def call(self, inputs, mask=None):
#w_c=K.repeat(self.W_c,self.input_num)
#w_m=K.repeat(self.W_m,self.input_num)
x = inputs[0]
mem_vector = inputs[1]
c = K.dot(x, self.W_c) + self.b_c #context向量
m = K.dot(x, self.W_m) + self.b_m #memory向量
mem_vec = K.repeat(mem_vector, self.input_num) #与问题进行内积
m = K.sum(m * mem_vec, axis=2, keepdims=False)
s = K.softmax(m) #softmax
s = K.reshape(s, (-1, self.input_num, 1))
ctx = self.activation(c * s)
return ctx #self.activation(ctx)
def call(self,inputs,mask=None):
#w_c=K.repeat(self.W_c,self.input_num)
#w_m=K.repeat(self.W_m,self.input_num)
x=inputs[0]
mem_vector=inputs[1]
c=K.dot(x,self.W_c)+self.b_c #context向量
m=K.dot(x,self.W_m)+self.b_m #memory向量
mem_vec=K.repeat(mem_vector,self.input_num) #与问题进行内积
m=K.sum(m*mem_vec,axis=2,keepdims=False)
s=K.softmax(m) #softmax
s=K.reshape(s,(-1,self.input_num,1))
ctx=self.activation(c*s)
return ctx#self.activation(ctx)
def cosine(x1,x2):
return K.sum(x1*x2,axis=-1)/(K.sqrt(K.sum(x1*x1,axis=-1)*K.sum(x2*x2,axis=-1))+0.0000001) #cos