
"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__   					=		logging.get_logger(__name__)

lowerCamelCase__   					=		{
    """google/mobilenet_v2_1.4_224""": """https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json""",
    """google/mobilenet_v2_1.0_224""": """https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v2_0.75_160""": """https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json""",
    """google/mobilenet_v2_0.35_96""": """https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json""",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}




class  A__       (	_lowerCamelCase):
		A_						:       int				   =	'mobilenet_v2'

		def __init__(      self       ,		_SCREAMING_SNAKE_CASE=3       ,		_SCREAMING_SNAKE_CASE=2_24       ,		_SCREAMING_SNAKE_CASE=1.0       ,		_SCREAMING_SNAKE_CASE=8       ,		_SCREAMING_SNAKE_CASE=8       ,		_SCREAMING_SNAKE_CASE=6       ,		_SCREAMING_SNAKE_CASE=32       ,		_SCREAMING_SNAKE_CASE=True       ,		_SCREAMING_SNAKE_CASE=True       ,		_SCREAMING_SNAKE_CASE="relu6"       ,		_SCREAMING_SNAKE_CASE=True       ,		_SCREAMING_SNAKE_CASE=0.8       ,		_SCREAMING_SNAKE_CASE=0.02       ,		_SCREAMING_SNAKE_CASE=0.001       ,		_SCREAMING_SNAKE_CASE=2_55       ,		**_SCREAMING_SNAKE_CASE       ,		):
			super().__init__(**_SCREAMING_SNAKE_CASE )

			if depth_multiplier <= 0:
				raise ValueError('depth_multiplier must be greater than zero.' )

			__lowerCAmelCase			:						Union[str, Any]									=      num_channels
			__lowerCAmelCase			:						Optional[Any]									=      image_size
			__lowerCAmelCase			:						List[str]									=      depth_multiplier
			__lowerCAmelCase			:						int									=      depth_divisible_by
			__lowerCAmelCase			:						Union[str, Any]									=      min_depth
			__lowerCAmelCase			:						int									=      expand_ratio
			__lowerCAmelCase			:						Optional[Any]									=      output_stride
			__lowerCAmelCase			:						List[str]									=      first_layer_is_expansion
			__lowerCAmelCase			:						int									=      finegrained_output
			__lowerCAmelCase			:						Dict									=      hidden_act
			__lowerCAmelCase			:						Optional[Any]									=      tf_padding
			__lowerCAmelCase			:						Optional[int]									=      classifier_dropout_prob
			__lowerCAmelCase			:						Tuple									=      initializer_range
			__lowerCAmelCase			:						Tuple									=      layer_norm_eps
			__lowerCAmelCase			:						List[Any]									=      semantic_loss_ignore_index




class  A__       (	_lowerCamelCase):
		A_						:       List[str]				   =	version.parse('1.11')

		@property
		def 							__lowerCamelCase							(      self ):
			return OrderedDict([('pixel_values', {0: 'batch'})] )

		@property
		def 							__lowerCamelCase							(      self ):
			if self.task == "image-classification":
				return OrderedDict([('logits', {0: 'batch'})] )
			else:
				return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})] )







		@property
		def 							__lowerCamelCase							(      self ):
			return 1E-4




from manim import *






class SCREAMING_SNAKE_CASE__     (		SCREAMING_SNAKE_CASE__    ):




    '''simple docstring'''






    def 			_lowerCAmelCase					(       self		):
        A :       Union[str, Any]          =   Rectangle(height=0.5,		width=0.5		)
        A :       Optional[int]          =   Rectangle(height=0.25,		width=0.25		)
        A :       Optional[Any]          =   Rectangle(height=0.46,		width=0.46		).set_stroke(width=0		)

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

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

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

        A :       Optional[int]          =   Text("""Model""",		font_size=24		)
        A :       List[Any]          =   Group(lowerCamelCase__,		lowerCamelCase__		).arrange(lowerCamelCase__,		buff=0.5,		aligned_edge=lowerCamelCase__		)
        model.move_to([3, -1.0, 0]		)
        self.add(lowerCamelCase__		)

        A :       Tuple          =   []
        A :       Tuple          =   []
        A :       Any          =   []

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

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

        A :       str          =   Text("""Loaded Checkpoint""",		font_size=24		)
        A :       List[str]          =   Group(lowerCamelCase__,		lowerCamelCase__		).arrange(lowerCamelCase__,		buff=0.5,		aligned_edge=lowerCamelCase__		)
        checkpoint.move_to([3, 0.5, 0]		)

        self.add(lowerCamelCase__		)

        A :       Optional[int]          =   []
        A :       List[Any]          =   []

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

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

        A :       List[Any]          =   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 :       Union[str, Any]          =   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 :       List[str]          =   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 :       List[str]          =   [meta_mem.copy() for i in range(6		)]
        A :       List[Any]          =   [meta_mem.copy() for i in range(6		)]
        A :       List[Any]          =   VGroup(*lowerCamelCase__		).arrange(lowerCamelCase__,		buff=0		)
        A :       List[str]          =   VGroup(*lowerCamelCase__		).arrange(lowerCamelCase__,		buff=0		)
        A :       Dict          =   VGroup(lowerCamelCase__,		lowerCamelCase__		).arrange(lowerCamelCase__,		buff=0		)
        A :       Optional[Any]          =   Text("""Disk""",		font_size=24		)
        A :       List[str]          =   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 :       str          =   []
        for i, rect in enumerate(lowerCamelCase__		):
            A :       Optional[Any]          =   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 :       List[str]          =   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()


