takuseno

import nnabla as nn
import nnabla.functions as F
import nnabla.parametric_functions as PF
import nnabla.solvers as S
import numpy as np
import multiprocessing
import gym

from nnabla.monitor import Monitor, MonitorSeries
from collections import OrderedDict

takuseno

import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf

mode = 'maml'
seed = 0
plot = True
innerstepsize = 0.02 # stepsize in inner SGD
innerepochs = 1 # number of epochs of each inner SGD
outerstepsize0 = 0.1 if mode == 'reptile' else 0.001 # stepsize of outer optimization, i.e., meta-optimization

takuseno

def puts_colored(string, num)
  puts "[\e[32m#{num}\e[0m] #{string}"
end

file_name = ARGV[0]

File.open(file_name) do |file|
  file.each_line {|line|}
  timestamp = File.stat(file_name).mtime
  current_line = 0