charlieoneill11

def training_loop(n_epochs, model, optimiser, loss_fn, 
                  train_input, train_target, test_input, test_target):
    for i in range(n_epochs):
        def closure():
            optimiser.zero_grad()
            out = model(train_input)
            loss = loss_fn(out, train_target)
            loss.backward()
            return loss
        optimiser.step(closure)

rust-play

extern crate futures;
extern crate hyper;
extern crate tokio;
extern crate tokio_threadpool; // 0.1.4
#[macro_use]
extern crate serde_derive;
extern crate serde;
extern crate serde_json;

use futures::sync::oneshot;

fduran

# Linux. Act upon an event in a log file
# www.fduran.com

apt-get upgrade; apt-get install inotify-tools

# create file myalert.sh:
# example finding Exception in tomcat log and sending email

#!/bin/bash
while inotifywait -e modify /path/to/file.log; do