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# torch.unsqueeze(1)可以新增shape
example:
x_val = torch.Size([10000, 28, 28])
x_val = x_val.unsqueeze(1)
# [out] torch.Size([10000, 1, 28, 28])


# the ToTensor method to convert images into PyTorch tensors.
# passed the transformer function to the dataset class. This way, data
# transformation will happen on-the-fly. This is a useful technique for large datasets that

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# CLI
! CUDA_VISIBLE_DEVICES=1 python train.py

# Inside train.py
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"

# 執行時，會出現GPU的編號，此編號並非實際GPU序號，而是把第1張GPU當成第0張使用

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#使用itertools.permutations(x)列出所有element的可能組合
import itertools

x = ['1','2','3']
perm = itertools.permutations(x)
for i in perm:
  print(i)

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wget --load-cookies /tmp/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=FILEID' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=FILEID" -O FILENAME && rm -rf /tmp/cookies.txt

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class Bank(object):
    def __init__(self):
        self.balance = 1000  #預設存款1000

    def deposit_money(self, amount):    # CREATE
        return self.balance + amount

    def get_balance(self):            # READ
        return self.balance

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// 每60分钟自动运行代码刷新，解除90分钟断开限制.

// 使用方法：colab页面按下 F12或者 Ctrl+Shift+I (mac按 Option+Command+I) 在console（控制台） 输入以下代码并回车.

// 复制以下代码粘贴在浏览器console！！不要关闭浏览器以免失效
function ConnectButton(){
    console.log("Connect pushed"); 
    document.querySelector("#connect").click() 
}
setInterval(ConnectButton,60000);

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<!-- 

self closing elements:如meta標籤、img標籤，只要單行就可以結尾，不用縮排
一般的elements:<div>、<style>需要</div>、</style>的，則需要縮排
.google-review-img = <div class="google-review-img"></div>

可使用 https://pughtml.com/ 進行Pug to html語法轉換

-->

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<meta name="viewport" content="width=device-width, initial-scale=1">

<style>
    .google-review-img{
    background-color: #2693B0;
    text-align: center;  
    display: block;
    max-width:100%;
    width:100%;
    }

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import 'package:flutter_secure_storage/flutter_secure_storage.dart';
import 'package:googleapis_auth/auth_io.dart';

class SecureStorage {
  final storage = FlutterSecureStorage();

  //Save Credentials
  Future saveCredentials(AccessToken token, String refreshToken) async {
    print(token.expiry.toIso8601String());
    await storage.write(key: "type", value: token.type);

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import 'dart:async';
import 'dart:io';

import 'package:MainCamera/GoogleDrive/secureStorage.dart';
import 'package:flutter_webview_plugin/flutter_webview_plugin.dart';
import 'package:googleapis/drive/v3.dart' as ga;
import 'package:googleapis_auth/auth_io.dart';
import 'package:http/http.dart' as http;
import 'package:path/path.dart' as p;