Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How can I use learningRates option in SGD? #114

Open
erogol opened this issue Jun 2, 2016 · 0 comments
Open

How can I use learningRates option in SGD? #114

erogol opened this issue Jun 2, 2016 · 0 comments

Comments

@erogol
Copy link

erogol commented Jun 2, 2016

I try to give a vector of lrs per layer but it does not work. Here is my code;

     local learningRates = {}
     local params, gradParams = model:parameters()
     print(params[1]:size())
     for i=1, #params do
       learningRates[i] =  opt.LR
     end
     print("setting LR")
     learningRates[#params] = opt.topLayerLR
    --  print(learningRates)
     learningRates = torch.Tensor(learningRates):reshape(#params,1)
ocal params, gradParams = model:parameters()
     print(params[1]:size())
     for i=1, #params do
       learningRates[i] =  opt.LR
     end
     print("setting LR")
     learningRates[#params] = opt.topLayerLR
    --  print(learningRates)
     learningRates = torch.Tensor(learningRates):reshape(#params,1)

Could you help me how to use learningRates in a propoer way?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant