def __init__(self, modelType=None, numClass=None, numCell=None, maxLen=None, test=False):
if not test:
self.model = Models.getModel(modelType, numClass, numCell, maxLen).cuda()
self.criterion = nn.CrossEntropyLoss()
self.optimizer = torch.optim.Adam(self.model.parameters(), lr=0.0001)
else:
self.model = None
