Feature/padis-implementation - #193
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…of the 256x256 images used in the paper.
…ipts for 256x256 and 512x512 experiments, and tests.
…nstructs a model with exactly the same parameter count as the official implementation. Also added functionality to improve training cleanliness.
…ove speckle noise in some reconstructions.
…n via embeddings and attention, and added configurations for almost all experiments
…h size ablation experiment support.
…remly good match with slight divergence in backprop arrising from differing attention implementations, although the implementation is mathematically equivalent.
…reasing startup time for large dataset runs. Also fixed some slurm scripts.
…uce max storage usage, and cap the number of validation patches used.
… prevented torch imports. Also made all runs default to 400M patches, instead ending on 23.5h runtime. Also changed checkpoint and eval intervals for whole image runs to be more sensible given their slower progress, and fixed wandb on long training runs
…rought gcp and slurm verisons into parity
…ited_angle_120 to better reflect what they actually do. Kept back-compatibility through aliases.
…ers. This did not affect already generated examples.
…it version by default.
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Implemented PaDIS along with additional diffusive reconstructors used in the original work by Hu et al.
Also implemented an initial documentation framework, with the PaDIS-related features fully explained.
All features include thorough tests, and these are integrated with GitHub workflows.
The PaDIS experiment execution code is located inside scripts/paper_scripts.