【bug解决】类中函数方法的相互调取
Rachel MuZy · 收录于 2023-11-21 05:03:18 · source URL
目录
项目场景：
Python的类中函数方法如何实现相互调用
问题描述
import numpy as np
class SoftmaxWithLoss:
def __init__(self):
self.loss = None #损失
self.y = None #softmax的输出
self.t = None #监督数据
def softmax(a):
exp_a = np.exp(a)
sum_a = np.sum(exp_a)
soft = exp_a / sum_a
return soft
def cross_entropy_error(y, t):
delta = 1e-7
E = -np.sum(t * np.log(y + delta), axis = 1)
return E
def forward(self, x, t):
self.t = t
self.y = softmax(x)
self.loss = cross_entropy_error(self.y, self.t)
return self.loss
def backward(self, dout=1):
batch_size = self.t.shape[0]
dx = (self.y - self.t) / batch_size
return dx会出现两行报错：
如何解决该问题呢？
解决方案：
import numpy as np
class SoftmaxWithLoss:
def __init__(self):
self.loss = None #损失
self.y = None #softmax的输出
self.t = None #监督数据
def softmax(a):
exp_a = np.exp(a)
sum_a = np.sum(exp_a)
soft = exp_a / sum_a
return soft
def cross_entropy_error(y, t):
delta = 1e-7
E = -np.sum(t * np.log(y + delta), axis = 1)
return E
def forward(self, x, t):
self.t = t
self.y = SoftmaxWithLoss.softmax(x)
self.loss = SoftmaxWithLoss.cross_entropy_error(self.y, self.t)
return self.loss
def backward(self, dout=1):
batch_size = self.t.shape[0]
dx = (self.y - self.t) / batch_size
return dx
问题解决。