Skip to main content

VEDA PyTorch

VEDA PyTorch is a library to add device support for the NEC SX-Aurora TSUBASA into PyTorch.

Github PyPI License Python Versions Maintenance Maintenance

Release Notes

VersionComment
v13
  • Fixed torch.ve.set_device
  • Fixed allocation on wrong VE in multi-process execution
  • Improved error messages
  • Upgraded build script for PyTorch >=2.7!
v12
  • Added auto plugin loading for Pytorch. import veda.pytorch is no longer required with PyTorch >=2.5!
v11
  • Fixed shutdown problem in mixed GPU/VE use cases.
v10
  • Support for PyTorch v2.3.1
  • Support for SX-Aurora VE3
v9
  • Support for PyTorch v2.3.0
v8
  • Added torch.logical_not
v7
  • Support for PyTorch v2.0.0
  • Support for PyTorch v1.13.0
  • Added torch.log1p
v6
  • Support for PyTorch v1.12.0 and v1.12.1
v5
  • Added
    • torch.clamp
    • torch.clamp_max
    • torch.clamp_min
    • torch.exp
    • torch.log
    • torch.norm
    • torch.pow
    • torch.where
  • Fixed conversion from numeric value to bool
  • Fixed calling torch.ve.memory_allocated() without device id
  • Preventing 0-byte allocations from PyTorch to be passed on to VEDA
v4
  • fixed possible segfault in Tensor resize if no storage is initialized
  • fixed dtype handling in Scalar to Tensor operations
v3
  • added squeeze and unsqueeze handlers
v2
  • Minor changes to enable PyTorch v1.11.0
  • Fixed vedaInit error checking to ignore if already initialized
v1 Initial Release

Metadata

Release files for veda-pytorch 2.2.1.post13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for veda-pytorch 2.2.1.post13
File Interpreter ABI Platform
veda_pytorch-2.2.1.post13-py3-none-manylinux_2_17_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details

Release files / veda_pytorch-2.2.1.post13-py3-none-manylinux_2_17_x86_64.whl

Download URL veda_pytorch-2.2.1.post13-py3-none-manylinux_2_17_x86_64.whl
Size 266.4 kB
Tags Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum
How to use checksums
e07ac2f7ef0407aef5a07df123f69d8e00245e1591037310d935b06fba55b778
BLAKE2b-256 checksum
How to use checksums
c863de5893b8feeefd8876edf0bb36a08c22b2997803ff81f9f144c360bcf6a9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.3

Security for veda-pytorch 2.2.1.post13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page