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一般来说，同一个操作，mxnet的ndarry和symbol都会有，分别对应动态图和静态图，比如reshape，可以调用 mx.nd.reshape，或者调用 mx.sym.reshape。下面对reshape这个操作进行解析，以mx.nd.reshape作为参考。reshape的注释reshape(data=None, shape=_Null, reverse=_Null, target_s...

预备知识，mxnet.ndarray的一些操作shape_arrayshape_array([[1,2,3,4], [5,6,7,8]]) = [2,4] # 获取ndarry的shape# Returns a 1D int64 array containing the shape of data.splitSplits an array along a particular axi...

mxnet symbol类定义：https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/symbol/symbol.pyclass Symbol(SymbolBase): """Symbol is symbolic graph of the mxnet.""" # disable dictionary ...

首先定义一个网络data = mx.sym.Variable('data')fc1 = mx.sym.FullyConnected(data=data, name='fc1', num_hidden=1000)act = mx.sym.Activation(data=fc1, act_type='relu',name='act')fc2 = mx.sym.FullyConnected(da...

Symbol API : https://mxnet.incubator.apache.org/api/python/symbol/symbol.htmlSymbolic Configuration and Execution in Pictures (一些symbol操作的图示)：https://mxnet.incubator.apache.org/versions/master/api/py...

xx-symbol.json # 模型结构的json文件方法一：将json文件导入，将网络结构保存为pdfimport mxnet as mxsymbol = mx.symbol.load(xx-symbol.json)mx.viz.plot_network(symbol,title='model',save_format='pdf',shape={'data':(1,3,224,224)...