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FTorch: a library for coupling PyTorch models to Fortran

Authors: Atkinson, Jack; Elafrou, Athena; Kasoar, Elliott; Wallwork, Joseph G.; Meltzer, Thomas; Clifford, Simon; Orchard, Dominic; +1 Authors

FTorch: a library for coupling PyTorch models to Fortran

Abstract

Version 1.2.0 - Online All Changes: https://github.com/Cambridge-ICCS/FTorch/compare/v1.1.0...v1.2.0 and in CHANGELOG What's Changed Allow for custom external gradients in torch_tensor_backward by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/528 Update intel versions in CI by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/567 Add optimisers by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/320 Test out differentiating through a model by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/486 Overhaul pt2ts by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/555 Unittest ftorch_utils Python module by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/563 Add optimizer deletion to the torch_delete interface by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/572 Update intel action in workflow and pin version. by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/573 Fix a number of broken links in the docs. by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/574 Fixes for Zizmor security alerts by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/575 Update Windows install docs by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/578 Allow pre-trained models with pt2ts by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/565 CMake: decouple unit/integration test selection by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/584 Fortran training example by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/581 CI fixes after merging online training by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/589 Add Flang test workflow by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/595 Ensure model output file is not None by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/608 Fix CI workflow issues for GNU, macOS, and Flang by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/603 fix(ci): switch Windows CPU CI to Ninja and fix Intel compiler environment by @jatkinson1000 with @Copilot in https://github.com/Cambridge-ICCS/FTorch/pull/611 Implement MSE loss function by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/591 Implement torch_model_save by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/587 Implement cross entropy loss by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/593 Add some clarification docs to Cross Entropy Loss. by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/612 Check for consistent device types when applying overloaded operators by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/614 Add installation for ftorch_loss.mod by @joewallwork in https://github.com/Cambridge-ICCS/FTorch/pull/616 Release v1.2.0 by @jatkinson1000 in https://github.com/Cambridge-ICCS/FTorch/pull/615 Full Changelog: https://github.com/Cambridge-ICCS/FTorch/compare/v1.1.0...v1.2.0

If you use this software, please cite our article in the Journal of Open Source Software.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average