ysh329 commented on a change in pull request #7363: Add tensorboard configure 
into ./common/fit.py and ./train_mnist.py
URL: https://github.com/apache/incubator-mxnet/pull/7363#discussion_r131638833
 
 

 ##########
 File path: example/image-classification/train_mnist.py
 ##########
 @@ -75,5 +75,13 @@ def get_mnist_iter(args, kv):
     net = import_module('symbols.'+args.network)
     sym = net.get_symbol(**vars(args))
 
+    # tensorboard logs
+    train_log = 'logs/mnist/train'
+    eval_log = 'logs/mnist/eval'
+    batch_end_callbacks = 
[mx.contrib.tensorboard.LogMetricsCallback(train_log)]
 
 Review comment:
   @zihaolucky After `pip install tensorboard` in Docker, I found another 
problem :sob: 
   ```Shell
   
root@65ea267b5b52:~/incubator-mxnet-0.10.0.post2/example/image-classification# 
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 87, in <module>
       eval_end_callback = eval_end_callbacks)
     File 
"/root/incubator-mxnet-0.10.0.post2/example/image-classification/common/fit.py",
 line 197, in fit
       monitor            = monitor)
     File "/mxnet/python/mxnet/module/base_module.py", line 465, in fit
       optimizer_params=optimizer_params)
     File "/mxnet/python/mxnet/module/module.py", line 478, in init_optimizer
       **optimizer_params)
     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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