joddiy commented on a change in pull request #489: SINGA-474 selu operator
URL: https://github.com/apache/incubator-singa/pull/489#discussion_r309771204
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File path: python/singa/autograd.py
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@@ -357,6 +357,52 @@ def backward(self, dy):
def relu(x):
return ReLU()(x)[0]
+class SeLU(Operation):
+ def __init__(self,alpha=1.67326,gamma=1.0507):
+ super(SeLU, self).__init__()
+ self.alpha=alpha
+ self.gamma=gamma
+
+ def forward(self, x):
+ """Do forward propgation.
+ Store the x if x requires gradient.
+ Args:
+ x (CTensor): matrix
+ Returns:
+ a CTensor for the result
+ """
+ #y = gamma * (alpha * e^x - alpha) for x <= 0, y = gamma * x for x > 0
+ if training:
+ self.input = x
+ x1 = singa.LTFloat(x, 0.0)
+ x1 = singa.__mul__(x, x1)
+ x1 =
singa.MultFloat(singa.SubFloat(singa.MultFloat(singa.Exp(x1),self.alpha),self.alpha),self.gamma)
Review comment:
can optimize:
```
singa.MultFloat(singa.SubFloat(singa.Exp(x1), 1.0), self.alpha * self.gamma)
```
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