There are too many bugs in the codes

[LinaZhang]

I cannot run the codes successfully. When using the default configuration "ConcatOp : Dimensions of inputs should match" appears. While when I changed model_type to others all failed. Even if model_type = mlp, it failed as follow:

Traceback (most recent call last):
File "./run_dnn.py", line 912, in
train(wnd_conf, args['model_ckpt'])
File "./run_dnn.py", line 154, in train
tower_train_logits = inf.inference(tower_batch_features, is_train=True)
File "/notebook/dmtfq/CIKM2020_DMT/DMT_code/model/inference_mlp.py", line 118, in inference
return self.model.inference(inputs,is_train,is_predict)
TypeError: inference() takes from 2 to 3 positional arguments but 4 were given

when I modify mlp inference() function parameters, it run next few steps but failed at last.

[Yuqi-Zhou]

I solve this bug by deleting some data about emb and attention_embed in conf/settings/conf, because there are some misssing data provided by the author.By the way, there are some bugs in ohter models like mmoe and mlp.