sanjoy

import numpy as np

def softmax_reduction(x, y):
    e_x = np.exp(x - np.max(x))
    softmax = e_x / e_x.sum(axis=0)
    return (softmax * y).sum()

def process_one_element(
        x, y, online_max, online_output, online_denominator):
    old_online_max = online_max

sanjoy

import tensorflow.compat.v1 as tf
import tensorflow.xla as xla
import numpy as np

tf.disable_eager_execution()

LABELS = 10
HIDDEN_SIZE = 256
BATCH_SIZE = 64
FEAT_DIM = 784

sanjoy

#!/bin/bash

if [[ "$#" -ne 1 ]]; then
    echo "usage: git trash < branch name >"
    exit 1
fi

git update-ref refs/trash/${1} ${1}
git branch -D ${1}

sanjoy

template<typename T>
bool is_even_0(T v) {
  // v is odd iff it has an multiplicative inverse modulo 2^bitwidth(T)
  for (T i = 1; i != 0; i++)
    if (T(v * i) == T(1))
      return false;  // odd
  return true;
}

sanjoy

#!/bin/bash

git svn dcommit --dry-run | grep 'diff-tree' | awk '{print $3}' | while read hash; do
    git log --stat -n 1 ${hash}
    echo " -- "
    echo ""
done | less -FRXS

sanjoy

#ifndef __PRIME_HPP
#define __PRIME_HPP

#include <algorithm>
#include <cassert>
#include <climits>
#include <iostream>
#include <vector>

class PrimeCheck {

sanjoy

#include <algorithm>
#include <climits>
#include <iostream>
#include <vector>

using namespace std;

namespace {

class PrimeCheck {