from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
						import torch

if is_torch_tpu_available(check_device=False):
						import torch_xla.core.xla_model as xm


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






@dataclass
class      UpperCamelCase    (						_UpperCAmelCase     ):
	lowerCAmelCase	:   Tuple				=	[
	    """no_inference""",
	    """no_cuda""",
	    """no_tpu""",
	    """no_speed""",
	    """no_memory""",
	    """no_env_print""",
	    """no_multi_process""",
	]



	def __init__(       self			,	**UpperCAmelCase__		):
							for deprecated_arg in self.deprecated_args:
													if deprecated_arg in kwargs:
																			A__							=       deprecated_arg[3:]
																			setattr(self			,	UpperCAmelCase__			,	not kwargs.pop(UpperCAmelCase__		)		)
																			logger.warning(
																			    F"""{deprecated_arg} is depreciated. Please use --no_{positive_arg} or"""
																			    F""" {positive_arg}={kwargs[positive_arg]}"""		)

							A__							=       kwargs.pop("torchscript"			,	self.torchscript		)
							A__							=       kwargs.pop("torch_xla_tpu_print_metrics"			,	self.torch_xla_tpu_print_metrics		)
							A__							=       kwargs.pop("fp16_opt_level"			,	self.fpaa_opt_level		)
							super().__init__(**UpperCAmelCase__		)

	lowerCAmelCase	:   bool				=	field(default=_UpperCAmelCase       ,    metadata={"""help""": """Trace the models using torchscript"""}     )
	lowerCAmelCase	:   bool				=	field(default=_UpperCAmelCase       ,    metadata={"""help""": """Print Xla/PyTorch tpu metrics"""}     )
	lowerCAmelCase	:   str				=	field(
	    default="""O1"""       ,    metadata={
	        """help""": (
	            """For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. """
	            """See details at https://nvidia.github.io/apex/amp.html"""
	        )
	    }       ,    )



	@cached_property
	def 			__A							(       self		):
							requires_backends(self			,	["torch"]		)
							logger.info("PyTorch: setting up devices"		)
							if not self.cuda:
													A__							=       torch.device("cpu"		)
													A__							=       0
							elif is_torch_tpu_available():
													A__							=       xm.xla_device()
													A__							=       0
							else:
													A__							=       torch.device("cuda" if torch.cuda.is_available() else "cpu"		)
													A__							=       torch.cuda.device_count()
							return device, n_gpu



	@property
	def 			__A							(       self		):
							return is_torch_tpu_available() and self.tpu



	@property
	def 			__A							(       self		):
							requires_backends(self			,	["torch"]		)
							# TODO(PVP): currently only single GPU is supported
							return torch.cuda.current_device()



	@property
	def 			__A							(       self		):
							requires_backends(self			,	["torch"]		)
							return self._setup_devices[0]



	@property
	def 			__A							(       self		):
							requires_backends(self			,	["torch"]		)
							return self._setup_devices[1]



	@property
	def 			__A							(       self		):
							return self.n_gpu > 0










from manim import *






class      UpperCamelCase    (						_UpperCAmelCase     ):



	def 			__A							(       self		):
							A__							=       Rectangle(height=0.5			,	width=0.5		)
							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(*UpperCAmelCase__		).arrange(UpperCAmelCase__			,	buff=0		)
							A__							=       VGroup(*UpperCAmelCase__		).arrange(UpperCAmelCase__			,	buff=0		)
							A__							=       VGroup(UpperCAmelCase__			,	UpperCAmelCase__		).arrange(UpperCAmelCase__			,	buff=0		)
							A__							=       Text("CPU"			,	font_size=24		)
							A__							=       Group(UpperCAmelCase__			,	UpperCAmelCase__		).arrange(UpperCAmelCase__			,	buff=0.5			,	aligned_edge=UpperCAmelCase__		)
							cpu.move_to([-2.5, -0.5, 0]		)
							self.add(UpperCAmelCase__		)

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

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

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

							A__							=       []
							for i, rect in enumerate(UpperCAmelCase__		):
													rect.set_stroke(UpperCAmelCase__		)
													# target = fill.copy().set_fill(YELLOW, opacity=0.7)
													# target.move_to(rect)
													# self.add(target)

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

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

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

							A__							=       Text("Loaded Checkpoint"			,	font_size=24		)
							A__							=       Group(UpperCAmelCase__			,	UpperCAmelCase__		).arrange(UpperCAmelCase__			,	aligned_edge=UpperCAmelCase__			,	buff=0.4		)
							checkpoint.move_to([3, 0.5, 0]		)

							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(UpperCAmelCase__			,	UpperCAmelCase__		)

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

							blue_text.next_to(UpperCAmelCase__			,	DOWN * 2.4			,	aligned_edge=key_text.get_left()		)

							A__							=       MarkupText(
							    F"""Next, a <i><span fgcolor=\"{BLUE}\">second</span></i> model is loaded into memory,\nwith the weights of a <span fgcolor=\"{BLUE}\">single shard</span>."""			,	font_size=24			,	)
							step_a.move_to([2, 2, 0]		)
							self.play(Write(UpperCAmelCase__		)			,	Write(UpperCAmelCase__		)		)

							self.play(Write(UpperCAmelCase__			,	run_time=1		)			,	Create(UpperCAmelCase__			,	run_time=1		)		)

							A__							=       []
							A__							=       []
							for i, rect in enumerate(UpperCAmelCase__		):
													A__							=       fill.copy().set_fill(UpperCAmelCase__			,	opacity=0.7		)
													target.move_to(UpperCAmelCase__		)
													first_animations.append(GrowFromCenter(UpperCAmelCase__			,	run_time=1		)		)

													A__							=       target.copy()
													cpu_target.generate_target()
													if i < 5:
																			cpu_target.target.move_to(cpu_left_col_base[i + 1]		)
													else:
																			cpu_target.target.move_to(cpu_right_col_base[i - 5]		)
													second_animations.append(MoveToTarget(UpperCAmelCase__			,	run_time=1.5		)		)

							self.play(*UpperCAmelCase__		)
							self.play(*UpperCAmelCase__		)
							self.wait()





