Core Compatibility Report: resourceful-lizard/v0
| 🟡 |
bioimageio format validation |
| status |
valid-format |
| source |
https://hypha.aicell.io/bioimage-io/artifacts/resourceful-lizard/files/rdf.yaml?version=v0 |
| id |
resourceful-lizard |
| version |
0.1.1 |
| applied format |
model 0.5.7 |
| bioimageio.spec |
0.5.7.4 |
|
Location |
Details |
| ✔️ |
|
Successfully created `ModelDescr` instance. |
| ✔️ |
|
bioimageio.spec format validation model 0.5.7 |
| ⚠ |
documentation |
No '# Validation' (sub)section found in doc.md. |
| ⚠ |
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 |
Created conda environment 'a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e' |
| ❌ |
weights.pytorch_state_dict |
Reproduce test outputs from test inputs (pytorch_state_dict) |
| ❌ |
weights.pytorch_state_dict |
/usr/share/miniconda/envs/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so: undefined symbol: iJIT_NotifyEvent |
|
|
See Traceback 1. |
|
weights.pytorch_state_dict |
recommended conda environment (Reproduce test outputs from test inputs (pytorch_state_dict)) |
|
|
See Recommended Conda Environment 1. |
|
weights.pytorch_state_dict |
conda compare (Reproduce test outputs from test inputs (pytorch_state_dict)) |
|
|
//github.com/facebookresearch/segment-anything.git not found |
Traceback 1
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ /usr/share/miniconda/envs/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/lib/p │
│ │
│ 832 │ │ test_input = get_test_input_sample(model) │
│ 833 │ │ expected = get_test_output_sample(model) │
│ 834 │ │ │
│ ❱ 835 │ │ with create_prediction_pipeline( │
│ 836 │ │ │ bioimageio_model=model, devices=devices, weight_format=weight_format │
│ 837 │ │ ) as prediction_pipeline: │
│ 838 │ │ │ results = prediction_pipeline.predict_sample_without_blocking(test_input) │
│ │
│ /usr/share/miniconda/envs/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/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/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/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/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/lib/p │
│ │
│ 107 │ │ │ if wf == "pytorch_state_dict": │
│ 108 │ │ │ │ assert weights.pytorch_state_dict is not None │
│ 109 │ │ │ │ try: │
│ ❱ 110 │ │ │ │ │ from .pytorch_backend import PytorchModelAdapter │
│ 111 │ │ │ │ │ │
│ 112 │ │ │ │ │ return PytorchModelAdapter( │
│ 113 │ │ │ │ │ │ model_description=model_description, devices=devices │
│ │
│ /usr/share/miniconda/envs/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/lib/p │
│ │
│ 5 from pathlib import Path │
│ 6 from typing import Any, List, Literal, Optional, Sequence, Union │
│ 7 │
│ ❱ 8 import torch │
│ 9 from loguru import logger │
│ 10 from numpy.typing import NDArray │
│ 11 from torch import nn │
│ │
│ /usr/share/miniconda/envs/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/lib/p │
│ │
│ 364 │ # See Note [Global dependencies] │
│ 365 │ if USE_GLOBAL_DEPS: │
│ 366 │ │ _load_global_deps() │
│ ❱ 367 │ from torch._C import * # noqa: F403 │
│ 368 │
│ 369 │
│ 370 class SymInt: │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
ImportError: /usr/share/miniconda/envs/a5da52dafabdde7cdd7c07143428e76b22eb95ad536a51113bc0628f90346b5e/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so: undefined symbol: iJIT_NotifyEvent
Recommended Conda Environment 1
%YAML 1.2
---
name: sam-encoder
channels:
- pytorch
- nvidia
- anaconda
- conda-forge
- nodefaults
dependencies:
- bioimageio.core
- cuda=11.8
- pip
- python=3.10
- pytorch
- setuptools
- torchvision
- pip:
- fsspec
- git+https://github.com/facebookresearch/segment-anything.git
- huggingface-hub
- matplotlib
- packaging
- safetensors
- timm
- tqdm