Refactor PSF model optimizer handling with configurable selection and optional TensorFlow Addons#180
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…local utils version
… with third-party license info
…d overrides handling
…erformance - Add `is_optimizer_instance` helper to detect if argument is a Keras optimizer instance - Ensure get_optimizer is called once per cycle and the instance is passed to build_PSF_model
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This PR addresses the issue of TensorFlow Addons functions (e.g. RectifiedAdam and interpolate_spline) being incompatible with the EDEN 3.1 (TF 2.11) environment by removing TFA as a required dependency and introducing a fully configurable optimizer selection system.
Closes #179
Key changes:
optimizer.pymodule withget_optimizerfunction to centralise optimizer creation.RecursiveNamespacefrom configs,dictof hyperparameters, or"Adam"or"rectified_adam").rectified_adamis defined in the config file.tf.keras.optimizers.legacy.Adamfor TF < 2.11 and standardAdamotherwise.build_PSF_modelto accept either a Keras optimizer instance or a config passed through get_optimizer.interpolation.pyandtypes.pymodules with copied code from the TFA repotfa.image.interpolate_splinewith local equivalent renamed totfa_interpolate_spline_rbftest_optimizer.py: covers legacy/non-legacy handling, RectifiedAdam import logic, overrides, and input normalization.test_interpolation.py: basic validation for the localtfa_interpolate_spline_rbfwrapper.