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Location |
Details |
| ✔️ |
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Successfully created `ModelDescr` instance. |
| ✔️ |
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bioimageio.spec format validation model 0.5.6 |
| ⚠ |
documentation |
No '# Validation' (sub)section found in unet3d.md. |
| ⚠ |
weights |
Exactly one weights entry may not specify the `parent` field (got 2). That entry is considered the original set of model weights. Other weight formats are created through conversion of the orignal or already converted weights. They have to reference the weights format they were converted from as their `parent`. |
| ✔️ |
weights.pytorch_state_dict |
Reproduce test outputs from test inputs (pytorch_state_dict) |
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weights.pytorch_state_dict |
recommended conda environment (Reproduce test outputs from test inputs (pytorch_state_dict)) |
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%YAML 1.2
---
channels:
- pytorch
- conda-forge
- nodefaults
dependencies:
- conda-forge::bioimageio.core
- mkl ==2024.0.0
- numpy <2
- pip
- pytorch==1.12.1
- setuptools <70.0.0
- torchaudio==0.12.1
- torchvision==0.13.1
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weights.pytorch_state_dict |
conda compare (Reproduce test outputs from test inputs (pytorch_state_dict)) |
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Success. All the packages in the specification file are present in the environment with matching
version and build string. |
| ✔️ |
weights.pytorch_state_dict |
Run pytorch_state_dict inference for inputs with batch_size: 1 and size parameter n: 0 |
| ✔️ |
weights.pytorch_state_dict |
Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n: 0 |
| ✔️ |
weights.torchscript |
Reproduce test outputs from test inputs (torchscript) |
|
weights.torchscript |
recommended conda environment (Reproduce test outputs from test inputs (torchscript)) |
|
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%YAML 1.2
---
channels:
- pytorch
- conda-forge
- nodefaults
dependencies:
- conda-forge::bioimageio.core
- mkl ==2024.0.0
- numpy <2
- pip
- pytorch==1.13.0
- setuptools <70.0.0
- torchaudio==0.13.0
- torchvision==0.14.0
|
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weights.torchscript |
conda compare (Reproduce test outputs from test inputs (torchscript)) |
|
|
Success. All the packages in the specification file are present in the environment with matching
version and build string. |
| ✔️ |
weights.torchscript |
Run torchscript inference for inputs with batch_size: 1 and size parameter n: 0 |
| ✔️ |
weights.torchscript |
Run torchscript inference for inputs with batch_size: 2 and size parameter n: 0 |