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TorchRec download for Linux

Free download TorchRec Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named TorchRec whose latest release can be downloaded as v0.5.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

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TorchRec


DESCRIPTION

TorchRec is a PyTorch domain library built to provide common sparsity & parallelism primitives needed for large-scale recommender systems (RecSys). It allows authors to train models with large embedding tables sharded across many GPUs. Parallelism primitives that enable easy authoring of large, performant multi-device/multi-node models using hybrid data-parallelism/model-parallelism. The TorchRec sharder can shard embedding tables with different sharding strategies including data-parallel, table-wise, row-wise, table-wise-row-wise, and column-wise sharding. The TorchRec planner can automatically generate optimized sharding plans for models. Pipelined training overlaps dataloading device transfer (copy to GPU), inter-device communications (input_dist), and computation (forward, backward) for increased performance. Optimized kernels for RecSys powered by FBGEMM. Quantization support for reduced precision training and inference. Common modules for RecSys.



Features

  • Built to provide common sparsity & parallelism primitives needed for large-scale recommender systems
  • The TorchRec planner can automatically generate optimized sharding plans for models
  • Torchrec requires Python >= 3.7 and CUDA >= 11.0
  • Experimental binary on Linux for Python 3.7, 3.8 and 3.9 can be installed via pip wheels
  • TorchRec is BSD licensed
  • Quantization support for reduced precision training and inference


Programming Language

Python


Categories

Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/torchrec.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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