






import math

import torch
from torch import nn
from torch.nn import init

from .binarizer import MagnitudeBinarizer, ThresholdBinarizer, TopKBinarizer







class       UpperCAmelCase_						( nn.Linear			):



      """simple docstring"""
      def __init__(    self   ,    SCREAMING_SNAKE_CASE_   ,    SCREAMING_SNAKE_CASE_   ,    SCREAMING_SNAKE_CASE_ = True   ,    SCREAMING_SNAKE_CASE_ = "constant"   ,    SCREAMING_SNAKE_CASE_ = 0.0   ,    SCREAMING_SNAKE_CASE_ = "topK"   ,    )    ->				Tuple:
          super(SCREAMING_SNAKE_CASE_   ,    self			).__init__(in_features=SCREAMING_SNAKE_CASE_   ,    out_features=SCREAMING_SNAKE_CASE_   ,    bias=SCREAMING_SNAKE_CASE_			)
          assert pruning_method in ["topK", "threshold", "sigmoied_threshold", "magnitude", "l0"]
          UpperCamelCase	:List[str]     							=       pruning_method

          if self.pruning_method in ["topK", "threshold", "sigmoied_threshold", "l0"]:
              UpperCamelCase	:List[Any]     							=       mask_scale
              UpperCamelCase	:Tuple     							=       mask_init
              UpperCamelCase	:Tuple     							=       nn.Parameter(torch.empty(self.weight.size()			)			)
              self.init_mask()
      def    UpperCAmelCase						(    self			)    ->				List[str]:
          if self.mask_init == "constant":
              init.constant_(self.mask_scores   ,    val=self.mask_scale			)
          elif self.mask_init == "uniform":
              init.uniform_(self.mask_scores   ,    a=-self.mask_scale   ,    b=self.mask_scale			)
          elif self.mask_init == "kaiming":
              init.kaiming_uniform_(self.mask_scores   ,    a=math.sqrt(5			)			)




      def    UpperCAmelCase						(    self   ,    SCREAMING_SNAKE_CASE_   ,    SCREAMING_SNAKE_CASE_			)    ->				int:
          # Get the mask
          if self.pruning_method == "topK":
              UpperCamelCase	:str     							=       TopKBinarizer.apply(self.mask_scores   ,    SCREAMING_SNAKE_CASE_			)
          elif self.pruning_method in ["threshold", "sigmoied_threshold"]:
              UpperCamelCase	:Tuple     							=       '''sigmoied''' in self.pruning_method
              UpperCamelCase	:str     							=       ThresholdBinarizer.apply(self.mask_scores   ,    SCREAMING_SNAKE_CASE_   ,    SCREAMING_SNAKE_CASE_			)
          elif self.pruning_method == "magnitude":
              UpperCamelCase	:Tuple     							=       MagnitudeBinarizer.apply(self.weight   ,    SCREAMING_SNAKE_CASE_			)
          elif self.pruning_method == "l0":
              UpperCamelCase							,       UpperCamelCase							,       UpperCamelCase	:Tuple     							=       -0.1, 1.1, 2 / 3
              if self.training:
                  UpperCamelCase	:List[str]     							=       torch.zeros_like(self.mask_scores			).uniform_().clamp(0.0001   ,    0.9999			)
                  UpperCamelCase	:Optional[int]     							=       torch.sigmoid((u.log() - (1 - u).log() + self.mask_scores) / b			)
              else:
                  UpperCamelCase	:str     							=       torch.sigmoid(self.mask_scores			)
              UpperCamelCase	:List[Any]     							=       s * (r - l) + l
              UpperCamelCase	:List[Any]     							=       s_bar.clamp(min=0.0   ,    max=1.0			)
          # Mask weights with computed mask
          UpperCamelCase	:str     							=       mask * self.weight
          # Compute output (linear layer) with masked weights
          return nn.functional.linear(SCREAMING_SNAKE_CASE_   ,    SCREAMING_SNAKE_CASE_   ,    self.bias			)













from __future__ import annotations

from enum import Enum







class       UpperCAmelCase_						( lowercase			):



      """simple docstring"""
      UpperCamelCase_    : Optional[Any]									=24
      UpperCamelCase_    : Any									=21
      UpperCamelCase_    : Union[str, Any]									=18
      UpperCamelCase_    : Tuple									=15
      UpperCamelCase_    : List[Any]									=12
      UpperCamelCase_    : Optional[Any]									=9
      UpperCamelCase_    : List[str]									=6
      UpperCamelCase_    : List[str]									=3
      UpperCamelCase_    : Any									=2
      UpperCamelCase_    : List[str]									=1
      UpperCamelCase_    : Optional[Any]									=-1
      UpperCamelCase_    : str									=-2
      UpperCamelCase_    : Any									=-3
      UpperCamelCase_    : Optional[int]									=-6
      UpperCamelCase_    : int									=-9
      UpperCamelCase_    : Optional[int]									=-12
      UpperCamelCase_    : Optional[Any]									=-15
      UpperCamelCase_    : str									=-18
      UpperCamelCase_    : int									=-21
      UpperCamelCase_    : Union[str, Any]									=-24







class       UpperCAmelCase_						( lowercase			):



      """simple docstring"""
      UpperCamelCase_    : Tuple									=8
      UpperCamelCase_    : str									=7
      UpperCamelCase_    : List[str]									=6
      UpperCamelCase_    : List[str]									=5
      UpperCamelCase_    : int									=4
      UpperCamelCase_    : Optional[Any]									=3
      UpperCamelCase_    : Optional[Any]									=2
      UpperCamelCase_    : List[str]									=1







def   _A       (    SCREAMING_SNAKE_CASE__  :     float					,  SCREAMING_SNAKE_CASE__  :     str | SIUnit					,  SCREAMING_SNAKE_CASE__  :     str | SIUnit					,  ):
    if isinstance(SCREAMING_SNAKE_CASE__					,  SCREAMING_SNAKE_CASE__	):
        UpperCamelCase	:str     							=       SIUnit[known_prefix.lower()]
    if isinstance(SCREAMING_SNAKE_CASE__					,  SCREAMING_SNAKE_CASE__	):
        UpperCamelCase	:Any     							=       SIUnit[unknown_prefix.lower()]
    UpperCamelCase	:float     							=       known_amount * (
        10 ** (known_prefix.value - unknown_prefix.value)
    )
    return unknown_amount


def   _A       (    SCREAMING_SNAKE_CASE__  :     float					,  SCREAMING_SNAKE_CASE__  :     str | BinaryUnit					,  SCREAMING_SNAKE_CASE__  :     str | BinaryUnit					,  ):
    if isinstance(SCREAMING_SNAKE_CASE__					,  SCREAMING_SNAKE_CASE__	):
        UpperCamelCase	:Dict     							=       BinaryUnit[known_prefix.lower()]
    if isinstance(SCREAMING_SNAKE_CASE__					,  SCREAMING_SNAKE_CASE__	):
        UpperCamelCase	:List[str]     							=       BinaryUnit[unknown_prefix.lower()]
    UpperCamelCase	:float     							=       known_amount * (
        2 ** ((known_prefix.value - unknown_prefix.value) * 10)
    )
    return unknown_amount


if __name__ == "__main__":
 import doctest

 doctest.testmod()





