Implementation of forward-/reverse-mode AD support for PyTorch#7

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Microno95 wants to merge 25 commits intomasterfrom

feature/pytorch-autodiff-ext

Commits on Apr 24, 2025

Implementation of forward-/reverse-mode AD support for PyTorch
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Commits on Nov 3, 2025

Cleans up many functions and fixes edge cases for differentiability
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Commits on Nov 17, 2025

Commits on Dec 4, 2025

Fix minor issue of data types in the numerical integration and add the ability to keep integration results despite errors
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Add a least-squares solver to reduce issues with non-square systems
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Fixes incorrect escaped character
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Adds support for updating the timestep according to the leading eigenvalue of a problem when it is available
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Add conugate gradient optimiser for the least-squares sub-problem of the nonlinear root-finding algorithms along with additional tests to measure the robustness of the included functionality.
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Adds estimation of the leading eigenvalue to implicit solvers for better time-stepping
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Fixed test cases and reduced dimensionality of shaped root-finding from 512 to 64 in total
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Fix issues with longdouble in eigenvalue estimation, the matrix is simply case to double precision
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Fix issue with mismatched tolerances between integration and the allclose assertion
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Added randomised ordering of tests to reduce chance of slow tests blocking parallel workers
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Removes unused imports, fixes lambda assignments and removes redundant assignments
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Commits on Dec 5, 2025

Commits on Feb 12, 2026