RuntimeError: set_sizes_contiguous is not allowed on Tensor created from .data or .detach(), in Pytorch 1.1.0

change old -> new 

old

v.data.resize_(data.size()).copy_(data)

NEW

with torch.no_grad():

    v.resize_(data.size()).copy_(data)

How to fix Python SSL CERTIFICATE_VERIFY_FAILED

 put this code on the top of code line:

import os, ssl

if (not os.environ.get('PYTHONHTTPSVERIFY', '') and

getattr(ssl, '_create_unverified_context', None)):

ssl._create_default_https_context = ssl._create_unverified_context

Get list from dir and separate train and test (python function)

from sklearn.model_selection import train_test_split

import random

import os

import glob

def train_test_split_from_dir(origin_dir, test_size=0.2):

os.chdir(origin_dir)

#get list

data_list = []

for file in glob.glob("*.jpg"):

data_list.append(file)

random.shuffle(data_list)

train_json_list, test_json_list = train_test_split(data_list, test_size=test_size)

return train_json_list, test_json_list