python-torchdiffeq-0.2.5-3.fc42 | Build Info

Information for build python-torchdiffeq-0.2.5-3.fc42

351080

Package Name

python-torchdiffeq

Version

0.2.5

Release

3.fc42

Epoch

Summary

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation

Description

This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost. For usage of ODE solvers in deep learning applications. As the solvers are implemented in PyTorch, algorithms in this repository are fully supported to run on the GPU.

Built by

davidlt

State

complete

Volume

DEFAULT

Started

Fri, 21 Feb 2025 14:08:54 UTC

Completed

Fri, 21 Feb 2025 14:08:54 UTC

Tags

f42

RPMs

src
	python-torchdiffeq-0.2.5-3.fc42.src.rpm (info) (download)
noarch
	python3-torchdiffeq-0.2.5-3.fc42.noarch.rpm (info) (download)

Changelog

* Sat Jan 18 2025 Fedora Release Engineering <releng@fedoraproject.org> - 0.2.5-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_42_Mass_Rebuild * Mon Jan 06 2025 Tom Rix <Tom.Rix@amd.com> - 0.2.5-2 - Improve packaged docs * Sun Jan 05 2025 Tom Rix <Tom.Rix@amd.com> - 0.2.5-1 - Initial package

Main Site Links:

Information for build python-torchdiffeq-0.2.5-3.fc42