Add more code comment？

[coolKeen]

@chenxin061 Nice Work！
I have some questions when reading the code in train_search.py.

1. What does 14 means in train_search.py? For example, in line 107 ('for i in range(14)').
2. What's the usage of num_to_keep and num_to_drop?
3. Could you please add more code comment in train_search.py? Especially the code (and corresponding function) from line 173 to line 262, which I think is relevant to your core contributions in the paper.
   Thank you very much!

[chenxin061]

@chenxin061 Nice Work！
I have some questions when reading the code in train_search.py.

1. What does 14 means in train_search.py? For example, in line 107 ('for i in range(14)').
2. What's the usage of num_to_keep and num_to_drop?
3. Could you please add more code comment in train_search.py? Especially the code (and corresponding function) from line 173 to line 262, which I think is relevant to your core contributions in the paper.
   Thank you very much!

Thanks for the suggestion.
We will add more comments to make this code more clear.
Here are some explanations.
1. There are 4 intermediate nodes in a cell, resulting in 2 + 3 + 4 + 5 = 14 edges. So 14 indicates the number of edges in a cell.
2. The num_to_keep is a list to set the number of operations to remain on each edge for each stage.
The num_to_drop is the number to discard.

[NdaAzr]

@chenxin061 could you please explain what AvgrageMeter() does in utils?

 objs = utils.AvgrageMeter()
  top1 = utils.AvgrageMeter()

Thanks in advance

[chenxin061]

@NdaAzr It is a counting tool broadly used in code for image classification. It logs the average/sum/count of the input signal.