pdet

import torch
import torch.nn as nn
import duckdb
import pyarrow as pa 
import matplotlib.pyplot as plt

class LinearRegression(nn.Module):
    def __init__(self, input_dim, output_dim):
        super(LinearRegression, self).__init__()
        self.linear = nn.Linear(input_dim, output_dim)

sayakpaul

This document walks you through the steps to prepare a wget compatible link from a file that is located in your Google Drive.

Motivation: When working in Deep Learning, we often use Google Colab, Kaggle Kernels, or Cloud Instances for training our models on GPUs. But the problem that comes with it is we often have to upload all the necessary files required to get things up and running. This is particularly problematic when we have a large dataset and this cannot be uploaded/gathered directly (sometimes, scp does not work as well). We may have a dataset stored in our Google Drives. In situations like that, we generally create a wget compatible link from the file (typically the dataset) located in our Google Drive (this document only deals with Google Drive).

Steps:

• Right click on the file (located in Google Drive) and click on "Share".
• In the Link sharing on section, change the permissions of your file to "Anyone with the link can view" and copy the link.
• Now, the link should resemble `

alswl

[repositories]
  local
  huaweicloud-ivy: https://mirrors.huaweicloud.com/repository/ivy/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext]
  huaweicloud-maven: https://mirrors.huaweicloud.com/repository/maven/ 
  bintray-typesafe-ivy: https://dl.bintray.com/typesafe/ivy-releases/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext]
  bintray-sbt-plugins: https://dl.bintray.com/sbt/sbt-plugin-releases/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext], bootOnly

  # aliyun not works for ivy
  # aliyun-ivy: https://maven.aliyun.com/repository/public/, [organization]/[module]/(scala_[scalaVersion]/)(sbt_[sbtVersion]/)[revision]/[type]s/[artifact](-[classifier]).[ext]
  # aliyun-public-mirror:  https://maven.aliyun.com/repository/public/

RolandOtta

#!/bin/bash

function initStaticParams
{
   MONGODB_SERVER=127.0.0.1
   MONOGDB_PORT=27017
   MONGODB_USER=
   MONGODB_PWD=
   OUTPUT_DIRECTORY=/mnt/backups/oplogs
   LOG_FILE="/appl/mongo-backup/logs/backup.log"

le0pard

#!/bin/bash
# simple shmsetup script
page_size=`getconf PAGE_SIZE`
phys_pages=`getconf _PHYS_PAGES`
shmall=`expr $phys_pages / 2`
shmmax=`expr $shmall \* $page_size`
echo kernel.shmmax = $shmmax
echo kernel.shmall = $shmall