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Setting up a MSI laptop with GPU (gtx1060)

Installing Ubuntu 18.04, CUDA, CDNN, Pytorch and TensorFlow

Installing Ubuntu 18.04

Get Image

https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-ubuntu#0

Install (solving issues)

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import pytorch_lightning as pl
import numpy as np
import torch
from torch.nn import MSELoss
from torch.optim import Adam
from torch.utils.data import DataLoader, Dataset
import torch.nn as nn


class SimpleDataset(Dataset):

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from scipy.io.wavfile import read, write
import io

## This may look a bit intricate/useless, considering the fact that scipy's read() and write() function already return a
## numpy ndarray, but the BytesIO "hack" may be useful in case you get the wav not through a file, but trough some websocket or
## HTTP Post request. This should obviously work with any other sound format, as long as you have the proper decoding function

with open("input_wav.wav", "rb") as wavfile:
    input_wav = wavfile.read()

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import time

from random import randrange
from multiprocessing.pool import ThreadPool

from tqdm import tqdm


def func_call(position, total):
    text = 'progressbar #{position}'.format(position=position)

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import argparse
import json
import os
import random
import time

import numpy as np
import torch.distributed as dist
import torch.utils.data.distributed
from apex import amp