colin
/
witnn
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Check if train kernel is benifit to pretrain.

This commit is contained in:
colin 2019-10-31 14:35:47 +08:00
parent 8a9acaa94e
commit c2e149fb68
1 changed files with 12 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
FilterEvaluator/TrainNetwork.py
View File

@ -44,7 +44,8 @@ batchsize = 128
# traindata, testdata = Loader.RandomMnist(batchsize, num_workers=4, style="Horizontal") # traindata, testdata = Loader.RandomMnist(batchsize, num_workers=4, style="Horizontal")
# traindata, testdata = Loader.RandomMnist(batchsize, num_workers=4, style="VerticalOneLine") # traindata, testdata = Loader.RandomMnist(batchsize, num_workers=4, style="VerticalOneLine")
# traindata, testdata = Loader.RandomMnist(batchsize, num_workers=4, style="VerticalZebra") # traindata, testdata = Loader.RandomMnist(batchsize, num_workers=4, style="VerticalZebra")
traindata, testdata = Loader.Cifar10Mono(batchsize, num_workers=4,shuffle=True,trainsize=500) # traindata, testdata = Loader.Cifar10Mono(batchsize, num_workers=4,shuffle=True,trainsize=500)
traindata, testdata = Loader.Cifar10Mono(batchsize, num_workers=4,shuffle=True,trainsize=0)
WebVisual.InitVisdom() WebVisual.InitVisdom()
@ -57,10 +58,10 @@ linePretrainTrain = WebVisual.Line(window, "PretrainTrain")
# model = utils.SetDevice(Model.Net3Grad335()) model = utils.SetDevice(Model.Net3Grad335())
# model = utils.LoadModel(model, CurrentPath+"/checkpointTrain.pkl") model = utils.LoadModel(model, CurrentPath+"/checkpointTrain.pkl")
# optimizer = optim.SGD(model.parameters(), lr=0.1) optimizer = optim.SGD(model.parameters(), lr=0.1)
# Train.TrainEpochs(model,traindata,optimizer,testdata,3000,30,linePretrainTrain) Train.TrainEpochs(model,traindata,optimizer,testdata,3000,30,linePretrainTrain)
model = utils.SetDevice(Model.Net3335()) model = utils.SetDevice(Model.Net3335())
@ -69,10 +70,12 @@ optimizer = optim.SGD(model.parameters(), lr=0.1)
Train.TrainEpochs(model,traindata,optimizer,testdata,3000,30,lineNoPre) Train.TrainEpochs(model,traindata,optimizer,testdata,3000,30,lineNoPre)
model = utils.SetDevice(Model.Net3Grad335()) # model = utils.SetDevice(Model.Net3Grad335())
model = utils.LoadModel(model, CurrentPath+"/checkpointSearch.pkl") # model = utils.LoadModel(model, CurrentPath+"/checkpointSearch.pkl")
optimizer = optim.SGD(model.parameters(), lr=0.1) # optimizer = optim.SGD(model.parameters(), lr=0.1)
Train.TrainEpochs(model,traindata,optimizer,testdata,3000,30,linePretrainSearch) # Train.TrainEpochs(model,traindata,optimizer,testdata,3000,30,linePretrainSearch)