dcslin commented on pull request #697:
URL: https://github.com/apache/singa/pull/697#issuecomment-632459592
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
* [x] 5. compile / do_init: separate the initialzation and forward
propagation for each layers, create name of each layer
* [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~~
TODO3: save states to files, load from files
* [x] 8. give name (attribute) to `layers` in `model.compile`, and Tensor
params `Tensor.name = "l1:W"`
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