feat: tensor type for protobuf deserialization#1645
Merged
Conversation
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
samsja
reviewed
Jun 13, 2023
samsja
left a comment
Member
There was a problem hiding this comment.
so what happened if I do to_profobuf with a TorchTensor in my doc_type ? It will be loaded as numpy tensor right ?
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Member
Author
yes, if not |
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
Signed-off-by: Johannes Messner <messnerjo@gmail.com>
|
📝 Docs are deployed on https://ft-feat-protobuf-tensor-type--jina-docs.netlify.app 🎉 |
samsja
approved these changes
Jun 14, 2023
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This allows
DocVocto be deserilzed to a specifictensor_type, i.e. torch, tf, or numpy:Note that the
tensor_typepassed tofrom_protobuf()does not need to match the tensor type from before serialization.Since all tensor are represented the same way in the proto, any proto can be deserialized to any tensor type.
TODO: