VEDA PyTorch

These details have not been verified by PyPI

Project links

Download

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

VEDA PyTorch

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

Python Versions Maintenance

Release Notes

Version	Comment
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

Project details

These details have not been verified by PyPI

Project links

Download

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

2.2.2.post8

Mar 28, 2024

2.2.1.post8

Feb 23, 2024

2.2.0.post8

Jan 31, 2024

2.1.2.post8

Dec 15, 2023

2.1.1.post8

Nov 16, 2023

2.1.0.post8

Oct 5, 2023

2.0.1.post8

Oct 5, 2023

2.0.1.post7

May 15, 2023

2.0.0.post8

Oct 5, 2023

2.0.0.post7

Apr 28, 2023

1.13.1.post8

Oct 5, 2023

1.13.1.post7

Apr 28, 2023

1.13.0.post8

Oct 5, 2023

1.13.0.post7

Apr 28, 2023

1.12.1.post8

Oct 5, 2023

1.12.1.post7

Apr 28, 2023

1.12.1.post6

Oct 17, 2022

1.12.0.post8

Oct 5, 2023

1.12.0.post7

Apr 28, 2023

1.12.0.post6

Oct 17, 2022

1.11.0.post4

May 23, 2022

1.11.0.post3

Apr 22, 2022

1.10.2.post4

May 23, 2022

1.10.2.post3

Apr 22, 2022

1.10.2.post2

Apr 5, 2022

1.10.2.post1

Mar 23, 2022

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

veda_pytorch-2.2.2.post8-py3-none-manylinux_2_17_x86_64.whl (267.3 kB view hashes)

Uploaded Mar 28, 2024 Python 3 manylinux: glibc 2.17+ x86-64

Hashes for veda_pytorch-2.2.2.post8-py3-none-manylinux_2_17_x86_64.whl

Hashes for veda_pytorch-2.2.2.post8-py3-none-manylinux_2_17_x86_64.whl
Algorithm	Hash digest
SHA256	`0855efd3ac0cff73e1f53fc09510f157212a79622674382ae81296caf338eeef`
MD5	`60793f171b9f412669473ed29a38f5d8`
BLAKE2b-256	`edb5de509515b94107b11c230bfe6dc49a1fb787375f986ec40026cefc5b5c41`