Main Site Links:

• Summary
• Packages
• Builds
• Tasks
• Tags
• Build Targets
• Users
• Hosts
• Reports
• Search
• API

Information for RPM python-torchdiffeq-0.2.5-3.fc42.src.rpm

ID	1518067
Name	python-torchdiffeq
Version	0.2.5
Release	3.fc42
Epoch
Arch	src
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.
Build Time	2025-01-18 20:18:02 GMT
Size	8.10 MB
SIGMD5	3ce3432450c5219dea9c68b0f5f90173
License	MIT
Provides	python3-torchdiffeq = 0.2.5-3.fc42
Obsoletes	No Obsoletes
Conflicts	No Conflicts
Requires	pyproject-rpm-macros python3-devel python3-devel python3dist(packaging) python3dist(pip) >= 19 python3dist(scipy) >= 1.4 python3dist(setuptools) >= 40.8 python3dist(torch) >= 1.5 rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(DynamicBuildRequires) <= 4.15.0-1 rpmlib(FileDigests) <= 4.6.0-1
Recommends	No Recommends
Suggests	No Suggests
Supplements	No Supplements
Enhances	No Enhances
Files	1 through 2 of 2 Name Size python-torchdiffeq.spec 2.66 KB torchdiffeq-a88aac5.tar.gz 8.08 MB
Component of	No Buildroots