Kei-jan

'''
AdaIN
url: https://gist.github.com/Kei-jan/2cb4200ca0a5d136ed72c03a929e353c

usage:
normalized_feat = adaptive_instance_normalization(content_feat, style_feat)

content_feat: Tensor[B,C,*,]
style_feat: Tensor[B,C,*]
normalized_feat: Tensor[B,C,*] (equal to content_feat)

Kei-jan

def type2type(sourcepath:str,savepath:str,sourcetype:str,savetype:str):
    '''
    See sub-files 
    
    sourcepath: 
    
    '''
    pass
    

Kei-jan

from tqdm import tqdm
import time

for i in tqdm(range(100)):
    for j in tqdm(range(100)):
        tqdm.write(f'epoch{j}\nwithin{i}')
        #tqdm.external_write_mode(print("Epoch: {}",i))
        time.sleep(1)

# note : use f string has the better use of tqdm.write method as this could escape from the error happens when wanna print structuralized string with args.

Kei-jan

update cuda

1. get sudo

2. get linux version

nvidia-smi: highest cuda supportable installed
uname -smr: linux version
cat /etc/os-release: system version

Kei-jan

import matplotlib.pyplot as plt
import random
import matplotlib
import numpy as np

def generate_random_decimal_list(x):
    return [round(random.uniform(0, 1), 4) for _ in range(x)]

#matplotlib.rc('font', family='SimHei', weight='bold')
 

Kei-jan

rsync -avz -e "ssh -p [port]" /path/to/source/  user@ipaddress:/path/to/target/

Kei-jan

#!/bin/bash  
  
# Set the environment variable  
HF_ENDPOINT="https://hf-mirror.com"  
  
# Define the maximum number of retries, e.g., retry up to 5 times  
MAX_RETRIES=5  
RETRIES=0  
  
# Loop until we either succeed or reach the maximum number of retries