




'''simple docstring'''






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase						:   Union[str, Any]      						=							logging.get_logger(__name__)

lowercase						:   List[str]      						=							{
    '''facebook/sam-vit-huge''': '''https://huggingface.co/facebook/sam-vit-huge/resolve/main/config.json''',
    '''facebook/sam-vit-large''': '''https://huggingface.co/facebook/sam-vit-large/resolve/main/config.json''',
    '''facebook/sam-vit-base''': '''https://huggingface.co/facebook/sam-vit-base/resolve/main/config.json''',
}

class 	SCREAMING_SNAKE_CASE_		(							lowerCamelCase_					):



 def __init__(	self ,		A=256 ,		A=1024 ,		A=16 ,		A=16 ,		A=4 ,		A="gelu" ,		A=1E-6 ,		**A ,		):






        '''simple docstring'''




        super().__init__(**A			)
        lowercase	:		Optional[int]    =   hidden_size
        lowercase	:		Union[str, Any]    =   image_size
        lowercase	:		Any    =   patch_size
        lowercase	:		int    =   image_size // patch_size
        lowercase	:		Optional[Any]    =   mask_input_channels
        lowercase	:		Optional[Any]    =   num_point_embeddings
        lowercase	:		Any    =   hidden_act
        lowercase	:		Union[str, Any]    =   layer_norm_eps






class 	SCREAMING_SNAKE_CASE_		(							lowerCamelCase_					):



 def __init__(	self ,		A=256 ,		A="relu" ,		A=2048 ,		A=2 ,		A=8 ,		A=2 ,		A=3 ,		A=3 ,		A=256 ,		A=1E-6 ,		**A ,		):






        '''simple docstring'''




        super().__init__(**A			)
        lowercase	:		str    =   hidden_size
        lowercase	:		Dict    =   hidden_act
        lowercase	:		Union[str, Any]    =   mlp_dim
        lowercase	:		Tuple    =   num_hidden_layers
        lowercase	:		List[str]    =   num_attention_heads
        lowercase	:		List[Any]    =   attention_downsample_rate
        lowercase	:		Union[str, Any]    =   num_multimask_outputs
        lowercase	:		List[Any]    =   iou_head_depth
        lowercase	:		Tuple    =   iou_head_hidden_dim
        lowercase	:		List[Any]    =   layer_norm_eps






class 	SCREAMING_SNAKE_CASE_		(							lowerCamelCase_					):



 def __init__(	self ,		A=768 ,		A=256 ,		A=12 ,		A=12 ,		A=3 ,		A=1024 ,		A=16 ,		A="gelu" ,		A=1E-06 ,		A=0.0 ,		A=1E-10 ,		A=True ,		A=4.0 ,		A=True ,		A=True ,		A=14 ,		A=[2, 5, 8, 11] ,		A=128 ,		A=None ,		**A ,		):






        '''simple docstring'''




        super().__init__(**A			)

        lowercase	:		Dict    =   hidden_size
        lowercase	:		List[Any]    =   output_channels
        lowercase	:		List[Any]    =   num_hidden_layers
        lowercase	:		List[str]    =   num_attention_heads
        lowercase	:		Optional[int]    =   num_channels
        lowercase	:		Union[str, Any]    =   image_size
        lowercase	:		Dict    =   patch_size
        lowercase	:		int    =   hidden_act
        lowercase	:		Dict    =   layer_norm_eps
        lowercase	:		Dict    =   attention_dropout
        lowercase	:		Optional[int]    =   initializer_range
        lowercase	:		Tuple    =   qkv_bias
        lowercase	:		List[Any]    =   mlp_ratio
        lowercase	:		Optional[Any]    =   use_abs_pos
        lowercase	:		Any    =   use_rel_pos
        lowercase	:		Any    =   window_size
        lowercase	:		Union[str, Any]    =   global_attn_indexes
        lowercase	:		Any    =   num_pos_feats
        lowercase	:		Optional[int]    =   int(hidden_size * mlp_ratio			) if mlp_dim is None else mlp_dim






class 	SCREAMING_SNAKE_CASE_		(							lowerCamelCase_					):
 __snake_case						:  Optional[Any]       =   "sam"
 __snake_case						:  List[Any]       =   True



 def __init__(	self ,		A=None ,		A=None ,		A=None ,		A=0.0_2 ,		**A ,		):






        '''simple docstring'''




        super().__init__(**A			)
        lowercase	:		List[str]    =   vision_config if vision_config is not None else {}
        lowercase	:		List[str]    =   prompt_encoder_config if prompt_encoder_config is not None else {}
        lowercase	:		Optional[int]    =   mask_decoder_config if mask_decoder_config is not None else {}

        if isinstance(A ,		A			):
               lowercase	:		Optional[Any]    =   vision_config.to_dict()
        if isinstance(A ,		A			):
               lowercase	:		int    =   prompt_encoder_config.to_dict()
        if isinstance(A ,		A			):
               lowercase	:		Any    =   mask_decoder_config.to_dict()

        lowercase	:		str    =   SamVisionConfig(**A			)
        lowercase	:		Any    =   SamPromptEncoderConfig(**A			)
        lowercase	:		Optional[int]    =   SamMaskDecoderConfig(**A			)
        lowercase	:		Union[str, Any]    =   initializer_range





 def  SCREAMING_SNAKE_CASE(	self			):






        '''simple docstring'''




        lowercase	:		Tuple    =   copy.deepcopy(self.__dict__			)
        lowercase	:		Tuple    =   self.vision_config.to_dict()
        lowercase	:		List[Any]    =   self.prompt_encoder_config.to_dict()
        lowercase	:		List[Any]    =   self.mask_decoder_config.to_dict()
        lowercase	:		int    =   self.__class__.model_type
        return output










'''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()




