onnxruntime/orttraining
pengwa 516c8e95fa
Optimize SCE loss compute (#15401)
### Optimize SCE loss compute

Compute optimization based on label data sparsity:
- Insert ShrunkenGather before SCELoss node, to filter out invalid
labels for compute.
- Support ShrunkenGather upstream.
- Added test for the above.
- Added flag to enable label sparsity optimization with env var, by
default disabled now. Will enable after comprehensive benchmarking
later.
- Extract common logic into test_optimizer_utils.h/cc from
core/optimizer/compute_optimzier_test.cc, then the common functions can
be shared by both core/optimizer/compute_optimzier_test.cc and
orttraining/core/optimizer/compute_optimzier_test.cc
- Extract common logic into shared_utils.h/cc: `GetONNXOpSetVersion` and
`Create1DInitializerFromVector`


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2023-04-13 13:02:12 +08:00
..
orttraining Optimize SCE loss compute (#15401) 2023-04-13 13:02:12 +08:00
pytorch_frontend_examples Enable pylint and numpy rules (#15218) 2023-03-27 20:37:53 -07:00
tools Enable pylint and numpy rules (#15218) 2023-03-27 20:37:53 -07:00