|
Location |
Details |
| ✔️ |
|
Successfully created `ModelDescr` instance. |
| ✔️ |
|
bioimageio.spec format validation model 0.5.9 |
| ⚠ |
inputs.0.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
inputs.1.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
inputs.2.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
inputs.3.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
inputs.4.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
inputs.5.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
outputs.0.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
outputs.1.sample_tensor |
Needs to be filled for FAIR compliance |
| ⚠ |
outputs.2.sample_tensor |
Needs to be filled for FAIR compliance |
| ✔️ |
weights.pytorch_state_dict |
Found existing conda environment '08f8ffa27c39c9aa97fede9155e0b8428e8e934a25bbb625c5d1dd8c912d76f5' |
| ✔️ |
weights.pytorch_state_dict |
Reproduce test outputs from test inputs (pytorch_state_dict) |
| ℹ |
weights.pytorch_state_dict |
Output `masks`: all elements agree with expected values.
Max relative difference not accounted for by absolute tolerance (1.00e-03):
0.00e+00 (= \|0.00e+00 - 0.00e+00\|/\|0.00e+00 + 1e-6\|) at {'batch': np.int64(0), 'object': 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 (= \|0.0000000e+00 - 0.0000000e+00\|) at {'batch': np.int64(0), 'object': np.int64(0), 'channel': np.int64(0), 'y': np.int64(0), 'x': np.int64(0)} |
| ℹ |
weights.pytorch_state_dict |
Output `scores`: all elements agree with expected values.
Max relative difference not accounted for by absolute tolerance (1.00e-03):
0.00e+00 (= \|9.50e-01 - 9.50e-01\|/\|9.50e-01 + 1e-6\|) at {'batch': np.int64(0), 'object': np.int64(0), 'channel': np.int64(0)}
Max absolute difference not accounted for by relative tolerance (1.00e-03):
0.00e+00 (= \|9.2370909e-01 - 9.2370898e-01\|) at {'batch': np.int64(0), 'object': np.int64(1), 'channel': np.int64(0)} |
| ℹ |
weights.pytorch_state_dict |
Output `embeddings`: all elements agree with expected values.
Max relative difference not accounted for by absolute tolerance (1.00e-03):
0.00e+00 (= \|1.11e-01 - 1.11e-01\|/\|1.11e-01 + 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 (= \|-5.8789738e-09 - -5.8789738e-09\|) at {'batch': np.int64(0), 'channel': np.int64(137), 'y': np.int64(33), 'x': np.int64(28)} |
|
weights.pytorch_state_dict |
recommended conda environment (Reproduce test outputs from test inputs (pytorch_state_dict)) |
|
|
%YAML 1.2
---
name: sam
channels:
- pytorch
- conda-forge
- nodefaults
dependencies:
- conda-forge::bioimageio.core>=0.9.4
- pip
- segment-anything
|
|
weights.pytorch_state_dict |
conda compare (Reproduce test outputs from test inputs (pytorch_state_dict)) |
|
|
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: 1 and size parameter n: 1 |
| ✔️ |
weights.pytorch_state_dict |
Run pytorch_state_dict inference for inputs with batch_size: 1 and size parameter n: 2 |
| ❌ |
weights.pytorch_state_dict |
Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n: 0 |
| ❌ |
weights.pytorch_state_dict |
|
|
|
|
| ❌ |
weights.pytorch_state_dict |
Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n: 1 |
| ❌ |
weights.pytorch_state_dict |
|
|
|
|
| ❌ |
weights.pytorch_state_dict |
Run pytorch_state_dict inference for inputs with batch_size: 2 and size parameter n: 2 |
| ❌ |
weights.pytorch_state_dict |
|
|
|
|