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Location |
Details |
| ✔️ |
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Successfully created `ModelDescr` instance. |
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bioimageio.spec format validation model 0.5.10 |
| ⚠ |
documentation |
No '# Validation' (sub)section found in README.md. |
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weights.torchscript |
Found existing conda environment '5337c9602c7bddf436ffd2b7d541b6a00a82afd44b0968565fc1173fe7dd2d68' |
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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 (= \|3.34e+00 - 3.34e+00\|/\|3.34e+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 (= \|1.2087636e-04 - 1.1050061e-04\|) at {'batch': np.int64(0), 'channel': np.int64(0), 'y': np.int64(594), 'x': np.int64(467)} |
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weights.torchscript |
recommended conda environment (Reproduce test outputs from test inputs (torchscript)) |
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%YAML 1.2
---
channels:
- conda-forge
- nodefaults
dependencies:
- conda-forge::bioimageio.core>=0.9.4
- pip
- pytorch==2.5.1
- torchvision==0.20.1
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weights.torchscript |
conda compare (Reproduce test outputs from test inputs (torchscript)) |
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/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. |
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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 |