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too much white space when displaying validation summary #410

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FynnBe opened this issue Aug 14, 2024 · 0 comments
Open

too much white space when displaying validation summary #410

FynnBe opened this issue Aug 14, 2024 · 0 comments

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@FynnBe
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FynnBe commented Aug 14, 2024

$ bioimageio test impartial-shrimp

  ✔️                 bioimageio validation passed
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  source            https://uk1s3.embassy.ebi.ac.uk/public-datasets/bioimage.io/impartial-shrimp/1.1/files/rdf.yaml
  format version    model 0.5.3
  bioimageio.spec   0.5.3.2
  bioimageio.core   0.6.9



































































  ❓   location                    detail
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  ✔️                                initialized ModelDescr to describe model 0.5.3


  ✔️                                bioimageio.spec format validation model 0.5.3

  🔍   context.perform_io_checks   False
  🔍   context.warning_level       error

  ✔️                                Reproduce test outputs from test inputs (pytorch_state_dict)


  ✔️                                Run pytorch_state_dict inference for inputs with batch_size: 1 and size parameter n:

                                   0

  ✔️                                Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n:

                                   0

  ✔️                                Run pytorch_state_dict inference for inputs with batch_size: 1 and size parameter n:

                                   1

  ✔️                                Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n:

                                   1

  ✔️                                Run pytorch_state_dict inference for inputs with batch_size: 1 and size parameter n:

                                   2

  ✔️                                Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n:

                                   2

  ✔️                                Reproduce test outputs from test inputs (torchscript)


  ✔️                                Run torchscript inference for inputs with batch_size: 1 and size parameter n: 0


  ✔️                                Run torchscript inference for inputs with batch_size: 2 and size parameter n: 0


  ✔️                                Run torchscript inference for inputs with batch_size: 1 and size parameter n: 1


  ✔️                                Run torchscript inference for inputs with batch_size: 2 and size parameter n: 1


  ✔️                                Run torchscript inference for inputs with batch_size: 1 and size parameter n: 2


  ✔️                                Run torchscript inference for inputs with batch_size: 2 and size parameter n: 2
  
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