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

#!/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

# 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

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