In [4]:
from __future__ import division, print_function
import logging
import numpy as np
FORMAT = '[%(asctime)s] %(name)-15s %(message)s'
DATEFMT = "%H:%M:%S"
logging.basicConfig(format=FORMAT, datefmt=DATEFMT, level=logging.INFO)
import os
import theano
import theano.tensor as T
import fuel
import ipdb
import time
import cPickle as pickle
from argparse import ArgumentParser
from theano import tensor
from fuel.streams import DataStream
from fuel.schemes import SequentialScheme
from fuel.transformers import Flatten
from blocks.algorithms import GradientDescent, CompositeRule, StepClipping, RMSProp, Adam
from blocks.bricks import Tanh, Identity
from blocks.bricks.cost import BinaryCrossEntropy
from blocks.bricks.recurrent import SimpleRecurrent, LSTM
from blocks.initialization import Constant, IsotropicGaussian, Orthogonal
from blocks.filter import VariableFilter
from blocks.graph import ComputationGraph
from blocks.roles import PARAMETER
from blocks.monitoring import aggregation
from blocks.extensions import FinishAfter, Timing, Printing, ProgressBar
from blocks.extensions.saveload import Checkpoint
from blocks.extensions.monitoring import DataStreamMonitoring, TrainingDataMonitoring
from blocks.main_loop import MainLoop
from blocks.model import Model
try:
from blocks.extras import Plot
except ImportError:
pass
import draw.datasets as datasets
from draw.draw import *
from draw.samplecheckpoint import SampleCheckpoint
from draw.partsonlycheckpoint import PartsOnlyCheckpoint
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draw.
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