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Document 2.5.1 checkpoint and seed behavior #68

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Merged
sypsyp97 merged 1 commit into from
Nov 7, 2026
Merged

Document 2.5.1 checkpoint and seed behavior #68

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3 changes: 2 additions & 1 deletion diffct/geometry.py
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Expand Up @@ -251,7 +251,8 @@ def random_trajectory_3d(n_views, sid_mean, sdd_mean, sid_std=0.0, pos_std=0.0,
dtype : torch.dtype, optional
Data type for tensors (default: torch.float32).
seed : int, optional
Random seed for reproducibility (default: None).
Random seed for reproducibility (default: None). The noise comes from
a private generator, so the global PyTorch random state is unchanged.

Returns
-------
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3 changes: 3 additions & 0 deletions docs/EXECUTION.md
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Expand Up @@ -301,6 +301,9 @@ are checked for finite values in bounded blocks before creating the workspace
or writing the output; every rank agrees on admission before execution.

Checkpoint paths are `step-000002/rank-00000/metadata.json`, for example.
Saving never replaces a step: when the rank directory of a step already
exists, the solve raises a `ValueError` and leaves the saved checkpoint
unchanged. Use a new `checkpoint_directory` for a new solve.
Resume from the corresponding rank directory using `resume=...`; `iterations`
is the total target, including saved steps. Complete CGLS/SIRT/Adam state and
residual history are restored. Fingerprints bind the acquisition, measurements,
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