Changed imports for optimizers

"""Monte Carlo tree search algorithm for reinforcement learning."""

from deepchem.models import TensorGraph

from deepchem.models.tensorgraph.optimizers import Adam

from deepchem.models.optimizers import Adam

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

import numpy as np

import tensorflow as tf

import deepchem as dc

from deepchem.models.tensorgraph.layers import Reshape, Variable, SoftMax, GRU, Dense

from deepchem.models.tensorgraph.optimizers import Adam, PolynomialDecay

from deepchem.models.optimizers import Adam, PolynomialDecay

import numpy as np

import tensorflow as tf

import unittest

import deepchem.rl.envs.tictactoe

from deepchem.models.tensorgraph.layers import Flatten, Dense, SoftMax, \

    BatchNorm, Squeeze

from deepchem.models.tensorgraph.optimizers import Adam

from deepchem.models.optimizers import Adam

class TicTacToePolicy(dc.rl.Policy):

"""Model-Agnostic Meta-Learning (MAML) algorithm for low data learning."""

from deepchem.models.tensorgraph.optimizers import Adam, GradientDescent

from deepchem.models.optimizers import Adam, GradientDescent

import numpy as np

import os

import shutil

from deepchem.data import NumpyDataset

from deepchem.models.losses import Loss

from deepchem.models.models import Model

from deepchem.models.tensorgraph.optimizers import Adam

from deepchem.models.optimizers import Adam

from deepchem.trans import undo_transforms

from deepchem.utils.evaluate import GeneratorEvaluator