cobryan05

# Simple script to disable ASLR and make .nv_fatb sections read-only
# Requires: pefile  ( python -m pip install pefile )
# Usage:  fixNvPe.py --input path/to/*.dll

import argparse
import pefile
import glob
import os
import shutil

denizssch

FCKGW-RHQQ2-YXRKT-8TG6W-2B7Q8

Windows XP PRO Corporate serial number S/N: Key: MQPWW-PGVKX-YPMKG-8DH3G-KC8PW
windows xp home edition serial number S/N: 034634-262024-171505-828316-729010-413531-800424-400442
Windows XP 64 serial number S/N: B2RBK-7KPT9-4JP6X-QQFWM-PJD6G
Windows XP serial number S/N: K6C2K-KY62K-DQR84-RD4QV-QB74Q
Windows XP Professional 64-bit Corporate Edition 5.2.3790.1830 serial number S/N: VCFQD-V9FX9-46WVH-K3CD4-4J3JM
Microsoft Windows XP Professional SP2 serial number S/N: YY8F2-3CKVQ-RKTRG-6JMDR-9DTG6
Windows XP Professional Service Pack 1 sp1 serial number S/N: F46YY - 2R8VQ - R8GMY - 926VK - 6BQ73
Windows XP Pro serial number S/N: KBWR7-76BD8-J7MDQ-KKG&C-V9Q2J

Lexie88rus

def silu_inplace_2(input):
    '''
    Example of implementation of in-place SiLU activation function using torch.sigmoid_
    https://arxiv.org/pdf/1606.08415.pdf
    '''
    result = input.clone()
    torch.sigmoid_(input)
    input *= result
    return input

Lexie88rus

# create class for basic fully-connected deep neural network
class ClassifierSiLU(nn.Module):
    '''
    Demo classifier model class to demonstrate SiLU
    '''
    def __init__(self):
        super().__init__()

        # initialize layers
        self.fc1 = nn.Linear(784, 256)

Lexie88rus

# simply define a silu function
def silu(input):
    '''
    Applies the Sigmoid Linear Unit (SiLU) function element-wise:

        SiLU(x) = x * sigmoid(x)
    '''
    return input * torch.sigmoid(input) # use torch.sigmoid to make sure that we created the most efficient implemetation based on builtin PyTorch functions

# create a class wrapper from PyTorch nn.Module, so