Skip to content

Core Compatibility Report: self-disciplined-blowfish/v0¤

✔️ bioimageio format validation
status passed
source https://hypha.aicell.io/bioimage-io/artifacts/self-disciplined-blowfish/files/rdf.yaml?version=v0
id self-disciplined-blowfish
applied format model 0.5.9
bioimageio.spec 0.5.9.1
Location Details
✔️ Successfully created `ModelDescr` instance.
✔️ bioimageio.spec format validation model 0.5.9
⚠ documentation 
No '# Validation' (sub)section found in README.md.
✔️ weights.torchscript Created conda environment '5337c9602c7bddf436ffd2b7d541b6a00a82afd44b0968565fc1173fe7dd2d68'
✔️ weights.torchscript Reproduce test outputs from test inputs (torchscript)
ℹ weights.torchscript 
Output `prediction`: all elements agree with expected values. 
Max relative difference not accounted for by absolute tolerance (1.00e-03):
0.00e+00 (= \|3.31e+00 - 3.31e+00\|/\|3.31e+00 + 1e-6\|) at {'batch': np.int64(0), 'channel': np.int64(0), 'y': np.int64(0), 'x': np.int64(0)} 
Max absolute difference not accounted for by relative tolerance (1.00e-03):
0.00e+00 (= \|-1.5475182e-04 - -1.5312748e-04\|) at {'batch': np.int64(0), 'channel': np.int64(1), 'y': np.int64(576), 'x': np.int64(1003)}
weights.torchscript 
recommended conda environment (Reproduce test outputs from test inputs (torchscript))
 
%YAML 1.2
---
channels:
  - conda-forge
  - nodefaults
dependencies:
  - conda-forge::bioimageio.core>=0.9.4
  - pip
  - pytorch==2.5.1
  - torchvision==0.20.1
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: 1 and size parameter n: 1
✔️ weights.torchscript Run torchscript inference for inputs with batch_size: 1 and size parameter n: 2
✔️ weights.torchscript Run torchscript inference for inputs with batch_size: 2 and size parameter n: 0
✔️ weights.torchscript Run torchscript inference for inputs with batch_size: 2 and size parameter n: 1
✔️ weights.torchscript Run torchscript inference for inputs with batch_size: 2 and size parameter n: 2