neurosim / dnn_neurosim_v1.1 Goto Github PK
View Code? Open in Web Editor NEWBenchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
Sorry to take your precious time to solve my problem.
This project is very practical and I am very interested in it. After reading your user manual, I found that the memory utilization of VGG16 is better than VGG8. I want to do a test based on imagenet.
Would you mind to open source VGG16 model? This will help me a lot.
Thanks so much!
Hello, thank you for doing such an excellent job.
I noticed that you mentioned resnet in your paper, can your framework support the simulation of resnet? I did not find the relevant code.
Hi,
In v1.1, the wrapper of Tensorflow doesn't exist.
Could we use Inference_tensorflow from v1.0 directly?
Or will you upload the folder Inference_tensorflow for v1.1 in the future?
Thanks!
Alan
Hello, thank you for doing such an excellent job.
I noticed that you mentioned resnet in your paper, can your framework support the simulation of resnet? I did not find the relevant code. I wonder how your framework support the skip connect structure in resnet.
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