Project-MONAI / Project-MONAI/model-zoo

Detect non-determinism for some cases on `maisi_ct_generative` bundle

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Python
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Description

I tested the following 4 cases:

  1. {'body_region': ['chest'], 'anatomy_list': ['aorta'], 'output_size': [256, 256, 128], 'spacing': [1, 1, 1], 'num_output_samples': 1}
  2. {'body_region': ['chest'], 'anatomy_list': ['left lung upper lobe'], 'output_size': [256, 256, 128], 'spacing': [1, 1, 1], 'num_output_samples': 1}
  3. {'body_region': ['abdomen'], 'anatomy_list': ['liver'], 'controllable_anatomy_size': [['hepatic tumor', 0.3], ['liver', 0.5]], 'output_size': [256, 256, 128], 'spacing': [1, 1, 1], 'num_output_samples': 1}
  4. {'body_region': ['abdomen'], 'anatomy_list': ['spleen'], 'output_size': [256, 256, 128], 'spacing': [1, 1, 1], 'num_output_samples': 1}

For each case, I run inference twice with random_seed = 0, and only case 3 produce same outputs.

Hi @dongyang0122 @guopengf @Can-Zhao , could you help to confirm this issue? Thanks!

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Research direction

Start by reproducing the four listed inference cases for the maisi_ct_generative bundle with random_seed = 0, running each case twice and comparing the outputs. Investigate why only case 3 is repeatable; this is complete when the nondeterministic behavior is explained and the affected cases have a verified resolution or documented limitation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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