TypeError: fit()在mxnet python中获得意外的关键字参数‘monitor

Question

当我运行示例/图像分类/trainmnist.py时，我被告知TypeError: fit() got an unexpected keyword argument 'monitor'。我没有在这个文件中做任何更改。我刚刚从github下载了最新版本。

example\image-classification>python train_mnist.py
INFO:root:start with arguments Namespace(batch_size=64, disp_batches=100, gpus=N
one, kv_store='device', load_epoch=None, lr=0.05, lr_factor=0.1, lr_step_epochs=
'10', model_prefix=None, mom=0.9, monitor=0, network='mlp', num_classes=10, num_
epochs=20, num_examples=60000, num_layers=None, optimizer='sgd', test_io=0, top_
k=0, wd=0.0001)
Traceback (most recent call last):
  File "train_mnist.py", line 76, in <module>
    fit.fit(args, sym, get_mnist_iter)
  File "D:\Zhenxingjian\MxNet\mxnet-0.9.3\mxnet-0.9.3\example\image-classificati
on\common\fit.py", line 183, in fit
    monitor            = monitor)
TypeError: fit() got an unexpected keyword argument 'monitor'

Answer 1

我能够在v09.3、v0.9.5和v0.10.0上成功运行train_mnist.py example。如果问题仍然存在，请签出最新版本，然后重试。