ShichengChen commented on a change in pull request #524: SINGA-474
prelu,add,equal,selu,elu operator
URL: https://github.com/apache/incubator-singa/pull/524#discussion_r317383894
##########
File path: python/singa/autograd.py
##########
@@ -608,21 +608,177 @@ def backward(self, dy):
def reshape(a,shape):
return Reshape(shape)(a)[0]
+class PRelu(Operation):
+
+ def __init__(self):
+ super(PRelu, self).__init__()
+
+ def forward(self, x, slope):
+ mask0 = singa.LTFloat(x, 0.0)
+ if training:
+ self.input = x
+ self.slope = slope
+ self.mask0 = mask0
+ x1 = singa.__mul__(x, mask0)
+ x1 *= slope
+ x2 = singa.ReLU(x)
+ x1 += x2
+ return x1
+
+ def backward(self, dy):
+ dx1mask = singa.GEFloat(self.input, 0.0)
+ dx2 = singa.__mul__(self.mask0, self.slope)
+ dx = singa.__add__(dx1mask, dx2)
+ return singa.__mul__(dy, dx), singa.__mul__(dy,
+ singa.__mul__(
+ self.mask0,
self.input))
+
+
+def prelu(x, slope):
+ return PRelu()(x, slope)[0]
class Add(Operation):
def __init__(self):
super(Add, self).__init__()
def forward(self, a, b):
+ #up till now, the dimensions of tensor a and b should less than 3
+ self.shape0=list(a.shape())
+ self.shape1=list(b.shape())
+ assert(len(self.shape0) <= 2 and len(self.shape1) <= 2),"up till now,
the dimensions of tensor a and b should less than 3"
return singa.__add__(a, b)
def backward(self, dy):
- return dy, dy
+ if(type(dy)==float):return dy,dy
Review comment:
yes
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