chrischoy

function cuda_compile( src_path, func_name, matlab_root, cuda_root, out_path, debug)
%CUDA_COMPILE general cuda compiling helper for MATLAB version < 2014a
if nargin < 6
  debug = false;
end

if ~exist('./bin', 'dir')
  mkdir('./bin')
end

chrischoy

# Personalized theme based on kafeitu

# Grab the current date (%D) and time (%T) wrapped in {}: {%D %T}
CURRENT_TIME_="%{$fg_bold[white]%}{%{$fg_bold[yellow]%}%D %T%{$fg_bold[white]%}}%{$reset_color%}"

PROMPT='%{$fg_bold[red]%}➜ %{$fg_bold[green]%}%n%{$fg[cyan]%}@%{$fg_bold[green]%}%m%{$fg_bold[green]%}%p %{$fg[cyan]%}%~ %{$fg_bold[blue]%}$(git_prompt_info)%{$fg_bold[blue]%}% %{$reset_color%}'
RPROMPT='$CURRENT_TIME_'

ZSH_THEME_GIT_PROMPT_PREFIX="git:(%{$fg[red]%}"
ZSH_THEME_GIT_PROMPT_SUFFIX="%{$reset_color%}"

chrischoy

#!/bin/sh

SERVER=$1
ENVNAME=$2

ENV_ROOT="/cvgl/u/chrischoy/.pyv/${SERVER}/${ENVNAME}/bin"

# Check the number of arguments
if [ "$#" -eq 2 ] && [ -d "${ENV_ROOT}" ]; then
    export OLD_LD_LIBRARY_PATH=$LD_LIBRARY_PATH

chrischoy

import tensorflow as tf
import numpy as np

def smoothed_metric_loss(input_tensor, name='smoothed_triplet_loss', margin=1):
    '''
    input_tensor: require a tensor with predefined dimensions (No None dimension)
                  Every two consecutive vectors must be a positive pair. There
                  should not be more than one pair from each class.
    '''
    with tf.variable_scope(name):

chrischoy

No more manual logging

The template run.ch provides a wrapper for running and managing experiments. The file will

• Log all stdout/stderr into a log file in a respective folder
• Maintail the log of all experiments with the details in manifest.md file.
• Update the experiments if you kill the job prematurely

Usage

chrischoy

import torch
from torch.autograd import Variable, Function

class MultiplyAdd(Function):
  @staticmethod
  def forward(ctx, input1, scalar, input2):
    ctx.scalar = scalar
    ctx.test = {'test': 3}
    return input1 + scalar * input2
    

chrischoy

Rendering latex Eqs in Markdown

• Github doesn't allow javascript in a markdown file. Try to compile equations using readme2tex presents an elegant solution for rendering latex equations.

• grip runs a simple http server to visualize a readme file on a browser. It also tracks changes in a readme file and refresh the page whenever there is a change. However, you need to embed the following script so that the Mathjax renders eqs.

  <script async src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS_CHTML"></script>
  <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" onload="javascript:MathJax.Hub.Queue(['Typeset', MathJax.Hub]);">

chrischoy

#  Copyright (C) 2012 Daniel Maturana
#  This file is part of binvox-rw-py.
#
#  binvox-rw-py is free software: you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
#
#  binvox-rw-py is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of

chrischoy

#!/bin/bash
tmux start-server
tmux new-session -d -s napoli -n monitor

SERVERS=(napoli101 napoli102 napoli103 napoli104 napoli105 napoli106 napoli107 napoli108 napoli109 napoli110 napoli111 napoli112 visionlab-dgx1)

# ${#array[@]} is the number of elements in the array
for ((i = 0; i < ${#SERVERS[@]}; ++i)); do
  tabnum=$(( $i + 1 ))
  tmux new-window -t napoli:$tabnum

chrischoy

#!/bin/sh

ENVNAME=$1
# Directory that contains the venvs
PYV_ROOT=${HOME}

ENV_ROOT="${PYV_ROOT}/.pyv/${ENVNAME}/bin"

# Check the number of arguments
if [ "$#" -eq 1 ] && [ -d "${ENV_ROOT}" ]; then