dcslin commented on pull request #697:
URL: https://github.com/apache/singa/pull/697#issuecomment-631276040


   > > TODO list compiled by @XJDKC with slight update:
   > > 
   > > * [x]   [rulin] 1. separate layers from autograd.py to form a new 
file(`layer.py`)
   > >   _Alias added in `autograd.py` for backward compatibility_
   > > * [x]   [rulin] 2. rename the Operation to Operator
   > > * [x]   [rulin] 3. create alias for Operator and Tensor
   > > * [x]   4. make Model(_renamed from module_) a subclass of Layer
   > > * [ ]   5. compile / do_init: separate the initialzation and forward 
propagation for each layers, create name of each layer
   > >   **Done for: Linear**
   > > * [x]   [rulin] 6. train_one_batch: with graph and without graph
   > > * [ ]   7. save_states/load_states/set_states: recursive logic」
                         TODO1: return flatten dict in each layers
                         TODO2: add params into states
             [ ] 8. give name (attribute) to `layers` in `model.compile`, and 
Tensor params `Tensor.name = "l1:W"`
               
   > 
   > added update
   
   


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