Moved more models

from deepchem.models.tensorgraph.models.symmetry_function_regression import BPSymmetryFunctionRegression, ANIRegression

from deepchem.models.scscore import ScScoreModel

from deepchem.models.tensorgraph.models.seqtoseq import SeqToSeq

from deepchem.models.tensorgraph.models.gan import GAN, WGAN

from deepchem.models.tensorgraph.models.text_cnn import TextCNNModel

from deepchem.models.seqtoseq import SeqToSeq

from deepchem.models.gan import GAN, WGAN

from deepchem.models.text_cnn import TextCNNModel

from deepchem.models.tensorgraph.sequential import Sequential

from deepchem.models.tensorgraph.models.sequence_dnn import SequenceDNN

from deepchem.models.tensorgraph.models.ontology import OntologyModel, OntologyNode, create_gene_ontology

#################### Compatibility imports for renamed TensorGraph models. Remove below with DeepChem 3.0. ####################

from deepchem.models.tensorgraph.models.text_cnn import TextCNNTensorGraph

from deepchem.models.text_cnn import TextCNNTensorGraph

from deepchem.models.graph_models import WeaveTensorGraph, DTNNTensorGraph, DAGTensorGraph, GraphConvTensorGraph, MPNNTensorGraph

import deepchem as dc

import deepchem.models.tensorgraph.layers as layers

from deepchem.data import NumpyDataset

from deepchem.models.tensorgraph.models.text_cnn import default_dict

from deepchem.models.text_cnn import default_dict

from scipy.io import loadmat

from flaky import flaky

import os

      tokens = tokens.union(set(c for c in s))

    tokens = sorted(list(tokens))

    max_length = max(len(s) for s in train_smiles) + 1

    s = dc.models.tensorgraph.models.seqtoseq.AspuruGuzikAutoEncoder(

    s = dc.models.seqtoseq.AspuruGuzikAutoEncoder(

        tokens, max_length)

    def generate_sequences(smiles, epochs):