hi!
I want to use L2 loss(SquaredL2Distance) in caffe2. But it doesn’t contain weight. for example, SoftmaxWithLoss contains weight
My aim is to set weight to be 0 to not train it
hi!
I want to use L2 loss(SquaredL2Distance) in caffe2. But it doesn’t contain weight. for example, SoftmaxWithLoss contains weight
Hello chuli,
I am also trying to use the SquaredL2Distance as the output layer of my CNN network. I tried the following attempts, however I got the mentioned errors:
# FIRST ATTEMPT. Error got: Tensor type mismatch, caller expects elements to be float while tensor contains double Error from operator
dist = model.net.SquaredL2Distance([label, fc9_], 'dist')
predictions = dist.AveragedLoss([], ['predictions'])
# SECOND ATTEMPT: Error got: Exception: Exception when creating gradient for [Cast] ... Argument 'from_type' of type int or string is required to get the gradient of CastOp .
label_float = model.Cast(label, None, to=core.DataType.FLOAT)
dist = model.net.SquaredL2Distance([label_float, fc9_], 'dist')
predictions = dist.AveragedLoss([], ['predictions'])
Any suggestions on how to use it properly?
I created also a ticket [Caffe2] SquaredL2Distance as output layer of CNN network. Error: Exception when creating gradient for [Cast] related to the L2 loss
Thanks for the suggestion!