ND4J Back End
This extension provides various computational back ends, that can be used for numerical calculations. It includes settings for out-of-JVM memory usage, and provides simple tensor handling capabilities as currently needed by the Deep Learning and Image handling Extentions.
This extension provides various computational back ends, that can be used for numerical calculations. It includes settings for out-of-JVM memory usage, and provides simple tensor handling capabilities as currently needed by the Deep Learning and Image handling Extentions.
Currently supported back ends:
- CPU using OpenBlas (version
0.3.13-1.5.5)
- CPU using Intel's MKL (version: 2021.1-1.5.5,
external installation of MKL necessary)
- GPU using Nvidia's
CUDA (supported CUDA version: 11.2, supported cuDNN version: 8.1,
external installation of CUDA and optional cuDNN necessary)
This extension is based on the ND4J library in version DL4J-M1.1
Product Details
Version | 1.2.0 |
File size | 1.3 GB |
Downloads | 51394 (32 Today) |
Vendor | RapidMiner Labs |
Category | Libraries |
Released | 2/21/22 |
Last Update | 2/21/22 3:49 PM |
License | RM_EULA |
Product web site | www.rapidminer.com |
Rating | (0)
|
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