repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/LoginConf.py | inter/LoginConf.py | # coding=utf-8
from config.urlConf import urls
def loginConf(session):
"""
判断登录是否需要验证码
:param session:
:return:
"""
loginConfUrl = urls.get("loginConf")
loginConfRsp = session.httpClint.send(urls=loginConfUrl, data={})
if loginConfRsp and loginConfRsp.get("data", {}).get("is_login_pass... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/ConfirmSingleForQueue.py | inter/ConfirmSingleForQueue.py | # coding=utf-8
import datetime
import time
from inter.CheckRandCodeAnsyn import checkRandCodeAnsyn
from inter.GetPassengerDTOs import getPassengerDTOs
from inter.GetRandCode import getRandCode
from inter.QueryOrderWaitTime import queryOrderWaitTime
class confirmSingleForQueue:
def __init__(self, session, ifShowP... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/GetRepeatSubmitToken.py | inter/GetRepeatSubmitToken.py | # coding=utf-8
import json
import re
class getRepeatSubmitToken:
def __init__(self, session):
self.session = session
def sendGetRepeatSubmitToken(self):
"""
获取提交车票请求token
:return: token
"""
initdc_url = self.session.urls["initdc_url"]
initdc_result = se... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/AutoSubmitOrderRequest.py | inter/AutoSubmitOrderRequest.py | # coding=utf-8
import urllib
from collections import OrderedDict
from config.TicketEnmu import ticket
from inter.CheckRandCodeAnsyn import checkRandCodeAnsyn
from inter.GetQueueCountAsync import getQueueCountAsync
from inter.GetRandCode import getRandCode
import TickerConfig
class autoSubmitOrderRequest:
"""
... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/Query.py | inter/Query.py | # coding=utf-8
import copy
import random
import wrapcache
from config import urlConf
from config.TicketEnmu import ticket
from myUrllib.httpUtils import HTTPClient
from config.configCommon import seat_conf_2
import TickerConfig
class query:
"""
查询接口
"""
def __init__(self, selectObj, from_station, to_... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/__init__.py | inter/__init__.py | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false | |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/GetPassCodeNewOrderAndLogin.py | inter/GetPassCodeNewOrderAndLogin.py | # coding=utf-8
import base64
import copy
import random
def getPassCodeNewOrderAndLogin(session, imgType):
"""
下载验证码
:param session:
:param imgType: 下载验证码类型，login=登录验证码，其余为订单验证码
:return:
"""
if imgType == "login":
codeImgUrl = copy.deepcopy(session.urls["getCodeImg"])
codeIm... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/GetQueueCountAsync.py | inter/GetQueueCountAsync.py | import TickerConfig
[]# coding=utf-8
import datetime
import sys
import time
from collections import OrderedDict
import wrapcache
from inter.ConfirmSingleForQueueAsys import confirmSingleForQueueAsys
class getQueueCountAsync:
"""
排队
"""
def __init__(self,
session,
t... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/CheckOrderInfo.py | inter/CheckOrderInfo.py | # coding=utf-8
from collections import OrderedDict
from inter.GetQueueCount import getQueueCount
from inter.GetRepeatSubmitToken import getRepeatSubmitToken
class checkOrderInfo:
def __init__(self, session, train_no, set_type, passengerTicketStrList, oldPassengerStr, station_dates, ticket_peoples):
self.... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/SubmitOrderRequest.py | inter/SubmitOrderRequest.py | # coding=utf-8
import datetime
import urllib
from collections import OrderedDict
import TickerConfig
from config.urlConf import urls
from inter.CheckOrderInfo import checkOrderInfo
from inter.ConfirmHB import confirmHB
from inter.PassengerInitApi import passengerInitApi
from myException.ticketIsExitsException import ti... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/GetSuccessRate.py | inter/GetSuccessRate.py | from collections import OrderedDict
from config.urlConf import urls
import TickerConfig
from inter.SubmitOrderRequest import submitOrderRequestByAfterNate
class getSuccessRate:
def __init__(self, session, secretList):
"""
获取成功信息
"""
self.secretList = secretList
self.sessi... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/inter/GetRandCode.py | inter/GetRandCode.py | # coding=utf-8
from PIL import Image
from config.urlConf import urls
from myUrllib.httpUtils import HTTPClient
from verify.localVerifyCode import Verify
import TickerConfig
import os
if TickerConfig.AUTO_CODE_TYPE == 2:
v = Verify()
def getRandCode(is_auto_code, auto_code_type, result):
"""
识别验证码
:... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/UnitTest/__init__.py | UnitTest/__init__.py | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false | |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/UnitTest/TestAll.py | UnitTest/TestAll.py | # coding=utf-8
import base64
import threading
import unittest
from collections import OrderedDict
import requests
import TickerConfig
from agency.agency_tools import proxy
from config.emailConf import sendEmail
from config.serverchanConf import sendServerChan
from inter.LiftTicketInit import liftTicketInit
def _set... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/agency/agency_tools.py | agency/agency_tools.py | # encoding=utf8
import os
import random
import socket
import time
import requests
from bs4 import BeautifulSoup
class proxy:
def __init__(self):
self.proxy_list = []
self.proxy_filter_list = []
def get_proxy(self):
"""
获取未加工代理列表
:return:
"""
User_Agen... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/agency/cdn_utils.py | agency/cdn_utils.py | # encoding=utf8
import datetime
import operator
import os
import requests
from config import urlConf
import threading
from config.urlConf import urls
from myUrllib.httpUtils import HTTPClient
cdn_list = []
class CDNProxy(threading.Thread):
def __init__(self, cdns):
super().__init__()
self.cdns =... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/agency/__init__.py | agency/__init__.py | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false | |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/configCommon.py | config/configCommon.py | # -*- coding: utf-8 -*-
import datetime
import os
import random
import sys
import time
from myException.ticketConfigException import ticketConfigException
rushRefreshMinTimeIntval = 2000
rushRefreshMaxTimeIntval = 3600000
rushRefreshTimeIntval = 100
# 最早运行时间
maxRunTime = 6
# 程序停止时间
maxRunStopTime = 23
# 可售天数
maxDate ... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/pushbearConf.py | config/pushbearConf.py | # -*- coding: utf8 -*-
import TickerConfig
from config.urlConf import urls
from myUrllib.httpUtils import HTTPClient
PUSH_BEAR_API_PATH = "https://pushbear.ftqq.com/sub"
def sendPushBear(msg):
"""
pushBear微信通知
:param str: 通知内容 content
:return:
"""
if TickerConfig.PUSHBEAR_CONF["is_pushbear"] ... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/AutoSynchroTime.py | config/AutoSynchroTime.py | # coding=utf-8
import os
import platform
import ntplib
import datetime
def autoSynchroTime():
"""
同步北京时间，执行时候，请务必用sudo，sudo，sudo 执行，否则会报权限错误，windows打开ide或者cmd请用管理员身份
:return:
"""
c = ntplib.NTPClient()
hosts = ['ntp1.aliyun.com', 'ntp2.aliyun.com', 'ntp3.aliyun.com', 'ntp4.aliyun.com', 'cn.p... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/getCookie.py | config/getCookie.py | import json
import random
import re
import time
import os
import TickerConfig
from config.urlConf import urls
def getDrvicesID(session):
"""
:return:
"""
print("cookie获取中")
if TickerConfig.COOKIE_TYPE is 1:
from selenium import webdriver
cookies = []
# 解决放镜像里 DevToolsActive... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/urlConf.py | config/urlConf.py | # coding=utf-8
import random
import TickerConfig
import time
urls = {
"auth": { # 登录接口
"req_url": "/passport/web/auth/uamtk",
"req_type": "post",
"Referer": "https://kyfw.12306.cn/otn/resources/login.html",
"Host": "kyfw.12306.cn",
"Content-Type": 1,
"re_try": 10,
... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/logger.py | config/logger.py | #coding: utf-8
import os
import time
import logging
from config import configCommon
logger = None
loggerHandler = None
dateStr = '' #默认拥有日期后缀
suffix = '' #除了日期外的后缀
def setSuffix(s):
global suffix
suffix = s
def getTodayDateStr():
return time.strftime("%Y-%m-%d", time.localtime(configCommon.getNowTimestamp()))
... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/serverchanConf.py | config/serverchanConf.py | # -*- coding: utf8 -*-
import TickerConfig
from config.urlConf import urls
from myUrllib.httpUtils import HTTPClient
PUSH_SERVER_CHAN_PATH = "https://sc.ftqq.com"
def sendServerChan(msg):
"""
pushBear微信通知
:param str: 通知内容 content
:return:
"""
if (
TickerConfig.SERVER_CHAN_CONF["is_ser... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/emailConf.py | config/emailConf.py | # -*- coding: utf8 -*-
import socket
__author__ = 'MR.wen'
import TickerConfig
from email.header import Header
from email.mime.text import MIMEText
import smtplib
def sendEmail(msg):
"""
邮件通知
:param str: email content
:return:
"""
try:
if TickerConfig.EMAIL_CONF["IS_MAIL"]:
... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/TicketEnmu.py | config/TicketEnmu.py | # coding=utf-8
from enum import Enum
class ticket(object):
QUERY_C = u"查询到有余票，尝试提交订单"
QUERY_IN_BLACK_LIST = u"该车次{} 正在被关小黑屋，跳过此车次"
SUCCESS_CODE = 000000
FAIL_CODE = 999999
AUTO_SUBMIT_ORDER_REQUEST_C = u"提交订单成功"
AUTO_SUBMIT_ORDER_REQUEST_F = u"提交订单失败，重新刷票中"
AUTO_SUBMIT_NEED_CODE = u"需要验证码... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/config/__init__.py | config/__init__.py | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false | |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/init/login.py | init/login.py | # -*- coding=utf-8 -*-
import copy
import time
from collections import OrderedDict
from time import sleep
import TickerConfig
from inter.GetPassCodeNewOrderAndLogin import getPassCodeNewOrderAndLogin1
from inter.GetRandCode import getRandCode
from inter.LoginAysnSuggest import loginAysnSuggest
from inter.LoginConf impo... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/init/select_ticket_info.py | init/select_ticket_info.py | # -*- coding=utf-8 -*-
import datetime
import random
import os
import socket
import sys
import threading
import time
import TickerConfig
import wrapcache
from agency.cdn_utils import CDNProxy, open_cdn_file
from config import urlConf, configCommon
from config.TicketEnmu import ticket
from config.configCommon import sea... | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false |
testerSunshine/12306 | https://github.com/testerSunshine/12306/blob/a495af88346a0d794493c6030f6a6207debb5824/init/__init__.py | init/__init__.py | python | MIT | a495af88346a0d794493c6030f6a6207debb5824 | 2026-01-04T14:42:34.772408Z | false | |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/01-basics/linear_regression/main.py | tutorials/01-basics/linear_regression/main.py | import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as plt
# Hyper-parameters
input_size = 1
output_size = 1
num_epochs = 60
learning_rate = 0.001
# Toy dataset
x_train = np.array([[3.3], [4.4], [5.5], [6.71], [6.93], [4.168],
[9.779], [6.182], [7.59], [2.167], [7.042]... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/01-basics/feedforward_neural_network/main.py | tutorials/01-basics/feedforward_neural_network/main.py | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Hyper-parameters
input_size = 784
hidden_size = 500
num_classes = 10
num_epochs = 5
batch_size = 100
learning_rate = 0.001
... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/01-basics/pytorch_basics/main.py | tutorials/01-basics/pytorch_basics/main.py | import torch
import torchvision
import torch.nn as nn
import numpy as np
import torchvision.transforms as transforms
# ================================================================== #
# Table of Contents #
# ========================================================... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/01-basics/logistic_regression/main.py | tutorials/01-basics/logistic_regression/main.py | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Hyper-parameters
input_size = 28 * 28 # 784
num_classes = 10
num_epochs = 5
batch_size = 100
learning_rate = 0.001
# MNIST dataset (images and labels)
train_dataset = torchvision.datasets.MNIST(root='../../data', ... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/neural_style_transfer/main.py | tutorials/03-advanced/neural_style_transfer/main.py | from __future__ import division
from torchvision import models
from torchvision import transforms
from PIL import Image
import argparse
import torch
import torchvision
import torch.nn as nn
import numpy as np
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def load_image(... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/generative_adversarial_network/main.py | tutorials/03-advanced/generative_adversarial_network/main.py | import os
import torch
import torchvision
import torch.nn as nn
from torchvision import transforms
from torchvision.utils import save_image
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Hyper-parameters
latent_size = 64
hidden_size = 256
image_size = 784
num_epochs = ... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/variational_autoencoder/main.py | tutorials/03-advanced/variational_autoencoder/main.py | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from torchvision import transforms
from torchvision.utils import save_image
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Create a directory if not exists
sample_dir = 'sam... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/image_captioning/data_loader.py | tutorials/03-advanced/image_captioning/data_loader.py | import torch
import torchvision.transforms as transforms
import torch.utils.data as data
import os
import pickle
import numpy as np
import nltk
from PIL import Image
from build_vocab import Vocabulary
from pycocotools.coco import COCO
class CocoDataset(data.Dataset):
"""COCO Custom Dataset compatible with torch.u... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/image_captioning/train.py | tutorials/03-advanced/image_captioning/train.py | import argparse
import torch
import torch.nn as nn
import numpy as np
import os
import pickle
from data_loader import get_loader
from build_vocab import Vocabulary
from model import EncoderCNN, DecoderRNN
from torch.nn.utils.rnn import pack_padded_sequence
from torchvision import transforms
# Device configuration
de... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/image_captioning/build_vocab.py | tutorials/03-advanced/image_captioning/build_vocab.py | import nltk
import pickle
import argparse
from collections import Counter
from pycocotools.coco import COCO
class Vocabulary(object):
"""Simple vocabulary wrapper."""
def __init__(self):
self.word2idx = {}
self.idx2word = {}
self.idx = 0
def add_word(self, word):
if not wo... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/image_captioning/model.py | tutorials/03-advanced/image_captioning/model.py | import torch
import torch.nn as nn
import torchvision.models as models
from torch.nn.utils.rnn import pack_padded_sequence
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
"""Load the pretrained ResNet-152 and replace top fc layer."""
super(EncoderCNN, self).__init__()
resnet =... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/image_captioning/resize.py | tutorials/03-advanced/image_captioning/resize.py | import argparse
import os
from PIL import Image
def resize_image(image, size):
"""Resize an image to the given size."""
return image.resize(size, Image.ANTIALIAS)
def resize_images(image_dir, output_dir, size):
"""Resize the images in 'image_dir' and save into 'output_dir'."""
if not os.path.exists(o... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/03-advanced/image_captioning/sample.py | tutorials/03-advanced/image_captioning/sample.py | import torch
import matplotlib.pyplot as plt
import numpy as np
import argparse
import pickle
import os
from torchvision import transforms
from build_vocab import Vocabulary
from model import EncoderCNN, DecoderRNN
from PIL import Image
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/04-utils/tensorboard/logger.py | tutorials/04-utils/tensorboard/logger.py | # Code referenced from https://gist.github.com/gyglim/1f8dfb1b5c82627ae3efcfbbadb9f514
import tensorflow as tf
import numpy as np
import scipy.misc
try:
from StringIO import StringIO # Python 2.7
except ImportError:
from io import BytesIO # Python 3.x
class Logger(object):
def __init__(self... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/04-utils/tensorboard/main.py | tutorials/04-utils/tensorboard/main.py | import torch
import torch.nn as nn
import torchvision
from torchvision import transforms
from logger import Logger
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# MNIST dataset
dataset = torchvision.datasets.MNIST(root='../../data',
... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/02-intermediate/language_model/data_utils.py | tutorials/02-intermediate/language_model/data_utils.py | import torch
import os
class Dictionary(object):
def __init__(self):
self.word2idx = {}
self.idx2word = {}
self.idx = 0
def add_word(self, word):
if not word in self.word2idx:
self.word2idx[word] = self.idx
self.idx2word[self.idx] = word
... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/02-intermediate/language_model/main.py | tutorials/02-intermediate/language_model/main.py | # Some part of the code was referenced from below.
# https://github.com/pytorch/examples/tree/master/word_language_model
import torch
import torch.nn as nn
import numpy as np
from torch.nn.utils import clip_grad_norm_
from data_utils import Dictionary, Corpus
# Device configuration
device = torch.device('cuda' if to... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/02-intermediate/convolutional_neural_network/main.py | tutorials/02-intermediate/convolutional_neural_network/main.py | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Device configuration
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# Hyper parameters
num_epochs = 5
num_classes = 10
batch_size = 100
learning_rate = 0.001
# MNIST dataset
train_dataset = ... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py | tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Hyper-parameters
sequence_length = 28
input_size = 28
hidden_size = 128
num_layers = 2
num_classes = 10
batch_size = 100
nu... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/02-intermediate/recurrent_neural_network/main.py | tutorials/02-intermediate/recurrent_neural_network/main.py | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Hyper-parameters
sequence_length = 28
input_size = 28
hidden_size = 128
num_layers = 2
num_classes = 10
batch_size = 100
nu... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial/blob/0500d3df5a2a8080ccfccbc00aca0eacc21818db/tutorials/02-intermediate/deep_residual_network/main.py | tutorials/02-intermediate/deep_residual_network/main.py | # ---------------------------------------------------------------------------- #
# An implementation of https://arxiv.org/pdf/1512.03385.pdf #
# See section 4.2 for the model architecture on CIFAR-10 #
# Some part of the code was referenced from below ... | python | MIT | 0500d3df5a2a8080ccfccbc00aca0eacc21818db | 2026-01-04T14:42:57.921424Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/train.py | train.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Legacy entry point. Use fairseq_cli/train.py or fairseq-train instead.
"""
from fairseq_cli.train import cli_mai... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/release_utils.py | release_utils.py | import argparse
from typing import Tuple
def get_next_version(release_type) -> Tuple[Tuple[int, int, int], str, str]:
current_ver = find_version("fairseq/version.txt")
version_list = [int(x) for x in current_ver.strip("'").split(".")]
major, minor, patch = version_list[0], version_list[1], version_list[2]... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/setup.py | setup.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import subprocess
import sys
from setuptools import Extension, find_packages, setup
from torch.utils import ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/hubconf.py | hubconf.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""isort:skip_file"""
import functools
import importlib
dependencies = [
"dataclasses",
"hydra",
"numpy",
"omegaconf",
"... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/shard_docs.py | scripts/shard_docs.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Split a large file into shards while respecting document boundaries. Documents
should be separated by a single empty... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/check_installation.py | scripts/check_installation.py | from pathlib import Path
import os
cwd = Path(".").resolve()
print("running 'check_installation.py' from:", cwd)
# Old versions of numpy/torch can prevent loading the .so files
import torch
print("torch:", torch.__version__)
import numpy
print("numpy:", numpy.__version__)
import fairseq
print("Fairseq installed a... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/spm_train.py | scripts/spm_train.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import, division, print_function, unicode_literals
import sys
impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/rm_pt.py | scripts/rm_pt.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import re
import shutil
import sys
pt_regexp = re.compile(r"checkpoint(\d+|_\d+_\d+|_[a-z]+... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/count_docs.py | scripts/count_docs.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Count the number of documents and average number of lines and tokens per
document in a large file. Documents should ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/compare_namespaces.py | scripts/compare_namespaces.py | #!/usr/bin/env python
"""Helper script to compare two argparse.Namespace objects."""
from argparse import Namespace # noqa
def main():
ns1 = eval(input("Namespace 1: "))
ns2 = eval(input("Namespace 2: "))
def keys(ns):
ks = set()
for k in dir(ns):
if not k.startswith("_"):
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/build_sym_alignment.py | scripts/build_sym_alignment.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Use this script in order to build symmetric alignments for your translation
dataset.
This script depends on fast_align and mosesdecoder too... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/__init__.py | scripts/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/spm_encode.py | scripts/spm_encode.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
i... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/average_checkpoints.py | scripts/average_checkpoints.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import collections
import os
import re
import torch
from fairseq.file_io import PathManager
def ave... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/spm_decode.py | scripts/spm_decode.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/read_binarized.py | scripts/read_binarized.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from fairseq.data import Dictionary, data_utils, indexed_dataset
def get_parser():
parser = argp... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/split_train_valid_docs.py | scripts/split_train_valid_docs.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Split a large file into a train and valid set while respecting document
boundaries. Documents should be separated by... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/constraints/validate.py | scripts/constraints/validate.py | #!/usr/bin/env python3
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
"""Reads in a fairseq output file, and verifies that the constraints
(C- lines) are present in the outpu... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/scripts/constraints/extract.py | scripts/constraints/extract.py | #!/usr/bin/env python3
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Extracts random constraints from reference files."""
import argparse
import random
import sys
def get_phrase(wo... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/train.py | fairseq_cli/train.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Train a new model on one or across multiple GPUs.
"""
import argparse
import logging
import math
import os
impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/hydra_train.py | fairseq_cli/hydra_train.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import hydra
import torch
from hydra.core.hydra_config import HydraConfig
from omegaconf i... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/generate.py | fairseq_cli/generate.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Translate pre-processed data with a trained model.
"""
import ast
import logging
import math
import os
import sy... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/validate.py | fairseq_cli/validate.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
from argparse import Namespace
from itertools import chain
import torch
from om... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/interactive.py | fairseq_cli/interactive.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Translate raw text with a trained model. Batches data on-the-fly.
"""
import ast
import fileinput
import logging... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/hydra_validate.py | fairseq_cli/hydra_validate.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
from itertools import chain
import torch
from hydra.core.hydra_config import Hy... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/__init__.py | fairseq_cli/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/score.py | fairseq_cli/score.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
BLEU scoring of generated translations against reference translations.
"""
import argparse
import os
import sys
fr... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/eval_lm.py | fairseq_cli/eval_lm.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Evaluate the perplexity of a trained language model.
"""
import logging
import math
import os
import sys
from a... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/fairseq_cli/preprocess.py | fairseq_cli/preprocess.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Data pre-processing: build vocabularies and binarize training data.
"""
import logging
import os
import shutil
impo... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/hydra_plugins/dependency_submitit_launcher/setup.py | hydra_plugins/dependency_submitit_launcher/setup.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# type: ignore
from pathlib import Path
from read_version import read_version
from setuptools import find_namespace_packages, setup
setup(
name="dependency-submitit-launcher",
version=read_version("hydra_plugins/dependency_submitit_launche... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/hydra_plugins/dependency_submitit_launcher/hydra_plugins/dependency_submitit_launcher/launcher.py | hydra_plugins/dependency_submitit_launcher/hydra_plugins/dependency_submitit_launcher/launcher.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os
import subprocess
from pathlib import Path
from typing import Any, List, Sequence
from hydra.core.singleton import Singleton
from hydra.core.utils import JobReturn, filter_overrides
from omegaconf import OmegaConf
log = lo... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/hydra_plugins/dependency_submitit_launcher/hydra_plugins/dependency_submitit_launcher/config.py | hydra_plugins/dependency_submitit_launcher/hydra_plugins/dependency_submitit_launcher/config.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from dataclasses import dataclass, field
from hydra.core.config_store import ConfigStore
from hydra_plugins.hydra_submitit_launcher.config import SlurmQueueConf
@dataclass
class DependencySubmititConf(SlurmQueueConf):
"""Slurm configuration ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/hydra_plugins/dependency_submitit_launcher/hydra_plugins/dependency_submitit_launcher/__init__.py | hydra_plugins/dependency_submitit_launcher/hydra_plugins/dependency_submitit_launcher/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
__version__ = "0.1"
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_amp_optimizer.py | tests/test_amp_optimizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import copy
import unittest
import torch
from torch.cuda.amp import GradScaler, autocast
from fairseq.optim import build_opt... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_sequence_scorer.py | tests/test_sequence_scorer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import unittest
import tests.utils as test_utils
import torch
from fairseq.sequence_scorer import SequenceScorer
class Test... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_data_utils.py | tests/test_data_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import numpy as np
from fairseq.data.data_utils_fast import batch_by_size_fn, batch_by_size_vec
class TestBatchBySize(unit... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_transformer.py | tests/test_transformer.py | import argparse
import unittest
from typing import Any, Dict, Sequence
import torch
from fairseq.models import transformer
from tests.test_roberta import FakeTask
def mk_sample(tok: Sequence[int] = None, batch_size: int = 2) -> Dict[str, Any]:
if not tok:
tok = [10, 11, 12, 13, 14, 15, 2]
batch = t... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_inference_dropout.py | tests/test_inference_dropout.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import unittest
from fairseq.dataclass.utils import convert_namespace_to_omegaconf
from fairseq.models.transformer import Tran... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_roberta.py | tests/test_roberta.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import functools
import unittest
from typing import Any, Dict, Sequence
import fairseq
import fairseq.options
import fairseq.tasks
import tor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_espnet_multihead_attention.py | tests/test_espnet_multihead_attention.py | import torch
import numpy as np
import unittest
from fairseq.modules import (
ESPNETMultiHeadedAttention,
RelPositionMultiHeadedAttention,
RotaryPositionMultiHeadedAttention,
)
torch.use_deterministic_algorithms(True)
class TestESPNETMultiHeadedAttention(unittest.TestCase):
def setUp(self) -> None:
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_metrics.py | tests/test_metrics.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import uuid
from fairseq.logging import metrics
class TestMetrics(unittest.TestCase):
def test_nesting(self):
w... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_file_io.py | tests/test_file_io.py | # This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import shutil
import sys
import tempfile
import unittest
from typing import Optional
from unittest.mock import MagicMock
class TestFileIO(unittest.TestCase):
_tmpdir: Optional[st... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_sparse_multihead_attention.py | tests/test_sparse_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
class TestSparseMultiheadAtten... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_rotary_positional_embedding.py | tests/test_rotary_positional_embedding.py | import torch
import numpy as np
import unittest
from fairseq.modules.rotary_positional_embedding import apply_rotary_pos_emb
from fairseq.modules import RotaryPositionalEmbedding
class TestRotaryPositionalEmbedding(unittest.TestCase):
def setUp(self) -> None:
self.T = 3
self.B = 1
self.C =... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_ema.py | tests/test_ema.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from copy import deepcopy
from dataclasses import dataclass
import pytest
from typing import Optional
from unittest.mock impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_noising.py | tests/test_noising.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from typing import Dict, List
import torch
import tests.utils as test_utils
from fairseq import utils
from fairseq.data impo... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_convtbc.py | tests/test_convtbc.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
import torch.nn as nn
from fairseq.modules import ConvTBC
class TestConvTBC(unittest.TestCase):
def test_c... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_concat_dataset.py | tests/test_concat_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairseq.data.concat_dataset import ConcatDa... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/tests/test_export.py | tests/test_export.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fair... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.