culurciello

#!/usr/bin/env torch
require 'nn'
require 'image'
require 'xlua'
require 'pl'


opt = lapp[[
   -t,--threads            (default 8)           number of threads
   -p,--type               (default float)       float or cuda

culurciello

/*
Test of C code speed
compile with: gcc -Ofast -fopenmp -mavx mactest.c
or gfortran -O3 -fopenmp mactest.c 
*/
 
#include <stdio.h>
#include <stdlib.h>
#include <fcntl.h>
#include <sys/time.h>

culurciello

/*
Test of C code speed with Apple Accelerate Framework and openmp
https://developer.apple.com/library/mac/documentation/Accelerate/Reference/BLAS_Ref/Reference/reference.html#//apple_ref/c/func/cblas_sgemm
compile with: 
gcc -Ofast -fopenmp -flax-vector-conversions -framework Accelerate acctest.c 
*/
 
#include <stdio.h>
#include <stdlib.h>
#include <fcntl.h>

culurciello

-- test of FFI vs regular lua code
-- EC march 21st 2014

torch.setdefaulttensortype('torch.FloatTensor')

require 'sys'
require 'image'
require 'torchffi'
local bit = require('bit')
local ffi = require('ffi')

culurciello

-- E. Culurciello Oct 2014
-- video file loading in macos
-- a cheap ffmpeg hack / alternative:

require("image")
local lfs = require "lfs"

video = {}

function video:init(args)

culurciello

--------------------------------------------------------------------------------
-- E. Culurciello, October 2014
-- socket test in node.js and Lua
--------------------------------------------------------------------------------

require 'image'
local async = require 'async'

-- tcp client:
async.tcp.connect({host='127.0.0.1', port=6969}, function(client)

culurciello

// Example of sending to Lua code and receiving results:
// E. Culurciello, November 2014

// server and socket test:
// http://www.hacksparrow.com/tcp-socket-programming-in-node-js.html
var net = require('net');
var HOST = '127.0.0.1';
var PORT = 6969;

// Create a server instance, and chain the listen function to it

culurciello

--[[ precision-test

Compare precision of hardware and software implementation
run with: qlua precision-network.lua

--]]

require 'nn'
require 'pl'
require 'image'

culurciello

-- net cpu/gpu speed test
-- E. Culurciello, March 2015

require 'nn'
require('cunn')

torch.setdefaulttensortype('torch.FloatTensor')
net = torch.load('../../models/home-A1l/model.net')
net_gpu = torch.load('../../models/home-A1l/model.net')
net_gpu:cuda()

culurciello

   local mask = function (inputImage, mask, th)
      local temp
      mask = mask[1]
      k = image.gaussian{size = 7, normalize = true}:float()
      mask = image.convolve(mask, k, 'same'):repeatTensor(3,1,1)
      temp = mask:gt(th):float():mul(.8):add(.2)

      return inputImage:clone():cmul(temp)
   end