bsantraigi

/*
 * character_map.h
 *
 * Created: 6/12/2014 3:49:06 PM
 *  Author: [email protected]
 */ 

#include <avr/io.h>
#include <avr/pgmspace.h>
#include <inttypes.h>

bsantraigi

/*
 * GLCD.c
 *
 * Created: 5/8/2014 10:41:05 AM
 *  Author: Bishal Santra
 */ 


#define F_CPU 1000000UL
#include <avr/io.h>

bsantraigi

/*
 * GLCD.h
 *
 * Created: 6/12/2014 9:52:42 AM
 *  Author: [email protected]
 */ 


#ifndef GLCD_H_
#define GLCD_H_

bsantraigi

//
// Source code for application to transmit image from ov7670 to PC via USB
// By Siarhei Charkes in 2015
// http://privateblog.info 
//

#include <stdint.h>
#include <avr/io.h>
#include <util/twi.h>
#include <util/delay.h>

bsantraigi

#!/bin/bash

##
## FROM https://github.com/floydhub/dl-docker
##
## Before running the script change versions and compilation flags below.
## If you're having trouble running the whole script, try running
## each command separately.
##
## List of compiled tensorflow packages https://github.com/yaroslavvb/tensorflow-community-wheels/issues

bsantraigi

Installing Ubuntu 16.04 with Cuda 8-0 in MSI-GP62 6QF (Or similar systems)

• There are two modes of this installation
  • Install Ubuntu to only use NVIDIA GPU. Intel HD doesn't work in this mode but everything works really well in this setting and you don't have to install bumblebee and all
  • Install bumblebee to switch between NVIDIA and Intel GPU as required to save battery power(also it's life). Using this you will need to use optirun to make any program run using GPU and Cuda. This can be problematic in certain scenarios as the optirun library uses lots of old libraries which creates conflict with newer programs(like pip)

Prepare a Bootable flash drive

Steps:

bsantraigi

sudo lsblk # Lists all and confirm if the disk is attached to the vm

# Format the disk
# Assuming new disk is detected and named as /dev/sdb
# Uncomment if you want to format
# sudo mkfs.ext4 -m 0 -F -E lazy_itable_init=0,lazy_journal_init=0,discard /dev/sdb

# Going the mount the disk on blackhole
sudo mkdir -p /blackhole
sudo mount -o discard,defaults /dev/sdb /blackhole

bsantraigi

import re, os, sys, glob
import subprocess, shlex
import csv
from subprocess import STDOUT, check_output
import ntpath

folder = 'Assignment 1_e_/'
custom_input = b"0 4.0 3 0 1 3\n"
# _required_files = ['encode.txt', 'log.txt', 'decode.txt']
_required_files = []

bsantraigi

# Check Gradient
for p in model.parameters():
    param_norm = p.grad.data.norm(2)
    total_norm += param_norm.item() ** 2
total_norm = total_norm ** (1. / 2)

# Clip Gradient Norm
optimizer.zero_grad()        
loss, hidden = model(data, hidden, targets)
loss.backward()

bsantraigi

#!/bin/bash
#$ -N qtest
#$ -j y                         # Merge the IO to standard IO
#$ -pe smp 6
#$ -cwd                         # Run in current directory. Otherwise defaults to home folder
#$ -V
#$ -l h_vmem=6G
#$ -l gpu=2

# For more options, follow the steps from http://bioinformatics.mdc-berlin.de/intro2UnixandSGE/index.html