
'''simple docstring'''






import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler




class     __snake_case		:
					def __init__(     self,    A      ):

									"""simple docstring"""


									if isinstance(A,    A      ):
													# Don't modify user's data should they want to reuse it (e.g. in tests), because once we
													# modified it, it will not be accepted here again, since `auto` values would have been overridden
													lowerCamelCase					:			Any									= deepcopy(A      )
									elif os.path.exists(A      ):
													with io.open(A,    'r',    encoding='utf-8'      ) as f:
																	lowerCamelCase					:			str									= json.load(A      )
									else:
													try:
																	lowerCamelCase					:			int									= baseaa.urlsafe_baadecode(A      ).decode('utf-8'      )
																	lowerCamelCase					:			str									= json.loads(A      )
													except (UnicodeDecodeError, AttributeError, ValueError):
																	raise ValueError(
																	    F'''Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'''      )

									lowerCamelCase					:			int									= config

									self.set_stage_and_offload()
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= self.get_value('zero_optimization.stage',    -1      )

									# offload
									lowerCamelCase					:			Optional[int]									= False
									if self.is_zeroa() or self.is_zeroa():
													lowerCamelCase					:			List[Any]									= set(['cpu', 'nvme']      )
													lowerCamelCase					:			Tuple									= set(
													    [
													        self.get_value('zero_optimization.offload_optimizer.device'      ),
													        self.get_value('zero_optimization.offload_param.device'      ),
													    ]      )
													if len(offload_devices & offload_devices_valid      ) > 0:
																	lowerCamelCase					:			Union[str, Any]									= True
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.config

									# find the config node of interest if it exists
									lowerCamelCase					:			Tuple									= ds_key_long.split('.'      )
									lowerCamelCase					:			List[Any]									= nodes.pop()
									for node in nodes:
													lowerCamelCase					:			Union[str, Any]									= config.get(A      )
													if config is None:
																	return None, ds_key

									return config, ds_key
					def     UpperCAmelCase_							(     self,    A,    A=None      ):

									"""simple docstring"""


									lowerCamelCase			, lowerCamelCase					:			Union[str, Any]									= self.find_config_node(A      )
									if config is None:
													return default
									return config.get(A,    A      )
					def     UpperCAmelCase_							(     self,    A,    A=False      ):

									"""simple docstring"""


									lowerCamelCase					:			Any									= self.config

									# find the config node of interest if it exists
									lowerCamelCase					:			Union[str, Any]									= ds_key_long.split('.'      )
									for node in nodes:
													lowerCamelCase					:			Any									= config
													lowerCamelCase					:			Tuple									= config.get(A      )
													if config is None:
																	if must_exist:
																					raise ValueError(F'''Can\'t find {ds_key_long} entry in the config: {self.config}'''      )
																	else:
																					return

        # if found remove it
									if parent_config is not None:
													parent_config.pop(A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= self.get_value(A      )
									return False if value is None else bool(A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= self.get_value(A      )
									return False if value is None else not bool(A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return self._stage == 2
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return self._stage == 3




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return self._offload





class     __snake_case		:
					def __init__(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= engine




					def     UpperCAmelCase_							(     self,    A,    **A      ):

									"""simple docstring"""


									self.engine.backward(A,    **A      )

									# Deepspeed's `engine.step` performs the following operations:
									# - gradient accumulation check
									# - gradient clipping
									# - optimizer step
									# - zero grad
									# - checking overflow
									# - lr_scheduler step (only if engine.lr_scheduler is not None)
									self.engine.step()
									# and this plugin overrides the above calls with no-ops when Accelerate runs under
									# Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
									# training loop that works transparently under many training regimes.





class     __snake_case		(   a__):
					def __init__(     self,    A      ):

									"""simple docstring"""


									super().__init__(A,    device_placement=A,    scaler=A      )
									lowerCamelCase					:			Any									= hasattr(self.optimizer,    'overflow'      )
					def     UpperCAmelCase_							(     self,    A=None      ):

									"""simple docstring"""


									pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									if self.__has_overflow__:
													return self.optimizer.overflow
									return False





class     __snake_case		(   a__):
					def __init__(     self,    A,    A      ):

									"""simple docstring"""


									super().__init__(A,    A      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed





class     __snake_case		:
					def __init__(     self,    A,    A=0.001,    A=0,    **A      ):

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= params
									lowerCamelCase					:			str									= lr
									lowerCamelCase					:			Tuple									= weight_decay
									lowerCamelCase					:			List[Any]									= kwargs





class     __snake_case		:
					def __init__(     self,    A,    A=None,    A=0,    **A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= optimizer
									lowerCamelCase					:			Union[str, Any]									= total_num_steps
									lowerCamelCase					:			List[Any]									= warmup_num_steps
									lowerCamelCase					:			Tuple									= kwargs


'''simple docstring'''






from manim import *




class     __snake_case		(   a__):
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= Rectangle(height=0.5,    width=0.5      )
									lowerCamelCase					:			List[Any]									= Rectangle(height=0.46,    width=0.46      ).set_stroke(width=0      )

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

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

									self.add(A      )

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

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

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

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

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

									lowerCamelCase					:			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(A,    run_time=2.5      ),    Write(A      ),    Write(A      )      )

									self.add(A      )

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

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

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

									self.play(*A      )
									self.play(*A      )

									self.wait()
