Changes to add bfloat16 support for image rotation
@cantonios, Thanks for the review. I was not able to find a testcase in the framework, (that I could test and enable) for bfloat16. Do you want me to add a python testcase or C++ testcase for this?. If you can give me a reference testcase it will be great. I tried updating and running this testcase tensorflow/python/ops/image_ops_test.py (only forImageProjectiveTransformV2) . It fails for different versions of protobuf (latest : 4.23, and based on comments in failure: 3.19, 3.20).
 > @cantonios, Thanks for the review. I was not able to find a testcase in the framework, (that I could test and enable) for bfloat16. Do you want me to add a python testcase or C++ testcase for this?. If you can give me a reference testcase it will be great. I tried updating and running this testcase tensorflow/python/ops/image_ops_test.py (only forImageProjectiveTransformV2) . It fails for different versions of protobuf (latest : 4.23, and based on comments in failure: 3.19, 3.20).

Yes, modifying the existing `ImagProjectiveTransformV2` python test is fine.  I don't understand your comment about protobuf issues... the test is currently enabled, so should be passing.  It sounds like a configuration error on your end. Hi @jojivk73 Any update on this PR? Please. Thank you! Hi @gbaned  , Changes under internal review. Will upstream soon. Thanks This PR is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you. This PR was closed because it has been inactive for 14 days since being marked as stale. Please reopen if you'd like to work on this further.
This are changes to add bfloat16 to image rotation. When models are run in mixed bfloat16 precision, models that use image transformation would perform much better with image rotation in bfloat16.