This is the Linux app named Petastorm whose latest release can be downloaded as Releasev0.12.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Petastorm
DESCRIPTION
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. Petastorm is an open-source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. Petastorm supports popular Python-based machine learning (ML) frameworks such as Tensorflow, PyTorch, and PySpark. It can also be used from pure Python code. A dataset created using Petastorm is stored in Apache Parquet format. On top of a Parquet schema, petastorm also stores higher-level schema information that makes multidimensional arrays into a native part of a petastorm dataset. Petastorm supports extensible data codecs. These enable a user to use one of the standard data compressions (jpeg, png) or implement her own.
Features
- Selective column readout
- Open source data access library
- Multiple parallelism strategies: thread, process, single-threaded (for debug)
- Plain Python API
- Row filtering (row predicates)
- Partitioning for multi-GPU training
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/petastorm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
