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Posted to issues@spark.apache.org by "Xiangrui Meng (Jira)" <ji...@apache.org> on 2020/05/20 17:44:00 UTC

[jira] [Created] (SPARK-31775) Support tensor type (TensorType) in Spark SQL/DataFrame

Xiangrui Meng created SPARK-31775:
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             Summary: Support tensor type (TensorType) in Spark SQL/DataFrame
                 Key: SPARK-31775
                 URL: https://issues.apache.org/jira/browse/SPARK-31775
             Project: Spark
          Issue Type: New Feature
          Components: ML, SQL
    Affects Versions: 3.1.0
            Reporter: Xiangrui Meng


More and more DS/ML workloads are dealing with tensors. For example, a decoded color image can be represented by a 3D tensor. It would be nice to natively support tensor type. A local tensor is essentially an array with shape info, stored together. Native support is better than user-defined type (UDT) because PyArrow does not support UDTs but it already supports tensors.



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