Summary: Support regression with output transform in MTML for feed.
Differential Revision: D6403523
fbshipit-source-id: faa0aab1227a27286b617e8e25adfbab3a349d2c
Summary:
To achive this, I modified the blob name scheme defined in a layer.
Before it was scope/fc_w and scope/fc_w_auto_0 (if there is another fc
within the same scope).
Now I change it to scope/fc/w and scope/fc_auto_0/w.
That is, we rely on the uniqueness of the scoped layer name to define
names for blobs.
I also overwrote the create_param method in LayerModelHelper to let it
use the resolved name for blobs given the sharingparameter context.
There are some details such as making the initializer more structured
that I need to finalize.
Reviewed By: kennyhorror
Differential Revision: D5435132
fbshipit-source-id: a0525f5ea0977e255dd5ea765b38913f5951d455
Summary: Current eval nets contain loss operators; see example: https://fburl.com/6otbe0n7, which is unnecessary. This diff is to remove them from the eval net.
Differential Revision: D4934589
fbshipit-source-id: 1ba96c20a3a7ef720414acb4124002fb54cabfc7
Summary: layer that takes a label, prediction pair and outputs the L2 loss
Reviewed By: kittipatv
Differential Revision: D4702111
fbshipit-source-id: 09f2ede44d1b548e61096de741f1b2aa0b66bbcb
