from manim import *


class      lowerCAmelCase						(					_a			):



     def 			a__  (					self       ):
            _A=	Rectangle(height=0.5				,      width=0.5       )
            _A=	Rectangle(height=0.25				,      width=0.25       )
            _A=	Rectangle(height=0.46				,      width=0.46       ).set_stroke(width=0       )

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

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

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

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

            _A=	[]
            _A=	[]
            _A=	[]

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

                   _A=	Rectangle(height=0.46 / 4				,      width=0.46 / 3       ).set_stroke(width=0.0       ).set_fill(lowerCAmelCase__				,      opacity=0.7       )

                   if i == 0:
                          cpu_target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT       )				,      buff=0.02				,      direction=lowerCAmelCase__       )
                          cpu_target.set_x(cpu_target.get_x() + 0.1       )
                   elif i == 3:
                          cpu_target.next_to(model_cpu_arr[0]				,      direction=lowerCAmelCase__				,      buff=0.0       )
                   else:
                          cpu_target.next_to(model_cpu_arr[i - 1]				,      direction=lowerCAmelCase__				,      buff=0.0       )
                   self.add(lowerCAmelCase__       )
                   model_cpu_arr.append(lowerCAmelCase__       )

            self.add(*lowerCAmelCase__				,      *lowerCAmelCase__				,      *lowerCAmelCase__       )

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

            _A=	Text('Loaded Checkpoint'				,      font_size=24       )
            _A=	Group(lowerCAmelCase__				,      lowerCAmelCase__       ).arrange(lowerCAmelCase__				,      buff=0.5				,      aligned_edge=lowerCAmelCase__       )
            checkpoint.move_to([3, 0.5, 0]       )

            self.add(lowerCAmelCase__       )

            _A=	[]
            _A=	[]

            for i, rect in enumerate(lowerCAmelCase__       ):
                   _A=	fill.copy().set_fill(lowerCAmelCase__				,      opacity=0.7       )
                   target.move_to(lowerCAmelCase__       )
                   ckpt_arr.append(lowerCAmelCase__       )

                   _A=	target.copy()
                   if i < 5:
                          cpu_target.move_to(cpu_left_col_base[i + 1]       )
                   else:
                          cpu_target.move_to(cpu_right_col_base[i - 5]       )
                   ckpt_cpu_arr.append(lowerCAmelCase__       )
            self.add(*lowerCAmelCase__				,      *lowerCAmelCase__       )

            _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(lowerCAmelCase__				,      lowerCAmelCase__       )

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

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

            _A=	MarkupText(
                f"Based on the passed in configuration, weights are stored in\na variety of np.memmaps on disk or to a particular device."				,      font_size=24				,      )
            step_a.move_to([2, 2, 0]       )

            _A=	[meta_mem.copy() for i in range(6       )]
            _A=	[meta_mem.copy() for i in range(6       )]
            _A=	VGroup(*lowerCAmelCase__       ).arrange(lowerCAmelCase__				,      buff=0       )
            _A=	VGroup(*lowerCAmelCase__       ).arrange(lowerCAmelCase__				,      buff=0       )
            _A=	VGroup(lowerCAmelCase__				,      lowerCAmelCase__       ).arrange(lowerCAmelCase__				,      buff=0       )
            _A=	Text('Disk'				,      font_size=24       )
            _A=	Group(lowerCAmelCase__				,      lowerCAmelCase__       ).arrange(lowerCAmelCase__				,      buff=0.5				,      aligned_edge=lowerCAmelCase__       )
            disk.move_to([-4.0, -1.25, 0]       )
            self.play(Write(lowerCAmelCase__				,      run_time=3       )				,      Write(lowerCAmelCase__				,      run_time=1       )				,      Create(lowerCAmelCase__				,      run_time=1       )       )

            _A=	[]
            for i, rect in enumerate(lowerCAmelCase__       ):
                   _A=	rect.copy()
                   target.generate_target()
                   target.target.move_to(disk_left_col_base[i]       ).scale(0.5       )
                   animations.append(MoveToTarget(lowerCAmelCase__				,      run_time=1.5       )       )
            self.play(*lowerCAmelCase__       )

            self.play(FadeOut(lowerCAmelCase__       )       )

            _A=	MarkupText(f"Then, the checkpoint is removed from memory\nthrough garbage collection."				,      font_size=24       )
            step_a.move_to([2, 2, 0]       )

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

            self.play(
                FadeOut(lowerCAmelCase__				,      lowerCAmelCase__				,      *lowerCAmelCase__				,      *lowerCAmelCase__       )				,      )

            self.wait()
import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu





@require_cpu
class      lowerCAmelCase						(					unittest.TestCase			):



     def 			a__  (					self       ):
            _A=	torch.nn.Linear(10				,      10       )
            _A=	torch.optim.SGD(model.parameters()				,      0.1       )
            _A=	Accelerator()
            _A=	accelerator.prepare(lowerCAmelCase__       )
            try:
                   pickle.loads(pickle.dumps(lowerCAmelCase__       )       )
            except Exception as e:
                   self.fail(f"Accelerated optimizer pickling failed with {e}"       )
            AcceleratorState._reset_state()