_	  =					a_c
             lowerCamelCase_	  =					a_c.copy()

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

       lowerCamelCase_	  =					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(A_		,							run_time=3						)		,							MoveToTarget(A_						)						)

       self.wait()



