cambridge-iccs / fortran-tf-lib Goto Github PK
View Code? Open in Web Editor NEWA library for directly calling TensorFlow / Keras ML models from Fortran.
License: MIT License
A library for directly calling TensorFlow / Keras ML models from Fortran.
License: MIT License
It would be handy for conda users to be able to install from a channel.
Stretch goal: Add conda build to CI
Need to include some examples which replicate those from the PyTorch library. This will need to include some with Keras SavedModel which is the Torch Script equivalent.
Documentation can be duplicated from PyTorch library and placed in README. Needs some specific input from @SimonClifford on TensorFlow.
Running make install
installs the project to the current CMAKE_INSTALL_PREFIX
set of directories, however the generated
CMakeLists.txt
file does not correctly set up the project for subsequent use with find_package(FortranTensorFlow)
. What should be possible should be something like:
find_package(FortranTensorFlow)
target_link_libraries( foo FortranTensorFlow::fortran-tf)
where cmake will determine where the module files from the package. Currently this does not work, and the package does not set any include directories.
There does seem a bit of an asymmetry in the PyTorch examples where the C, C++ and Python examples take user arguments for the model file, but the Fortran has the model filename is hard-coded. It's not a big deal but maybe we should consider make the Fortran take command line arguments too?
This should include general user documentation rendered to readthedocs via Sphinx. There is also an option to include the API docs within this site (doxygen).
I suggest adding topics such as fortran
, tensorflow
, pytorch
, keras
, machine-learning
, interoperability
in the About section at https://github.com/Cambridge-ICCS/fortran-ml-bridge.
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