[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.
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I see that the fully connected layer uses the bind() function to connect the weight data, but I don’t see a similar function for the convolutional layer（inference）. How is the weight data provided for the convolutional layer? #66
I tried to compile the complete vgg16 network to run on the simulator, but I didn’t see anything about the weights in the vgg16 branch either. I want to know how I should compile the vgg16 network, what is the format of the multi-dimensional weight TXT files, and how should I bind the weights to the compiler? Can you give me some help? Thank you very much!
I tried to compile the complete vgg16 network to run on the simulator, but I didn’t see anything about the weights in the vgg16 branch either. I want to know how I should compile the vgg16 network, what is the format of the multi-dimensional weight TXT files, and how should I bind the weights to the compiler? Can you give me some help? Thank you very much!