import numpy as np

import sys

import os

import cPickle

import logging

import theano

import argparse

import math

import os

import subprocess

from theano import tensor as T

from theano.sandbox.rng_mrg import MRG_RandomStreams

from theano.sandbox.cuda.basic_ops import gpu_contiguous

from blocks.bricks.conv import (Convolutional, ConvolutionalLayer, MaxPooling,

ConvolutionalActivation, ConvolutionalSequence)

from blocks.initialization import Constant, Uniform

from blocks.bricks import Linear, Rectifier, Softmax, Identity

from blocks.algorithms import GradientDescent, RMSProp, Scale, Momentum

from LeViRe.blocks.algorithms import AdaM

from blocks.filter import VariableFilter

from blocks.roles import PARAMETER, OUTPUT, INPUT, DROPOUT

from blocks.graph import ComputationGraph, apply_dropout

from blocks.extensions.monitoring import DataStreamMonitoring

from blocks.extensions import FinishAfter, Timing, Printing, ProgressBar

from blocks.main_loop import MainLoop

from blocks.model import Model

from blocks.select import Selector

from blocks.extensions.monitoring import TrainingDataMonitoring

#from blocks.extensions.plot import Plot

from blocks.extensions.saveload import Checkpoint

from blocks.theano_expressions import l2_norm

#from blocks.scripts import continue_training

from blocks.bricks.cost import CategoricalCrossEntropy

from fuel.streams import DataStream

from fuel.streams import ServerDataStream

from fuel.schemes import ShuffledScheme, SequentialScheme

from fuel.transformers import Mapping, ForceFloatX

from picklable_itertools.extras import equizip

from collections import OrderedDict

from LeViRe.fuel.datasets.hdf5jpeg import JpegHDF5Dataset

#from LeViRe.fuel.transformers.googlenet import GoogleNetTransformer

from LeViRe.fuel.transformers.flows_transformer import FlowHDF5Transformer

from LeViRe.fuel.transformers.frames_transformer import JpegHDF5Transformer

from LeViRe.fuel.utils import server

from LeViRe.fuel.scheme import HDF5ShuffledScheme, HDF5SeqScheme

from LeViRe.blocks.extensions.saveload import BestValidationDumpParams

from LeViRe.blocks.bricks import MLP, TensorMLP

from LeViRe.blocks.bricks.conv_lstm import ConvLSTMLayer, ConvGRULayer, ConvLSTMSequence, ConvGRUStack, ConvGRUStackBN

from sklearn_theano.feature_extraction.caffe.googlenet import create_theano_expressions as gnet_layer_exp

from sklearn_theano.feature_extraction.caffe.vgg_flows import create_theano_expressions as stream_layer_exp

from theano import config

logger = logging.getLogger(__name__)

def _is_nan(log):

return math.isnan(log.current_row['cross_entropy'])

class ModelTrain(object):

print "Misclass:", misclass

basic_params = {

}

if __name__ == "__main__":

# make sure results are reproducable!

np.random.seed(12345)

if len(sys.argv) < 1:

print sys.argv[0], "no weight_file"

exit(1)

#weight_file = sys.argv[1]

weight_file = None

model = ModelTrain(basic_params, False, weight_file)

#model.fit()