
"""simple docstring"""




import functools
import operator

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


UpperCAmelCase__   :					str												=				logging.get_logger(__name__)

UpperCAmelCase__   :					Dict												=				{
    'microsoft/unispeech-large-1500h-cv': (
        'https://huggingface.co/microsoft/unispeech-large-1500h-cv/resolve/main/config.json'
    ),
    # See all UniSpeech models at https://huggingface.co/models?filter=unispeech
}



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				__UpperCamelCase   :		List[str]       =     '''unispeech'''



				def __init__(self     , SCREAMING_SNAKE_CASE__=32     , SCREAMING_SNAKE_CASE__=7_68     , SCREAMING_SNAKE_CASE__=12     , SCREAMING_SNAKE_CASE__=12     , SCREAMING_SNAKE_CASE__=30_72     , SCREAMING_SNAKE_CASE__="gelu"     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.0     , SCREAMING_SNAKE_CASE__=0.0     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.02     , SCREAMING_SNAKE_CASE__=1E-5     , SCREAMING_SNAKE_CASE__="group"     , SCREAMING_SNAKE_CASE__="gelu"     , SCREAMING_SNAKE_CASE__=(5_12, 5_12, 5_12, 5_12, 5_12, 5_12, 5_12)     , SCREAMING_SNAKE_CASE__=(5, 2, 2, 2, 2, 2, 2)     , SCREAMING_SNAKE_CASE__=(10, 3, 3, 3, 3, 2, 2)     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=1_28     , SCREAMING_SNAKE_CASE__=16     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=0.05     , SCREAMING_SNAKE_CASE__=10     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=0.0     , SCREAMING_SNAKE_CASE__=10     , SCREAMING_SNAKE_CASE__=0     , SCREAMING_SNAKE_CASE__=3_20     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=1_00     , SCREAMING_SNAKE_CASE__=2_56     , SCREAMING_SNAKE_CASE__=2_56     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__="mean"     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=2_56     , SCREAMING_SNAKE_CASE__=80     , SCREAMING_SNAKE_CASE__=0     , SCREAMING_SNAKE_CASE__=1     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=0.5     , **SCREAMING_SNAKE_CASE__     , )      ->	List[Any]:



											"""simple docstring"""




											super().__init__(**SCREAMING_SNAKE_CASE__     , pad_token_id=SCREAMING_SNAKE_CASE__     , bos_token_id=SCREAMING_SNAKE_CASE__     , eos_token_id=SCREAMING_SNAKE_CASE__					)
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     hidden_size
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     feat_extract_norm
											SCREAMING_SNAKE_CASE__		: Any     =     feat_extract_activation
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     list(SCREAMING_SNAKE_CASE__					)
											SCREAMING_SNAKE_CASE__		: str     =     list(SCREAMING_SNAKE_CASE__					)
											SCREAMING_SNAKE_CASE__		: Tuple     =     list(SCREAMING_SNAKE_CASE__					)
											SCREAMING_SNAKE_CASE__		: List[str]     =     conv_bias
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     num_conv_pos_embeddings
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     num_conv_pos_embedding_groups
											SCREAMING_SNAKE_CASE__		: Dict     =     len(self.conv_dim					)
											SCREAMING_SNAKE_CASE__		: List[str]     =     num_hidden_layers
											SCREAMING_SNAKE_CASE__		: str     =     intermediate_size
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     hidden_act
											SCREAMING_SNAKE_CASE__		: Any     =     num_attention_heads
											SCREAMING_SNAKE_CASE__		: Dict     =     hidden_dropout
											SCREAMING_SNAKE_CASE__		: List[str]     =     attention_dropout
											SCREAMING_SNAKE_CASE__		: Any     =     activation_dropout
											SCREAMING_SNAKE_CASE__		: int     =     feat_proj_dropout
											SCREAMING_SNAKE_CASE__		: List[Any]     =     final_dropout
											SCREAMING_SNAKE_CASE__		: str     =     layerdrop
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     layer_norm_eps
											SCREAMING_SNAKE_CASE__		: Dict     =     initializer_range
											SCREAMING_SNAKE_CASE__		: Dict     =     num_ctc_classes
											SCREAMING_SNAKE_CASE__		: List[Any]     =     vocab_size
											SCREAMING_SNAKE_CASE__		: str     =     do_stable_layer_norm
											SCREAMING_SNAKE_CASE__		: Dict     =     use_weighted_layer_sum
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     classifier_proj_size

											if (
											    (len(self.conv_stride					) != self.num_feat_extract_layers)
											    or (len(self.conv_kernel					) != self.num_feat_extract_layers)
											    or (len(self.conv_dim					) != self.num_feat_extract_layers)
											):
																		raise ValueError(
																		    """Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="""
																		    """ `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="""
																		    F''' {len(self.conv_dim					)}`, `len(config.conv_stride) = {len(self.conv_stride					)}`,'''
																		    F''' `len(config.conv_kernel) = {len(self.conv_kernel					)}`.'''					)

											# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
											SCREAMING_SNAKE_CASE__		: Tuple     =     apply_spec_augment
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     mask_time_prob
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     mask_time_length
											SCREAMING_SNAKE_CASE__		: List[str]     =     mask_time_min_masks
											SCREAMING_SNAKE_CASE__		: Tuple     =     mask_feature_prob
											SCREAMING_SNAKE_CASE__		: Any     =     mask_feature_length
											SCREAMING_SNAKE_CASE__		: int     =     mask_feature_min_masks

											# parameters for pretraining with codevector quantized representations
											SCREAMING_SNAKE_CASE__		: Dict     =     num_codevectors_per_group
											SCREAMING_SNAKE_CASE__		: Any     =     num_codevector_groups
											SCREAMING_SNAKE_CASE__		: str     =     contrastive_logits_temperature
											SCREAMING_SNAKE_CASE__		: str     =     feat_quantizer_dropout
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     num_negatives
											SCREAMING_SNAKE_CASE__		: Tuple     =     codevector_dim
											SCREAMING_SNAKE_CASE__		: List[Any]     =     proj_codevector_dim
											SCREAMING_SNAKE_CASE__		: Tuple     =     diversity_loss_weight

											# ctc loss
											SCREAMING_SNAKE_CASE__		: int     =     ctc_loss_reduction
											SCREAMING_SNAKE_CASE__		: str     =     ctc_zero_infinity

											# pretraining loss
											SCREAMING_SNAKE_CASE__		: List[str]     =     replace_prob



				@property
				def 			__magic_name__					(self					)      ->	Tuple:



											"""simple docstring"""




											return functools.reduce(operator.mul     , self.conv_stride     , 1					)






"""simple docstring"""




from manim import *



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				def 			__magic_name__					(self					)      ->	Any:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Dict     =     Rectangle(height=0.5     , width=0.5					)
											SCREAMING_SNAKE_CASE__		: Dict     =     Rectangle(height=0.46     , width=0.46					).set_stroke(width=0					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     Rectangle(height=0.25     , width=0.25					)

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

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

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

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

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     []
											SCREAMING_SNAKE_CASE__		: Any     =     []

											for i, rect in enumerate(SCREAMING_SNAKE_CASE__					):
																		SCREAMING_SNAKE_CASE__		: List[str]     =     fill.copy().set_fill(SCREAMING_SNAKE_CASE__     , opacity=0.8					)
																		target.move_to(SCREAMING_SNAKE_CASE__					)
																		model_arr.append(SCREAMING_SNAKE_CASE__					)

																		SCREAMING_SNAKE_CASE__		: List[str]     =     Rectangle(height=0.46     , width=0.46					).set_stroke(width=0.0					).set_fill(SCREAMING_SNAKE_CASE__     , opacity=0.8					)
																		cpu_target.move_to(cpu_left_col_base[i]					)
																		model_cpu_arr.append(SCREAMING_SNAKE_CASE__					)

											self.add(*SCREAMING_SNAKE_CASE__     , *SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Tuple     =     [meta_mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: List[str]     =     [meta_mem.copy() for i in range(6					)]
											SCREAMING_SNAKE_CASE__		: Any     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: int     =     VGroup(*SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     VGroup(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0					)
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     Text("""Disk"""     , font_size=24					)
											SCREAMING_SNAKE_CASE__		: Any     =     Group(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					).arrange(SCREAMING_SNAKE_CASE__     , buff=0.5     , aligned_edge=SCREAMING_SNAKE_CASE__					)
											disk.move_to([-4, -1.25, 0]					)
											self.add(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)

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

											SCREAMING_SNAKE_CASE__		: List[str]     =     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(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: Any     =     MarkupText(
											    F'''<span fgcolor=\'{BLUE}\'>●</span> Checkpoint'''     , font_size=18     , )

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

											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     MarkupText(
											    F'''Now watch as an input is passed through the model\nand how the memory is utilized and handled.'''     , font_size=24     , )
											step_a.move_to([2, 2, 0]					)

											self.play(Write(SCREAMING_SNAKE_CASE__					)					)

											SCREAMING_SNAKE_CASE__		: Dict     =     Square(0.3					)
											input.set_fill(SCREAMING_SNAKE_CASE__     , opacity=1.0					)
											input.set_stroke(width=0.0					)
											input.next_to(model_base[0]     , SCREAMING_SNAKE_CASE__     , buff=0.5					)

											self.play(Write(SCREAMING_SNAKE_CASE__					)					)

											input.generate_target()
											input.target.next_to(model_arr[0]     , direction=SCREAMING_SNAKE_CASE__     , buff=0.02					)
											self.play(MoveToTarget(SCREAMING_SNAKE_CASE__					)					)

											self.play(FadeOut(SCREAMING_SNAKE_CASE__					)					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     Arrow(start=SCREAMING_SNAKE_CASE__     , end=SCREAMING_SNAKE_CASE__     , color=SCREAMING_SNAKE_CASE__     , buff=0.5					)
											a.next_to(model_arr[0].get_left()     , SCREAMING_SNAKE_CASE__     , buff=0.2					)

											model_cpu_arr[0].generate_target()
											model_cpu_arr[0].target.move_to(gpu_rect[0]					)

											SCREAMING_SNAKE_CASE__		: Tuple     =     MarkupText(
											    F'''As the input reaches a layer, the hook triggers\nand weights are moved from the CPU\nto the GPU and back.'''     , font_size=24     , )
											step_a.move_to([2, 2, 0]					)

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

											SCREAMING_SNAKE_CASE__		: Tuple     =     {"""run_time""": 1, """fade_in""": True, """fade_out""": True, """buff""": 0.02}

											self.play(
											    Write(SCREAMING_SNAKE_CASE__					)     , Circumscribe(model_arr[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(model_cpu_arr[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(gpu_rect[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , )
											self.play(MoveToTarget(model_cpu_arr[0]					)					)

											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     a.copy()
											for i in range(6					):
																		a_c.next_to(model_arr[i].get_right() + 0.02     , SCREAMING_SNAKE_CASE__     , buff=0.2					)

																		input.generate_target()
																		input.target.move_to(model_arr[i].get_right() + 0.02					)

																		SCREAMING_SNAKE_CASE__		: Optional[Any]     =     AnimationGroup(
																		    FadeOut(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , MoveToTarget(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , FadeIn(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , lag_ratio=0.2					)

																		self.play(SCREAMING_SNAKE_CASE__					)

																		model_cpu_arr[i].generate_target()
																		model_cpu_arr[i].target.move_to(cpu_left_col_base[i]					)

																		if i < 5:
																									model_cpu_arr[i + 1].generate_target()
																									model_cpu_arr[i + 1].target.move_to(gpu_rect[0]					)
																									if i >= 1:
																																SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     0.7

																									self.play(
																									    Circumscribe(model_arr[i]     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(cpu_left_col_base[i]     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(cpu_left_col_base[i + 1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(gpu_rect[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(model_arr[i + 1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , )
																									if i < 1:
																																self.play(
																																    MoveToTarget(model_cpu_arr[i]					)     , MoveToTarget(model_cpu_arr[i + 1]					)     , )
																									else:
																																self.play(
																																    MoveToTarget(model_cpu_arr[i]     , run_time=0.7					)     , MoveToTarget(model_cpu_arr[i + 1]     , run_time=0.7					)     , )
																		else:
																									model_cpu_arr[i].generate_target()
																									model_cpu_arr[i].target.move_to(cpu_left_col_base[-1]					)
																									input.generate_target()
																									input.target.next_to(model_arr[-1].get_right()     , RIGHT + 0.02     , buff=0.2					)

																									self.play(
																									    Circumscribe(model_arr[-1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(cpu_left_col_base[-1]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , Circumscribe(gpu_rect[0]     , color=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)     , )

																									self.play(MoveToTarget(model_cpu_arr[i]					)					)

																		SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     a_c
																		SCREAMING_SNAKE_CASE__		: Optional[Any]     =     a_c.copy()

											input.generate_target()
											input.target.next_to(model_base[-1]     , RIGHT + 0.02     , buff=0.5					)
											self.play(
											    FadeOut(SCREAMING_SNAKE_CASE__					)     , FadeOut(SCREAMING_SNAKE_CASE__     , run_time=0.5					)     , )

											SCREAMING_SNAKE_CASE__		: Dict     =     MarkupText(F'''Inference on a model too large for GPU memory\nis successfully completed.'''     , font_size=24					)
											step_a.move_to([2, 2, 0]					)

											self.play(Write(SCREAMING_SNAKE_CASE__     , run_time=3					)     , MoveToTarget(SCREAMING_SNAKE_CASE__					)					)

											self.wait()




