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add googlenet results? #4
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+1. I think GoogleNet is still very well used in many cases. |
CaffeNet would be pretty easy to add since it can be loaded into torch with loadcaffe. GoogLeNet v1 is doable using soumith/inception.torch and v3 from Moodstocks/inception-v3.torch; I'm not aware of any Torch port of v2 or v4. I will try and add these benchmarks this weekend. |
@jcjohnson Have you had a chance to benchmark Inception v1 (GoogLeNet) and Inception v3? I'm looking forward to your results if/when they become available. Thanks |
@vimalthilak GoogleNet v1 is easy, but I ran into a snag with v3; they don't provide dumped weights and their weight-dumping script depends on TensorFlow; I opened an issue but haven't gotten a response (Moodstocks/inception-v3.torch#7). I wasted several hours trying to build TensorFlow from source to support CUDA 8.0 RC so I could use my Pascal Titan X, but couldn't get it to work and gave up. If someone can provide the dumped weights for GoogLeNet v3 then I can add both benchmarks tomorrow. |
@vimalthilak I've added Inception-v1 results. |
@jcjohnson |
Thank you very much for the results. Is there any plan to add results of gogglenet v1,v2,v3,v4? or even squeeze and caffenet (alexnet with lrn layer replaced)?
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