dvgodoy

torch.manual_seed(42)

x_tensor = torch.from_numpy(x).float()
y_tensor = torch.from_numpy(y).float()

# Builds dataset with ALL data
dataset = TensorDataset(x_tensor, y_tensor)
# Splits randomly into train and validation datasets
train_dataset, val_dataset = random_split(dataset, [80, 20])

matheustguimaraes

Install CUDA 10.0 and cuDNN v7.4.2 on Ubuntu 16.04

Originally posted on: https://matheustguimaraes.com/blog/cuda-cudnn-ubuntu-installation

Install the latest NVIDIA driver

Update package lists, download and install NVIDIA driver

sudo apt-get update
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install nvidia-410

miguelmota

knowledge dump on container runtimes

KataContainers
- image coupled with kernel 
- light vm layer
- can run in nested virturalization environments if hardware supports and you can enable it in bios (ex. only bare metal EC2 instances, limits many cloud providers)
- slower startup time
- OCI compliant
- previously known as ClearContainers by Intel

Slauta

variables:
  VERSION_ID: '1.0.$CI_PIPELINE_ID'

stages:
  - build
  
build:
  image: slauta93/electron-builder-win
  stage: build
  artifacts:

nathantsoi

# openocd -f stm32f429-disco.cfg -c "program FILE_NAME.elf verify reset exit"
# for: http://www.st.com/web/catalog/tools/FM116/SC959/SS1532/PF259090

interface hla
hla_layout stlink
hla_device_desc "ST-LINK/V2"

# stm32f429 discovery 0483:374b
hla_vid_pid 0x0483 0x374b

TimSC

#Send image data to v4l2loopback using python
#Remember to do sudo modprobe v4l2loopback first!
#Released under CC0 by Tim Sheerman-Chase, 2013

import fcntl, sys, os
from v4l2 import *
import time
import scipy.misc as misc
import numpy as np