[Tensor] Update with scale factor support for quantized data types #2779
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This pull request aims to enhance the functionality of the Tensor class by enabling it to handle scale factors specifically designed for quantized data types. This patch ensures tensor class accurately represents and processes quantized data while maintaining original features. This update will provide developers with more flexibility when working with quantized models **Self-evaluation:** 1. Build test: [X]Passed [ ]Failed [ ]Skipped 2. Run test: [X]Passed [ ]Failed [ ]Skipped Signed-off-by: Donghyeon Jeong <[email protected]>
djeong20
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📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #2779. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://ci.nnstreamer.ai/. |
djeong20
commented
Oct 31, 2024
| @@ -568,7 +586,7 @@ class TensorBase { | |||
| * @brief Get size of current tensor | |||
| * @retval unsigned int size of the current tensor | |||
| */ | |||
| size_t size() const { return dim.getDataLen(); } | |||
| virtual size_t size() const { return dim.getDataLen(); } | |||
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size() is now a virtual function since it will be overridden by a quantized tensor that utilizes data packing.
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This pull request aims to enhance the functionality of the Tensor class by enabling it to handle scale factors specifically designed for quantized data types. This patch ensures tensor class accurately represents and processes quantized data while maintaining original features. This update will provide developers with more flexibility when working with quantized models
Self-evaluation: