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Check Training/Inference values of each benchmark #17

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18 of 21 tasks
samueljackson92 opened this issue Mar 21, 2023 · 0 comments
Open
18 of 21 tasks

Check Training/Inference values of each benchmark #17

samueljackson92 opened this issue Mar 21, 2023 · 0 comments

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@samueljackson92
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samueljackson92 commented Mar 21, 2023

Each benchmark should produce metrics measuring quality (e.g. accuracy, loss, etc.) and time. From this we can compute time to metric etc. We need to collect the current state of these for each benchmark in the repo. Each of these should be collected into a documentation page.

  • mnist
    • training
    • inference
  • em_denoise
    • training
    • inference
  • dms_structure
    • training
    • inference
  • slstr_cloud
    • training
    • inference
  • optical_damage
    • training
    • inference
  • stemdl
    • training
    • inference
  • hydronet
    • training
    • inference
@samueljackson92 samueljackson92 changed the title Check Training/Inference values of each Benchmark Check Training/Inference values of each benchmark Mar 21, 2023
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