ybj14

#!/usr/bin/env bash
#
# fluent-sync.sh — keep your Fluent learning data in sync across machines
# using a PRIVATE GitHub repository.
#
#   init     Machine 1 (first time): create the private repo, commit, push.
#   clone    Machine 2 (first time): clone the repo into the data dir.
#   push     After a session: commit local changes and upload.
#   pull     Before/after switching machines: download latest.
#   sync     The everyday command: pull --rebase then push.

ybj14

# Refer to `https://j-towns.github.io/2017/06/12/A-new-trick.html` for math details.
import torch
from torch import nn
from torch import autograd

def get_jvp(net, x, v):
  '''
  Generate jacobian vector product. Requires x.requires_grad()
  and v.requires_grad().
  Args: