sandeep-krishnamurthy opened a new pull request #13614: Make to_tensor to accept 1 or batch of images URL: https://github.com/apache/incubator-mxnet/pull/13614 ## Description ## With this change: - ToTensor transformation operator can take 3D (1 image) or 4D (batch of images) at once. - Also parallelized the operator with omp - This change will be required to fuse transformation pipeline with network graph during inference. - This is backward compatible change, this do not change any existing behavior. In another PR, I will work on to support list of 3D tensors (list of images) as input for different shape image tensors use case. ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [X] Changes are complete (i.e. I finished coding on this PR) - [X] All changes have test coverage: - Unit tests are added for small changes to verify correctness (e.g. adding a new operator) - Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore) - Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL) - [X] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html - [X] To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### - Support 3D or 4D input tensors to to_tensor transformation operator. @stu1130 @zhreshold @apeforest
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