Create C2 operator to replace values in embedding table (#22279)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22279
This new operator is used for embedding table weight re-init. After we get the evicted indices, they will be the rows need reseting in embedding table. Then we can create a 1d tensor with default values, and apply this operator to copy the tensor to all evicted rows in embedding table
Will add gradient op in next diff
Reviewed By: itomatik
Differential Revision: D15709866
fbshipit-source-id: 2297b70a7326591524d0be09c73a588da245cc08
