Information for build python-torchdiffeq-0.2.5-3.fc42
| ID | 103390 |
|---|---|
| Package Name | python-torchdiffeq |
| Links | Fedora Package Sources | Fedora Official Koji Buildsystem | Rocks RISC-V Koji Buildsystem | Fedora RISC-V GitHub | Old Koji Buildsystem |
| Version | 0.2.5 |
| Release | 3.fc42 |
| Epoch | Draft | False |
| Source | git+https://src.fedoraproject.org/rpms/python-torchdiffeq.git#4bb058ed484c80abf4a029ef13d0076bf6f780c0 |
| 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 | kojiadmin |
| State | failed |
| Volume | DEFAULT |
| Started | Wed, 05 Nov 2025 10:24:17 CST |
| Completed | Wed, 05 Nov 2025 10:24:18 CST |
| Task | build (f42-build-side-1, /rpms/python-torchdiffeq.git:4bb058ed484c80abf4a029ef13d0076bf6f780c0) |
| Extra | {'source': {'original_url': 'git+https://src.fedoraproject.org/rpms/python-torchdiffeq.git#4bb058ed484c80abf4a029ef13d0076bf6f780c0'}} |
| Tags | No tags |
| RPMs | No RPMs |
| 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 |