Summary:
There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports:
```2to3 -f future -w caffe2```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033
Reviewed By: seemethere
Differential Revision: D23808648
Pulled By: bugra
fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28265
Fix the difference in dper3 and dper2 when regressionLoss is used.
Test Plan:
test using dper2 model id f134632386
Comparison tool output before change:
```
FOUND OP DIFFERENT WITH DPER2!!!
OP is of type ExpandDims
OP inputs ['supervision:label']
OP outputs ['sparse_nn/regression_loss/mean_squared_error_loss/ExpandDims:0']
===============================
Finished all dper3 ops, number of good ops 11, bad ops 1, skipped 26
run_comparison for dper2 / dper3 nets running time: 0.0020143985748291016
result type: <class 'NoneType'> result: None
```
After change:
```
FOUND OP DIFFERENT WITH DPER2!!!
OP is of type ExpandDims
OP inputs ['sparse_nn_2/regression_loss_2/mean_squared_error_loss_8/Squeeze:0_grad']
OP outputs ['sparse_nn_2/over_arch_2/linear_2/FC_grad']
===============================
Finished all dper3 ops, number of good ops 19, bad ops 1, skipped 16
run_comparison for dper2 / dper3 nets running time: 0.0017991065979003906
result type: <class 'NoneType'> result: None
```
dper2 label part of net P111794577
dper3 label part of net after change P116817194
Reviewed By: kennyhorror
Differential Revision: D17795740
fbshipit-source-id: 9faf96f5140f5a1efdf2985820bda3ca400f61fa
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
