d539ddfafb8e62fafa536a35fe21691047402445,encoding/functions/encoding.py,_scaledL2,backward,#_scaledL2#Any#,97

Before Change

        X, C, S, SL = self.saved_tensors
        K = C.size(0)
        with torch.cuda.device_of(X):
            gradX = X.new().resize_as_(X)
            gradC = X.new().resize_as_(C)
            gradS = X.new().resize_as_(S)
        if isinstance(X, torch.cuda.FloatTensor):
            with torch.cuda.device_of(X):

After Change

        X, C, S, SL = self.saved_variables
        K = C.size(0)
        with torch.cuda.device_of(X.data):
            gradX = Variable(X.data.new().resize_as_(X.data))
            gradC = Variable(X.data.new().resize_as_(C.data))
            gradS = Variable(X.data.new().resize_as_(S.data))
        if isinstance(X.data, torch.cuda.FloatTensor):
            with torch.cuda.device_of(X.data):

Instances