[Bug 2334218] New: Review Request: python-torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation

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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: nobody@xxxxxxxxxxxxxxxxx
          Reporter: Tom.Rix@xxxxxxx
        QA Contact: extras-qa@xxxxxxxxxxxxxxxxx
                CC: package-review@xxxxxxxxxxxxxxxxxxxxxxx
  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


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