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Core Compatibility Report: chatty-cat/v0¤

✔️ bioimageio format validation
status passed
source https://hypha.aicell.io/bioimage-io/artifacts/chatty-cat/files/rdf.yaml?version=v0
id chatty-cat
version 0.1.0
applied format model 0.5.10
bioimageio.spec 0.5.10.2
Location Details
✔️ Successfully created `ModelDescr` instance.
✔️ bioimageio.spec format validation model 0.5.10
inputs.0.sample_tensor
Needs to be filled for FAIR compliance
outputs.0.sample_tensor
Needs to be filled for FAIR compliance
✔️ weights.pytorch_state_dict Found existing conda environment 'df87be09262b4f3f7ce399456dada4eaf2aa7e1ca18a46825f1ebf80ab4604e2'
✔️ weights.pytorch_state_dict Reproduce test outputs from test inputs (pytorch_state_dict)
weights.pytorch_state_dict
Output `output0`: all elements agree with expected values. 
Max relative difference not accounted for by absolute tolerance (1.00e-03):
0.00e+00 (= \|8.88e-05 - 8.88e-05\|/\|8.88e-05 + 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 (= \|3.0709146e-29 - 3.0134252e-29\|) at {'batch': np.int64(0), 'channel': np.int64(1), 'y': np.int64(174), 'x': np.int64(151)}
weights.pytorch_state_dict
recommended conda environment (Reproduce test outputs from test inputs (pytorch_state_dict))
%YAML 1.2
---
channels:
  - conda-forge
  - nodefaults
dependencies:
  - conda-forge::bioimageio.core>=0.9.4
  - pip
  - pytorch==2.4.0
  - torchvision==0.19.0
weights.pytorch_state_dict
conda compare (Reproduce test outputs from test inputs (pytorch_state_dict))
/usr/share/miniconda/lib/python3.13/site-packages/conda/env/env.py:288: FutureWarning: The
environment file is not fully CEP 24 compliant is deprecated and will be removed in 26.9. In the
future, this configuration will be rejected. Please fix the following errors in order to make
the configuration valid:    - Invalid type for 'name', expected a str   deprecated.topic(
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