xvjiarui

import argparse
import copy
import numpy as np
import os
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as T
import tqdm

denguir

How to install CUDA / cuDNN / TensorRT on Ubuntu

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

Remove previous NVIDIA installation

Pusnow

GzuPark

ARG UBUNTU_VERSION=20.04
ARG CUDA_VERSION=11.3.1
ARG CUDA=11.3
ARG CUDNN_VERSION=8

FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu${UBUNTU_VERSION}
LABEL maintainer "http://gzupark.dev"

ARG CUDA_VERSION
ARG CUDA

janbenetka

DECLARE i INT64 DEFAULT 0;
DECLARE DATES ARRAY<DATE>;
DECLARE event_date DATE;
  
SET DATES = GENERATE_DATE_ARRAY(DATE(2019,1,1), DATE(2019, 12, 31), INTERVAL 1 DAY);

LOOP
    SET i = i + 1;  

    IF i > ARRAY_LENGTH(DATES) THEN 

coolaj86

See bootableinstaller.com

How to create a Bootable MacOS Recovery USB from Linux

If your Mac is out-of-order or you otherwise cannot download macOS from the App Store, you can still create a bootable OS X recovery USB, and you can use that to create an Installer USB.

The downloads used in this process are legal and freely avaliable - including disk images directly from Apple's IT support pages, and open source utilities for extracting and converting pkg, dmg, and HFS+.

shreydesai

import torch
import torch.nn as nn

class AdditiveAttention(nn.Module):
    
    def __init__(self, hidden_dim):
        super().__init__()
        
        self.hidden_dim = hidden_dim
        

aafwu00

IntelliJ Tip 모음 2019.2.1 기준

IntelliJ 익숙지 않은 분께 도움이 될 tip, 모음

• 가급적 최신 버전 유지
• 버전이 2019.x 형태인데 저같은 경우 x 가 바뀔때 app cleaner 로 깔끔히 지우고 시작, 개취
  • intellij cache 를 많이 쓰는데 update 시 꼬이는 경우가 가끔 있고, 밀면 초기에 index 과정 지나면 좀 빠름
  • 신규 macOS 부터 Shift + Command + A 가 시스템 등록 되어있어서 System Preferences -> Keyboard -> Shortcuts -> Services -> Search man Page Index in Terminal 체크 해제

단축키(Mac 기준, keymap 은 Default Mac OS X 사용)

• IntelliJ Learn Plugin 으로 따라하기 모드가 생김: 이것만 알아도 됨

jeasinema

#!/usr/bin/env python
# -*- coding:UTF-8 -*-

import torch
import torch.nn as nn
import torch.nn.init as init


def weight_init(m):
    '''

hygull

STEPS

• Click on Help menu

• Select Enter License

• Then paste given KEY given at bottom

• Finally click on Use License