You also might wanna just use Whisky which does this automatically
This guide works on macOS 13.4+ using Command Line Tools for XCode 15 Beta!
In the recent WWDC, Apple announced and released the "game porting toolkit", which upon further inspection this is just a modified version of CrossOver's fork of wine which is a "compatibility layer" that allows you to run Windows applications on macOS and Linux.
| Unfortunately I have some bad news for downgrading. | |
| Before I explain the bad news at the end of this post, I first need to introduce a background of iOS devices. | |
| In iOS 16, Apple introduced a new firmware component known as Cryptex1. Technically, this is a "virtual" co-processor. | |
| It's purpose is to allow Apple to push RSRs (Rapid Security Responses) which are separate from traditional iOS updates and can be installed much faster. | |
| Like other firmwares, it also has a signing ticket locked to a cryptographic nonce (number-used-once). | |
| We commonly refer to the Apple signing tickets as SHSH blobs. | |
| Meaning the firmware can't be installed without a valid signing ticket as well as a matching nonce. | |
| The "big two" components we deal with signing/nonces are AP and SEP. AP is basically the main device chip (Application Processor). | |
| SEP is the security chip (Secure Enclave Processor). | |
| With regards to APNonce, Apple conveniently gave us the com.apple.System.boot-nonce NVRAM property which we use to set the APNonce generator. |
Run the following in the terminal:
Install the gcc-7 packages:
sudo apt-get install -y software-properties-common
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt update
sudo apt install g++-7 -y
Set it up so the symbolic links gcc, g++ point to the newer version:
| #!/usr/bin/env python3 | |
| """ | |
| encode.pyc is a compiled python file. | |
| The first 2 bytes \x16\x0d == 3350 mean that it's a python3 file. | |
| Python3.4 throws a bad magic number error, but python3.5 works. | |
| After trying a couple python decompilers, I found that unpyc3 worked the best: | |
| ``` | |
| duck@computer:~/Downloads$ python3.5 ../unpyc3.py encode.pyc | |
| import random |
List of desktop Nvidia GPUS ordered by CUDA core count
I created it for those who use Neural Style
Guys, please add your hardware setups, neural-style configs and results in comments!
| GPU | CUDA cores | Memory | Processor frequency |
|---|---|---|---|
| GeForce GTX TITAN Z | 5760 | 12 GB | 705 / 876 |