利用乘法层(forward+backward)算法结合计算图(CG)求解反向求导应用题
实现购买2个苹果
输出结果
CG思路
实现代码
apple = 100
apple_num = 2
tax = 1.1
apple_price = mul_apple_layer.forward(apple, apple_num)
price = mul_tax_layer.forward(apple_price, tax)
dprice = 1
dapple_price, dtax = mul_tax_layer.backward(dprice)
dapple, dapple_num = mul_apple_layer.backward(dapple_price)
print('仅使用乘法层：购买2个苹果和消费税的例子')
print("price:", int(price))
print("dApple:", dapple)
print("dApple_num:", int(dapple_num))
print("dTax:", dtax)
利用加法层(forward+backward)算法结合计算图(CG)求解反向求导应用题
实现购买2个苹果和3个橘子的例子
输出结果
CG思路
实现代码
apple = 100
apple_num = 2
orange = 150
orange_num = 3
tax = 1.1
apple_price = mul_apple_layer.forward(apple, apple_num) # (1)
orange_price = mul_orange_layer.forward(orange, orange_num) # (2)
all_price = add_apple_orange_layer.forward(apple_price, orange_price) # (3)
price = mul_tax_layer.forward(all_price, tax) # (4)
dprice = 1
dall_price, dtax = mul_tax_layer.backward(dprice) # (4)
dapple_price, dorange_price = add_apple_orange_layer.backward(dall_price) # (3)
dorange, dorange_num = mul_orange_layer.backward(dorange_price) # (2)
dapple, dapple_num = mul_apple_layer.backward(dapple_price) # (1)
print('混合使用加法层和乘法层，实现购买2个苹果和3个橘子的例子')
print("price:", int(price))
print("dApple:", dapple)
print("dApple_num:", int(dapple_num))
print("dOrange:", dorange)
print("dOrange_num:", int(dorange_num))
print("dTax:", dtax)
