commit | a30b5b02747d98b1f513129d73a65a466a20261d | [log] [tgz] |
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author | Arnab Phani <phaniarnab@gmail.com> | Thu Apr 27 14:45:35 2023 +0200 |
committer | Arnab Phani <phaniarnab@gmail.com> | Thu Apr 27 15:43:32 2023 +0200 |
tree | 18b0c47d0a30c6892ae1b8980fb65a0f94dfebbf | |
parent | cb6f6b6b5ba8a1a74dea11a837f261a294a1a2b3 [diff] |
[SYSTEMDS-3525] Disable and add tests for binary inplace operations This patch adds a flag for the update inplace for binary operations. The flag is disabled by default. This patch also adds a test which exposes a bug of binary inplace. A binary inplace operation consuming another inplaced intermediate (e.g. right index) leads to corruption. We also disable binary inplace if lineage-based reuse is enabled to avoid corrupting the cached intermediates. Closes #1814
Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
Quick Start Install, Quick Start and Hello World
Documentation: SystemDS Documentation
Python Documentation Python SystemDS Documentation
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source