adding slow attr to unit tests of unet and resnet

import numpy as np

import tensorflow as tf

import unittest

from nose.plugins.attrib import attr

from deepchem.models.tensorgraph.models import resnet50

from deepchem.models.tensorgraph import layers

class TestResNet50(unittest.TestCase):

  @attr('slow')

  def test_resnet50(self):

    resnet = deepchem.models.tensorgraph.models.resnet50.ResNet50(

        learning_rate=0.003,

import numpy as np

import tensorflow as tf

import unittest

from nose.plugins.attrib import attr

from deepchem.models.tensorgraph.models import unet

from deepchem.models.tensorgraph import layers

class TestUNet(unittest.TestCase):

  @attr('slow')

  def test_unet(self):

    unet2D = deepchem.models.tensorgraph.models.unet.UNet(

        learning_rate=0.003, img_rows=32, img_cols=32, model_dir='./unet/')