Picking the right architecture = Picking the right battles + Managing trade-offs
- Clarify and agree on the scope of the system
- User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?
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import argparse | |
import torch | |
import torch.nn as nn | |
from torch.autograd import Variable | |
from torch.utils.data import DataLoader | |
import torchvision | |
import torchvision.transforms as T | |
from torchvision.datasets import ImageFolder |
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// the solution by StefanPochmann https://leetcode.com/problems/swap-nodes-in-pairs/discuss/11019/7-8-lines-C++-Python-Ruby | |
ListNode* swapPairs(ListNode* head) { | |
ListNode **pp = &head, *a, *b; | |
while ((a = *pp) && (b = a->next)) { | |
a->next = b->next; | |
b->next = a; | |
*pp = b; | |
pp = &(a->next); | |
} | |
return head; |
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index=1 | |
# ls -rt means list in the order of oldest first | |
for i in $(ls *.pdf -rt) | |
do | |
cp "${i}" "${index}_${i}" | |
index=$((index+1)) | |
done |
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#!/usr/bin/env python | |
""" | |
Download all the pdfs linked on a given webpage | |
Revised from the original author elssar's gist (https://gist.github.com/elssar/5160757) to scrap the pdf links in piazza resources | |
tab, the original script is for the websits don't need login. But you have | |
to login piazza to scape the contents. So I revised the request.post with | |
authentification info and turn the program to run with Python3 | |
Usage - | |
python grab_pdfs.py url <path/to/directory> |
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
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