Test fixes

import numpy as np

from data import NumpyDataset

from nose.tools import assert_true

from unittest import TestCase

import deepchem as dc

from data.datasets import Databag

from deepchem.data import NumpyDataset

from deepchem.data.datasets import Databag

from deepchem.models.tensorgraph.layers import Dense, ReduceMean, SoftMax, SoftMaxCrossEntropy

from deepchem.models.tensorgraph.layers import Feature, Label

from deepchem.models.tensorgraph.layers import ReduceSquareDifference

  batch_norm2 = BatchNormLayer(in_layers=[gc2])

  gp2 = GraphPoolLayer(

      in_layers=[batch_norm2, degree_slice, membership] + deg_adjs)

  dense = Dense(

      out_channels=128, activation_fn=None, in_layers=[gp2])

  dense = Dense(out_channels=128, activation_fn=None, in_layers=[gp2])

  batch_norm3 = BatchNormLayer(in_layers=[dense])

  gg1 = GraphGather(

      batch_size=batch_size,

  costs = []

  labels = []

  for task in tasks:

    classification = Dense(

        out_channels=2,

        activation_fn=None,

        in_layers=[gg1])

    classification = Dense(out_channels=2, activation_fn=None, in_layers=[gg1])

    softmax = SoftMax(in_layers=[classification])

    model.add_output(softmax)