sroecker

import torch

print("pytorch version: " + torch.__version__)
print("CUDA available: " + str(torch.cuda.is_available()))
print("device count: " + str(torch.cuda.device_count()))
print("current device: " + str(torch.cuda.current_device()))
print("device name: " + torch.cuda.get_device_name(torch.cuda.current_device()))
print("backend:")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(device)

williballenthin

radare2

load without any analysis (file header at offset 0x0): r2 -n /path/to/file

• analyze all: aa
• show sections: iS
• list functions: afl
• list imports: ii
• list entrypoints: ie
• seek to function: s sym.main

erincandescent

library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.NUMERIC_STD.ALL;

entity NibblerCPU is Port( 
   clk : in  STD_LOGIC;
   rst : in  STD_LOGIC;
   
   prog_addr : out std_logic_vector(11 downto 0);
   prog_data : in std_logic_vector(7 downto 0);