yapf

    inputs = self._get_input_tensors(in_layers, True)

    guess, label = inputs[0], inputs[1]

    out_tensor = tf.reduce_mean(

        tf.square(guess - label))

        tf.square(guess - label), axis=list(range(1, len(label.shape))))

    if set_tensors:

      self.out_tensor = out_tensor

    return out_tensor

import sys

sys.path.append("../../models")

from deepchem.models.tensorgraph.layers import Layer, Feature, Label, AtomicConvolution, L2Loss

from deepchem.models.tensorgraph.layers import Layer, Feature, Label, AtomicConvolution, L2Loss, ReduceMean

from deepchem.models import TensorGraph

import numpy as np

      ])

  label = Label(shape=(None, 1))

  loss = L2Loss(in_layers=[score, label])

  loss = ReduceMean(in_layers=L2Loss(in_layers=[score, label]))

  def feed_dict_generator(dataset, batch_size, epochs=1, pad_batches=True):