LujunWeng

    void doPerm(vector<int>& nums, int start, 
                vector<vector<int>>& collector) {
        if (start == nums.size())
            collector.push_back(nums);
        else {
            for (int i = start; i < nums.size(); ++i) {
                std::swap(nums[start], nums[i]);
                doPerm(nums, start+1, collector);
                std::swap(nums[start], nums[i]);
            }

LujunWeng

# try running cpu intensive test on two devices

import tensorflow as tf
import time

def matmul_op():
  """Multiply two matrices together"""
  
  n = 2000
  a = tf.ones((n, n), dtype=tf.float32)

LujunWeng

from tensorflow.python.client import device_lib

def get_available_device():
    local_device_protos = device_lib.list_local_devices()
    return local_device_protos

print(get_available_device())

LujunWeng

# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data


def doublewrap(function):
    """
    A decorator decorator, allowing to use the decorator to be used without