
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a__				:      Dict    		=     {
    '''configuration_imagegpt''': ['''IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ImageGPTConfig''', '''ImageGPTOnnxConfig''']
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      a__				:      List[Any]    		=     ['''ImageGPTFeatureExtractor''']
      a__				:      List[Any]    		=     ['''ImageGPTImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      a__				:      str    		=     [
          '''IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ImageGPTForCausalImageModeling''',
          '''ImageGPTForImageClassification''',
          '''ImageGPTModel''',
          '''ImageGPTPreTrainedModel''',
          '''load_tf_weights_in_imagegpt''',
      ]


if TYPE_CHECKING:
      from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
            from .image_processing_imagegpt import ImageGPTImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_imagegpt import (
                IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
                ImageGPTForCausalImageModeling,
                ImageGPTForImageClassification,
                ImageGPTModel,
                ImageGPTPreTrainedModel,
                load_tf_weights_in_imagegpt,
            )

else:
      import sys

      a__				:      Optional[int]    		=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






'''simple docstring'''






from manim import *

class 	SCREAMING_SNAKE_CASE_		(							lowerCamelCase_					):



 def  SCREAMING_SNAKE_CASE(	self			):






        '''simple docstring'''




        lowercase	:		str    =   Rectangle(height=0.5 ,		width=0.5			)
        lowercase	:		Optional[Any]    =   Rectangle(height=0.4_6 ,		width=0.4_6			).set_stroke(width=0			)
        lowercase	:		str    =   Rectangle(height=0.2_5 ,		width=0.2_5			)

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

        lowercase	:		List[str]    =   [mem.copy() for i in range(4			)]
        lowercase	:		Optional[Any]    =   VGroup(*A			).arrange(A ,		buff=0			)
        lowercase	:		Optional[int]    =   Text('''GPU''' ,		font_size=24			)
        lowercase	:		Optional[int]    =   Group(A ,		A			).arrange(A ,		buff=0.5 ,		aligned_edge=A			)
        gpu.move_to([-1, -1, 0]			)
        self.add(A			)

        lowercase	:		str    =   [mem.copy() for i in range(6			)]
        lowercase	:		int    =   VGroup(*A			).arrange(A ,		buff=0			)

        lowercase	:		int    =   Text('''Model''' ,		font_size=24			)
        lowercase	:		Tuple    =   Group(A ,		A			).arrange(A ,		buff=0.5 ,		aligned_edge=A			)
        model.move_to([3, -1.0, 0]			)
        self.add(A			)

        lowercase	:		str    =   []
        lowercase	:		int    =   []

        for i, rect in enumerate(A			):
               rect.set_stroke(A			)

               lowercase	:		List[Any]    =   Rectangle(height=0.4_6 / 4 ,		width=0.4_6 / 3			).set_stroke(width=0.0			).set_fill(A ,		opacity=0.7			)

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

        self.add(*A ,		*A			)

        lowercase	:		Optional[int]    =   [meta_mem.copy() for i in range(6			)]
        lowercase	:		List[str]    =   [meta_mem.copy() for i in range(6			)]
        lowercase	:		int    =   VGroup(*A			).arrange(A ,		buff=0			)
        lowercase	:		int    =   VGroup(*A			).arrange(A ,		buff=0			)
        lowercase	:		Any    =   VGroup(A ,		A			).arrange(A ,		buff=0			)
        lowercase	:		Union[str, Any]    =   Text('''Disk''' ,		font_size=24			)
        lowercase	:		Dict    =   Group(A ,		A			).arrange(A ,		buff=0.5 ,		aligned_edge=A			)
        disk.move_to([-4.0, -1.2_5, 0]			)
        self.add(A ,		A			)

        lowercase	:		List[str]    =   []

        for i in range(6			):
               lowercase	:		Tuple    =   fill.copy().set_fill(A ,		opacity=0.8			)
               target.move_to(disk_left_col_base[i]			).scale(0.5			)
               cpu_disk_arr.append(A			)

        self.add(*A			)

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

        lowercase	:		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]			)

        self.add(A ,		A			)

        lowercase	:		List[Any]    =   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			)

        lowercase	:		Optional[Any]    =   MarkupText(f"""The offloaded weights are all sent to the CPU.""" ,		font_size=24			)
        step_a.move_to([2, 2, 0]			)

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

        for i in range(6			):
               lowercase	:		List[str]    =   cpu_disk_arr[i]
               lowercase	:		Optional[Any]    =   rect.copy().set_fill(A ,		opacity=0.8			).scale(2.0			)
               cpa.generate_target()
               cpa.target.move_to(model_base[i]			)

               if i == 0:
                      rect.set_fill(A ,		opacity=0.8			)
                      rect.generate_target()
                      rect.target.move_to(cpu_left_col_base[0]			).scale(2.0			)

                      self.remove(
                          *A ,		*A ,		)

               else:
                      rect.generate_target()
                      rect.target.move_to(cpu_left_col_base[i]			).scale(2.0			)
               self.play(MoveToTarget(A			) ,		MoveToTarget(A			) ,		model_base[i].animate.set_stroke(A			)			)
        self.play(FadeOut(A			)			)

        lowercase	:		Optional[Any]    =   MarkupText(
            f"""Finally, hooks are added to each weight in the model\nto transfer the weights from CPU to GPU\n\t\tand back when needed.""" ,		font_size=24 ,		)
        step_a.move_to([2, 2, 0]			)

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

        lowercase	:		Tuple    =   []
        lowercase	:		List[Any]    =   []
        for i in range(6			):
               lowercase	:		List[str]    =   Arrow(start=A ,		end=A ,		color=A ,		buff=0.5			)
               a.next_to(model_base[i].get_left() ,		A ,		buff=0.2			)
               arrows.append(A			)
               animations.append(Write(A			)			)
        self.play(*A			)
        self.wait()




