rich7420 opened a new pull request, #779: URL: https://github.com/apache/mahout/pull/779
### Purpose of PR follow https://github.com/apache/mahout/issues/752#issuecomment-3702502564 This PR added support for reading TensorFlow TensorProto files (.pb) as input to QDP's quantum state preparation pipeline. Key Features: Supports Float64 tensors with 1D [n] or 2D [batch_size, feature_size] shapes Efficient parsing using prost for protobuf deserialization Zero-copy path for tensor_content when possible, with fallback to double_val Full integration with QdpEngine and Python bindings via encode_from_tensorflow() ### Related Issues or PRs <!-- Add links to related issues or PRs. --> <!-- - Closes #123 --> <!-- - Related to #123 --> Closes #728 , #729 ### Changes Made <!-- Please mark one with an "x" --> - [ ] Bug fix - [x] New feature - [ ] Refactoring - [ ] Documentation - [ ] Test - [ ] CI/CD pipeline - [ ] Other ### Breaking Changes <!-- Does this PR introduce a breaking change? --> - [ ] Yes - [x] No ### Checklist <!-- Please mark each item with an "x" when complete --> <!-- If not all items are complete, please open this as a **Draft PR**. Once all requirements are met, mark as ready for review. --> - [x] Added or updated unit tests for all changes - [ ] Added or updated documentation for all changes - [x] Successfully built and ran all unit tests or manual tests locally - [ ] PR title follows "MAHOUT-XXX: Brief Description" format (if related to an issue) - [ ] Code follows ASF guidelines -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
