学习李沐动手学深度学习过程中，发现无法显示动图，仅仅在输出栏显示以下内容：
解决方案：
1.“Ctrl+鼠标左键” 点击打开训练函数。以李沐老师的“softmax简洁实现”为例，先“Ctrl+鼠标左键”打开
d2l.train_ch3(net, train_iter, test_iter, loss, num_epochs, trainer)
中的train_ch3
2.找到“Animator”函数，
def train_ch3(net, train_iter, test_iter, loss, num_epochs, updater):
"""Train a model (defined in Chapter 3)."""
animator = Animator(xlabel='epoch', xlim=[1, num_epochs], ylim=[0.3, 0.9],
legend=['train loss', 'train acc', 'test acc'])
“Ctrl+鼠标左键”点击打开“Animator”类，将def add 改为：
def add(self, x, y):
# Add multiple data points into the figure
if not hasattr(y, "__len__"):
y = [y]
n = len(y)
if not hasattr(x, "__len__"):
x = [x] * n
if not self.X:
self.X = [[] for _ in range(n)]
if not self.Y:
self.Y = [[] for _ in range(n)]
for i, (a, b) in enumerate(zip(x, y)):
if a is not None and b is not None:
self.X[i].append(a)
self.Y[i].append(b)
self.axes[0].cla()
for x, y, fmt in zip(self.X, self.Y, self.fmts):
self.axes[0].plot(x, y, fmt)
self.config_axes()
display.display(self.fig)
plt.draw()
plt.pause(0.001)
display.clear_output(wait=True)
其实只是改了最后几行而已。修改的时候会问你是否修改，点击修改即可。
3.修改之后会一直显示动图，不想要这个修改的话把倒数第二、第三行注释掉就行：
self.config_axes()
display.display(self.fig)
# plt.draw()
# plt.pause(0.001)
display.clear_output(wait=True)
4.最后在训练代码末尾加上d2l.plt.show()
num_epochs = 10 d2l.train_ch3(net, train_iter, test_iter, loss, num_epochs, trainer) d2l.plt.show()
