如何从链接器中保存的快照中恢复训练。我正尝试使用链接器通过以下github链接实现DCGAN：
https://github.com/chainer/chainer/blob/master/examples/dcgan/train_dcgan.py
当我尝试提供--resume参数时，它显示了网络中的形状不匹配错误。
在python代码中，有一个选项可以提供快照，我们需要从快照中恢复训练。这些快照会自动保存到结果文件夹中，这也是代码中的自变量，因此我试图从快照中恢复训练通过提供以下命令保存快照。
$ python train.py --resume 'snapshot.npz'
其中train.py是带有dcgan ciphar10数据集标签的修改后的代码。
我通过给出上面的命令得到的错误是：
chainer.utils.type_check.InvalidType:
Invalid operation is performed in: LinearFunction (Forward)
Expect: x.shape[1] == W.shape[1]
Actual: 110 != 100
当我使用以下命令运行python文件时，没有错误：
$ python train.py
完整的错误跟踪：
Exception in main training loop:
Invalid operation is performed in: LinearFunction (Forward)
Expect: x.shape[1] == W.shape[1]
Actual: 110 != 100
Traceback (most recent call last):
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/trainer.py, line 315, in run
update()
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py, line 165, in update
self.update_core()
File /home/964769/Lakshmi/DCGAN/updater_with_label.py, line 50, in update_core
x_fake = gen(z,labels)
File /home/964769/Lakshmi/DCGAN/net_with_label.py, line 61, in call
h = F.reshape(F.relu(self.bn0(self.l0(F.concat((z,t),axis=1)))),
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/link.py, line 242, in call
out = forward(args, *kwargs)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/links/connection/linear.py, line 138, in forward
return linear.linear(x, self.W, self.b, n_batch_axes=n_batch_axes)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 288, in linear
y, = LinearFunction().apply(args)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 245, in apply
self.check_data_type_forward(in_data)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 330, in check_data_type_forward
self.check_type_forward(in_type)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 27, in check_type_forward
x_type.shape[1] == w_type.shape[1],
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/typecheck.py, line 546, in expect
expr.expect()
File/home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/typecheck.py, line 483, in expect
'{0} {1} {2}'.format(left, self.inv, right))
Will finalize trainer extensions and updater before reraising the exception.
Traceback (most recent call last):
Filetrain.py, line 140, in
main()
Filetrain.py, line 135, in main
trainer.run()
File/home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/trainer.py, line 329, in run
six.reraise(sys.exc_info())
File /home/964769/anaconda3/lib/python3.6/site-packages/six.py, line 686, in reraise
raise value
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/trainer.py, line 315, in run
update()
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py, line 165, in update
self.update_core()
File /home/964769/Lakshmi/DCGAN/updater_with_label.py, line 50, in update_core
x_fake = gen(z,labels)
File /home/964769/Lakshmi/DCGAN/net_with_label.py, line 61, in call
h = F.reshape(F.relu(self.bn0(self.l0(F.concat((z,t),axis=1)))),
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/link.py, line 242, in call
out = forward(args, **kwargs)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/links/connection/linear.py, line 138, in forward
return linear.linear(x, self.W, self.b, n_batch_axes=n_batch_axes)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 288, in linear
y, = LinearFunction().apply(args)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 245, in apply
self.check_data_type_forward(in_data)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 330, in check_data_type_forward
self.check_type_forward(in_type)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 27, in checktype_forward
x_type.shape[1] == w_type.shape[1],
File "/home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/typecheck.py, line 546, in expect
expr.expect()
File/home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/type_check.py", line 483, in expect
'{0} {1} {2}'.format(left, self.inv, right))
chainer.utils.type_check.InvalidType:
Invalid operation is performed in: LinearFunction (Forward)
Expect: x.shape[1] == W.shape[1]
Actual: 110 != 100