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TensorStore download for Linux

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

This is the Linux app named TensorStore whose latest release can be downloaded as tensorstorev0.1.78sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named TensorStore with OnWorks for free.

请按照以下说明运行此应用程序:

- 1. 在您的 PC 中下载此应用程序。

- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。

- 3. 在这样的文件管理器中上传这个应用程序。

- 4. 从此网站启动OnWorks Linux online 或Windows online emulator 或MACOS online emulator。

- 5. 从您刚刚启动的 OnWorks Linux 操作系统,使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。

- 6. 下载应用程序,安装并运行。

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TensorStore


商品描述

TensorStore is a high-performance library for reading and writing N-dimensional arrays that live in many different storage systems, from local files to cloud object stores. It separates the logical view (shape, dtype, chunking) from the physical layout so the same code can target Zarr, N5, TIFF pyramids, or custom backends. Rich indexing, slicing, and broadcasting operations make it feel like a familiar array API, while asynchronous I/O pipelines stream chunks efficiently in parallel. Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. The library is engineered for scalability—background caching, chunk sharding, and retryable operations keep throughput high even over unreliable networks. With language bindings, it fits into Python-heavy analysis pipelines while retaining a fast C++ core.



功能

  • Uniform array API over many on-disk and cloud formats
  • Asynchronous, parallel chunked I/O with caching
  • Transactional reads and writes for atomic updates
  • Flexible indexing, slicing, and dtype conversions
  • Pluggable drivers for Zarr, N5, TIFF, and custom backends
  • C++ core with Python bindings for ML and science workflows


程式语言

C + +中


分类

图书馆

This is an application that can also be fetched from https://sourceforge.net/projects/tensorstore.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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