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import mxnet as mx


    

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# Data Perpare 
mx.recordio.MXIndexedRecordIO
mx.recordio.IRHeader
mx.recordio.pack_img
mx.io.ImageRecordIter


    

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# Model definition 
mx.sym.Variable
mx.sym.Convolution
mx.sym.BatchNorm
mx.sym.Activation
mx.sym.LinearRegressionOutput
mx.sym.reshape
mx.sym.transpose 
mx.sym.split 
mx.sym.MakeLoss
mx.sym.Group
mx.sym.BlockGrad
# if sym is a symbol 
sym = mx.sym.Variable('someVar')
sym.get_internals
sym.list_arguments
sym.list_outputs


    

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# Model Training/Testing 
mx.model.load_checkpoint
# to bind mem to sym 
mx.mod.Module
# for metric 
mx.metric.create
# save a model 
mx.callback.do_checkpoint
# print speed and print metric 
mx.callback.Speedometer
# learning rate scheduler 
mx.lr_scheduler.FactorScheduler
# param init 
mx.init
# for monitor (debugging)
mx.mon.Monitor