Core Compatibility Report: placid-llama/v0
| 🟡 |
bioimageio format validation |
| status |
valid-format |
| source |
https://hypha.aicell.io/bioimage-io/artifacts/placid-llama/files/rdf.yaml?version=v0 |
| id |
10.5281/zenodo.7261974/7782776 |
| format version |
model 0.4.10 |
| bioimageio.spec |
0.5.6.0 |
|
Location |
Details |
| ✔️ |
|
Successfully created `ModelDescr` instance. |
| ✔️ |
|
bioimageio.spec format validation model 0.4.10 |
| ⚠ |
name |
Name longer than 64 characters. |
| ❌ |
weights.keras_hdf5 |
Reproduce test outputs from test inputs (keras_hdf5) |
| ❌ |
weights.keras_hdf5 |
module 'keras.api._v2.keras.layers' has no attribute 'TFSMLayer' |
|
|
See Traceback 1. |
|
weights.keras_hdf5 |
recommended conda environment (Reproduce test outputs from test inputs (keras_hdf5)) |
|
|
%YAML 1.2
---
channels:
- conda-forge
- nodefaults
dependencies:
- bioimageio.core
- pip
- tensorflow ==2.11.0
|
|
weights.keras_hdf5 |
conda compare (Reproduce test outputs from test inputs (keras_hdf5)) |
|
|
Success. All the packages in the specification file are present in the environment with matching
version and build string. |
Traceback 1
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 139 │ │ │ ) │
│ 140 │ │ except Exception as e: │
│ 141 │ │ │ try: │
│ ❱ 142 │ │ │ │ self._network = tf.keras.layers.TFSMLayer( # pyright: ignore[reportAttrib │
│ 143 │ │ │ │ │ weight_file, call_endpoint="serving_default" │
│ 144 │ │ │ │ ) │
│ 145 │ │ │ except Exception as ee: │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: module 'keras.api._v2.keras.layers' has no attribute 'TFSMLayer'
During handling of the above exception, another exception occurred:
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 774 │ │ test_input = get_test_input_sample(model) │
│ 775 │ │ expected = get_test_output_sample(model) │
│ 776 │ │ │
│ ❱ 777 │ │ with create_prediction_pipeline( │
│ 778 │ │ │ bioimageio_model=model, devices=devices, weight_format=weight_format │
│ 779 │ │ ) as prediction_pipeline: │
│ 780 │ │ │ results = prediction_pipeline.predict_sample_without_blocking(test_input) │
│ │
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 368 │ │ │ f"deprecated create_prediction_pipeline kwargs: {set(deprecated_kwargs)}" │
│ 369 │ │ ) │
│ 370 │ │
│ ❱ 371 │ model_adapter = model_adapter or create_model_adapter( │
│ 372 │ │ model_description=bioimageio_model, │
│ 373 │ │ devices=devices, │
│ 374 │ │ weight_format_priority_order=weights_format and (weights_format,), │
│ │
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 166 │ │ assert errors │
│ 167 │ │ if len(weight_format_priority_order) == 1: │
│ 168 │ │ │ assert len(errors) == 1 │
│ ❱ 169 │ │ │ raise errors[0] │
│ 170 │ │ │
│ 171 │ │ else: │
│ 172 │ │ │ msg = ( │
│ │
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 155 │ │ │ │ │ except Exception: │
│ 156 │ │ │ │ │ │ from .tensorflow_backend import KerasModelAdapter │
│ 157 │ │ │ │ │ │
│ ❱ 158 │ │ │ │ │ return KerasModelAdapter( │
│ 159 │ │ │ │ │ │ model_description=model_description, devices=devices │
│ 160 │ │ │ │ │ ) │
│ 161 │ │ │ │ except Exception as e: │
│ │
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 146 │ │ │ │ logger.opt(exception=ee).info( │
│ 147 │ │ │ │ │ "keras.layers.TFSMLayer error for alternative call_endpoint='serving_d │
│ 148 │ │ │ │ ) │
│ ❱ 149 │ │ │ │ raise e │
│ 150 │ │
│ 151 │ def _forward_impl( # pyright: ignore[reportUnknownParameterType] │
│ 152 │ │ self, input_arrays: Sequence[Optional[NDArray[Any]]] │
│ │
│ /usr/share/miniconda/envs/2ad0e538313e48766b5028448ff211eb420bef29973543270a33249e51da7f67/lib/p │
│ │
│ 133 │ │ ) │
│ 134 │ │ │
│ 135 │ │ try: │
│ ❱ 136 │ │ │ self._network = tf.keras.layers.TFSMLayer( # pyright: ignore[reportAttributeA │
│ 137 │ │ │ │ weight_file, │
│ 138 │ │ │ │ call_endpoint="serve", │
│ 139 │ │ │ ) │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: module 'keras.api._v2.keras.layers' has no attribute 'TFSMLayer'