https://bugzilla.redhat.com/show_bug.cgi?id=2334218
Bug ID: 2334218
Summary: Review Request: python-torchdiffeq - Differentiable
ODE solvers with full GPU support and O(1)-memory
backpropagation
Product: Fedora
Version: rawhide
OS: Linux
Status: NEW
Component: Package Review
Severity: medium
Assignee: [email protected]
Reporter: [email protected]
QA Contact: [email protected]
CC: [email protected]
Target Milestone: ---
Classification: Fedora
Spec URL: https://trix.fedorapeople.org/python-torchdiffeq.spec
SRPM URL: https://trix.fedorapeople.org/python-torchdiffeq-0.2.5-1.fc42.src.rpm
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.
This is a build requires for ComfyUI
Reproducible: Always
--
You are receiving this mail because:
You are always notified about changes to this product and component
You are on the CC list for the bug.
https://bugzilla.redhat.com/show_bug.cgi?id=2334218
Report this comment as SPAM:
https://bugzilla.redhat.com/enter_bug.cgi?product=Bugzilla&format=report-spam&short_desc=Report%20of%20Bug%202334218%23c0
--
_______________________________________________
package-review mailing list -- [email protected]
To unsubscribe send an email to [email protected]
Fedora Code of Conduct:
https://docs.fedoraproject.org/en-US/project/code-of-conduct/
List Guidelines: https://fedoraproject.org/wiki/Mailing_list_guidelines
List Archives:
https://lists.fedoraproject.org/archives/list/[email protected]
Do not reply to spam, report it:
https://pagure.io/fedora-infrastructure/new_issue
