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This are a collection of fixes and tweaks I used to get Xubuntu 18.04 LTS working on a lenovo thinkpad X380 yoga laptop.

• Bios:

  • First UPDATE IT, since some old bioses may cause bricking when settings are changed. I used 1.22 and it was fine, but it's no garuntee for others.
    • you can use linux or the preinstalled windows to update the bios http://positon.org/lenovo-thinkpad-bios-update-with-linux-and-usb
  • put into legacy mode (not UEFI) before install, to allow undervolting (to save power and heat)
    • 'Security -> Secure Boot - Set to "Disabled"'
  • (optional) turn off hyperthreading if you want to save more power

• (optional) find the settings for cpu power management and switch to power saving or balanced mode on battery (if not already)

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# This is a blocklist to block samsung smart tv's sending meta data at home.
# Please help to collect domains!
# It could be that the TV does not receive any more updates or other services no longer work. Please report such an incident.

abtauthprd.samsungcloudsolution.com
acr0.samsungcloudsolution.com
ad.samsungadhub.com
ads.samsungads.com
amauthprd.samsungcloudsolution.com
api-hub.samsungyosemite.com

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127.0.0.1 us.rdx2.lgtvsdp.com
127.0.0.1 us.info.lgsmartad.com
127.0.0.1 us.ibs.lgappstv.com
127.0.0.1 us.lgtvsdp.com
127.0.0.1 ad.lgappstv.com
127.0.0.1 smartshare.lgtvsdp.com
127.0.0.1 ibis.lgappstv.com

# added after fork
# from https://www.reddit.com/r/pihole/comments/6qmpv6/blacklists_for_lg_webos_tvs/ and others

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# coding: utf-8
import praw
import json
from tqdm import tqdm

# I store my secret here and .gitignore it rather than risk commiting passwords
secrets = json.load(open('.secrets/reddit.json'))

userAgent = 'python:thecultureflairs.py:v1.0 (by {})'.format(secrets['username'])
reddit = praw.Reddit(user_agent=userAgent, **secrets)

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from torch.optim.lr_scheduler import _LRScheduler
import numpy as np

class InterpolatingScheduler(_LRScheduler):
    def __init__(self, optimizer, steps, lrs, scale='log', last_epoch=-1):
        """A scheduler that interpolates given values
        
        Args:
        - optimizer: pytorch optimizer
        - steps: list or array with the x coordinates of the interpolated values

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from torch.nn.modules.utils import _pair

class CausalConv2d(nn.Conv2d):

    def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=None, dilation=1, groups=1, bias=True):
        kernel_size = _pair(kernel_size)
        stride = _pair(stride)
        dilation = _pair(dilation)
        if padding is None:
            padding = [int((kernel_size[i] -1) * dilation[i]) for i in range(len(kernel_size))]

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import datetime
print(datetime.datetime.utcnow().strftime('%Y%m%d_%H-%M-%S'))

import torch
print(torch._C._cudnn_version(), 'cudnn')
print(torch._C._cuda_getDriverVersion(), 'cuda driver')
print(torch._C._cuda_getCompiledVersion(), 'cuda compiled version')
print(torch._C._nccl_version(), 'nccl')
for i in range(torch.cuda.device_count()):
    print('device %s:'%i, torch.cuda.get_device_properties(i))