Traceback (most recent call last):


 "cls_sin.py", line 36, in <module>

model = GPClassificationModel(train_x)


 "cls_sin.py", line 24, in __init__

super(GPClassificationModel, self).__init__(variational_strategy)


 "/home/pingjun/anaconda3/lib/python3.6/site-packages/gpytorch/models/variational_gp.py", line 15, in __init__

variational_distribution = CholeskyVariationalDistribution(train_input.size(0))


 "/home/pingjun/anaconda3/lib/python3.6/site-packages/gpytorch/module.py", line 293, in __getattr__

raise e


 "/home/pingjun/anaconda3/lib/python3.6/site-packages/gpytorch/module.py", line 288, in __getattr__

return super().__getattr__(name)


 "/home/pingjun/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 585, in __getattr__

type(self).__name__, name))
AttributeError: 'VariationalStrategy' object has no attribute 'size'

Traceback (most recent call last):


 "train.py", line 80, in <module>

args.lr_refactor_ratio, args.monitor, args.log_file)


 "/home/veilytech/DeepLearning2/mxnet-ssd/train/train_net.py", line 194, in train_net

net = importlib.import_module("symbol_" + net).get_symbol_train(imdb.num_classes)


 "/home/veilytech/DeepLearning2/mxnet-ssd/config/../symbol/symbol_vgg16_reduced.py", line 118, in get_symbol_train

clip=True, interm_layer=0)


 "/home/veilytech/DeepLearning2/mxnet-ssd/config/../symbol/common.py", line 111, in multibox_layer

from_layer = mx.symbol.Scale(data=from_layer, mode="spatial", \
AttributeError: 'module' object has no attribute 'Scale'
