Changelog
All notable
changes to the project will be documented in this file.
The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.
For specific details see the FTorch online documentation.
Added
requires_grad
property hooked up to torch_tensor
in #288
- MPI example added in #270
- Changelog file and guidance for versioning added in #313
- A new tensor manipulation demo was introduced in #291.
- Backpropagation implemented with
torch_tensor_backward
and
torch_tensor_get_gradient
in #286
- Zeroing of gradients associated with a tensor implemented in
#341.
- Exposed
retain_graph
argument for torch_tensor_backward
in
#342.
- Implemented
torch_tensor_zero
and class method alias in
#338.
- Provided interface for
torch_tensor_from_array
with default layout in
#348.
Changed
- fortitude dependency version increased to 0.7.0
- Examples reordered to be more logical in #317
- scalar multiplication/division of tensors reworked to require the scalar to first be mapped to a
torch_tensor
in #289
- The unit tests for constructing and destroying tensors were separated out in
#319
- Demo numbers were bumped to account for new demo in
#291.
- Use interface for
torch_tensor_from_array
with default layout in tests and
examples in #348.
Removed
- Windows CI disabled until GitHub runner issues resolved in 50ea6d7
Patch Releases
1.0.0 - 2025-03-05
Added
- First release of FTorch accompanying pulication in JOSS
- MIT License
- Notable features of the library include:
- Representation of Torch tensors and models in Fortran
- Ability to run inference of Torch models from Fortran
- Early implementation of autograd features for Torch tensors in Fortran
- Comprehensive examples suite showcasing usage
- Testing suites:
- Unit, using pFUnit
- Integration, based on examples
- Code quality and static analysis checks
- Documentation:
- README.md and associated files in repository
- Online API and comprehensive docs build using FORD