Expected object of scalar type Long but got scalar type Float for argument #2 'target'

[amanpreets01]

I followed the concept given above ,
took the data,normalized ,split into train and test data and when training ,it says that it want type long but got float32

Any help would be appreciated

[jianlianggao]

You can try to add Variable().long()

[amanpreets01]

I tried everything .It toggles between float and long
When I change the datatype to long it asks float and vice versa i.e. when float then expects long.

I found the solution by the way
I just converted the nominal features into one_hot_encode and it worked