TNick

```
------------------------------------------------------------------------------------------------------------------------------------------------
 Index      Date & Time                       Tag                  Finish    Train    Total Batchs  Epchs  Exampls   Best result  Tests in file
------------------------------------------------------------------------------------------------------------------------------------------------

     0  2015 04 03 17:01:22            2015_04_03_17_01_22_157959  Big value detected
Apply node that caused the error: GpuElemwise{Sub}[(0, 0)](GpuElemwise{Add}[(0, 0)].0, GpuDimShuffle{0,x}.0)
Inputs types: [CudaNdarrayType(float32, matrix), CudaNdarrayType(float32, col)]
Inputs shapes: [(64, 13), (64, 1)]
Inputs strides: [(13, 1), (1, 0)]

TNick

Traceback Traceback (most recent call last):
  File "~/pylearn2/pylearn2/utils/serial.py", line 339, in _save
    pickle.dump(obj, f)
  File "~/anaconda/lib/python2.7/pickle.py", line 1370, in dump
    Pickler(file, protocol).dump(obj)
  File "~/anaconda/lib/python2.7/pickle.py", line 224, in dump
    self.save(obj)
  File "~/anaconda/lib/python2.7/pickle.py", line 331, in save
    self.save_reduce(obj=obj, *rv)
  File "~/anaconda/lib/python2.7/pickle.py", line 419, in save_reduce

TNick

import logging
import re
from theano.compile import Mode
import theano
import numpy as np
from pylearn2.models.dbm import flatten
from pylearn2.utils import contains_nan, contains_inf


logger = logging.getLogger(__name__)

TNick

ERROR (pylearn2.devtools.nan_guard): NaN detected
ERROR (pylearn2.devtools.nan_guard): In an input
ERROR (pylearn2.devtools.nan_guard): Inputs: 
ERROR (pylearn2.devtools.nan_guard): var
ERROR (pylearn2.devtools.nan_guard): <CudaNdarrayType(float32, vector)>
ERROR (pylearn2.devtools.nan_guard): A. <CudaNdarrayType(float32, vector)>
ERROR (pylearn2.devtools.nan_guard): val
ERROR (pylearn2.devtools.nan_guard): [<CudaNdarray object at 0x7ffbda33c9b0>]
ERROR (pylearn2.devtools.nan_guard): var
ERROR (pylearn2.devtools.nan_guard): Elemwise{Cast{int32}}.0

TNick

# -*- coding: utf-8 -*-
"""
This module allows tracing the calls of a running module by using
the `sys.settrace()` mechanism.

Usage
-----

The simplest usage is following:

TNick

# -*- coding: utf-8 -*-
"""
Example functions for live_monitoring module (+/- part of pylearn2).

The examples in this file will not work with the live_monitoring.py
in GitHub repository. Instead, they are intended to work with the version
temporary hosted at https://gist.github.com/ead6e553fc5395449d03.git

Two variants of getting the data are presented.
With request-reply variant only one instance can connect to

TNick

"""
Training extension for allowing querying of monitoring values while an
experiment executes.
"""
__authors__ = "Dustin Webb, Adam Stone"
__copyright__ = "Copyright 2010-2012, Universite de Montreal"
__credits__ = ["Dustin Webb,  Adam Stone"]
__license__ = "3-clause BSD"
__maintainer__ = "LISA Lab"
__email__ = "pylearn-dev@googlegroups"

TNick

#include <stdio.h>
#include <stdlib.h>
int main(void) {  
  int allocated_size = 10;
  int used_size = 0;
  char c, *input, *tmp_input;
  
  // allocate our buffer
  input = (char*)malloc(allocated_size);
  if (input == NULL) {

TNick

/*
 * Author:  Nicu Tofan
 * License: BSD
 *
 * See below for getRealTime() license.
 */


#include <cblas.h>

TNick

cmake_minimum_required(VERSION 2.8)
project(tinyxml)
 
include_directories(
    "${PROJECT_SOURCE_DIR}"
)
 
add_library (tinyxml
    tinystr.cpp
	tinyxml.cpp