The pros and cons of static and dynamic figure drawing

Static map built only once and then reuse it constantly, easy to do optimization on the map, more efficient map

Every establish the use of dynamic map, it is not easy to optimize

 

Static map can be serialized to disk, you can save the entire network can be overloaded, very practical deployment

FIG previous dynamic code duplication is required

Dynamic map compared to a static view of code more concise

In tensorflow static figure conditionals and loops requires a specific syntax, pytorch only python syntax can be achieved

pytorch for research, tensorflow and caffe, caffe2 for deploying applications

 

 

 

 

 

 

 

 

 

 

 

 

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