Skip to main content

Get Descriptions of Array Computations via Lazy Evaluation

Project description

Gitlab Build Status Github Build Status Python Package Index Release Page

Imagine TensorFlow, but aimed at HPC. Produces a data flow graph, where the edges carry arrays and the nodes are (give or take) static-control programs that compute array outputs from inputs, possibly (but not necessarily) expressed in Loopy. A core assumption is that the graph represents a computation that’s being repeated often enough that it is worthwhile to do expensive processing on it (code generation, fusion, OpenCL compilation, etc).

  • Documentation (read how things work, see an example)
  • Github (get latest source code, file bugs)

Pytato is licensed to you under the MIT/X Consortium license. See the documentation for further details.

Numpy compatibility

Pytato is written to pose no particular restrictions on the version of numpy used for execution. To use mypy-based type checking on Pytato itself or packages using Pytato, numpy 1.20 or newer is required, due to the typing-based changes to numpy in that release.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pytato, version 2021.2
Filename, size File type Python version Upload date Hashes
Filename, size pytato-2021.2.tar.gz (64.5 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page