XJDKC edited a comment on pull request #697:
URL: https://github.com/apache/singa/pull/697#issuecomment-633031985
Now, users can define a new layer like this. (Just three functions)
```
class MyLayer(layer.Layer):
def __init__(self, a, b, c):
super(MyLayer, self).__init__()
self.l1 = layer.Linear(a,b)
self.l2 = layer.Linear(b,c)
# just need to specify names of params and states
self.param_names = ['W', 'b']
self.state_names = self.param_names + ['running_mean', 'running_var']
def initialize(self, x):
## init params, no need to enable the graph manually, the graph will
be enabled automatically
pass
def forward(self, x):
y = self.l1(x)
y = self.l2(y)
### other statements
return y
```
An example of the result of
get_params.([MyModel](https://github.com/apache/singa/blob/5f485c0d21b107a119792f4a676009dcfad0d50f/proof_of_concept_to_remove.py))
```bash
{'MyModel.l1.W': [[-0.38202214 -0.12201381]
[-0.304533 -0.9495602 ]
[ 0.16352855 -0.01871952]
[ 0.8286818 -0.35981584]],
'MyModel.l1.b': [0. 0.],
'MyModel.bn1.scale': [1. 1.],
'MyModel.bn1.bias': [0. 0.],
'MyModel.dl1.l1.W': [[ 0.11860882 -0.79534566 -0.22841209 0.17164443]
[-0.6173898 0.66481847 -0.2978943 0.30236784]],
'MyModel.dl1.l1.b': [0. 0. 0. 0.],
'MyModel.dl1.l2.W': [[ 0.4442746 -1.1191332 ]
[ 0.38644505 0.8065585 ]
[-0.06753294 -0.19837534]
[-0.20991991 0.18191515]],
'MyModel.dl1.l2.b': [0. 0.]}
```
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