ysh329 opened a new issue #7424: train_mnist.py failed: TypeError: __init__() 
got an unexpected keyword argument 'multi_precision'
URL: https://github.com/apache/incubator-mxnet/issues/7424
   Release 0.10.0 is okay.   
   However, Current master branch (git clone --recursive 
https://github.com/apache/incubator-mxnet.git) occurs this problem as below 
(running in the official docker, then I cloned from github.com and run this 
train_mnist.py) :   
python train_mnist.py
   INFO:root:start with arguments Namespace(add_stn=False, batch_size=64, 
disp_batches=100, dtype='float32', gpus=None, 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 91, in <module>
       eval_end_callback = eval_end_callbacks)
"/root/incubator-mxnet-origin/example/image-classification/common/fit.py", line 
207, in fit
       monitor            = monitor)
     File "/mxnet/python/mxnet/module/base_module.py", line 465, in fit
     File "/mxnet/python/mxnet/module/module.py", line 478, in init_optimizer
     File "/mxnet/python/mxnet/optimizer.py", line 128, in create_optimizer
       return Optimizer.opt_registry[name.lower()](**kwargs)
     File "/mxnet/python/mxnet/optimizer.py", line 328, in __init__
       super(SGD, self).__init__(**kwargs)
   TypeError: __init__() got an unexpected keyword argument 'multi_precision'
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