Azure automl: Trying to deploy image segmentation model locally WSL2+Ubuntu-22.04
Ildar Boltunov
5
Reputation points
Trained the model. It looks like no errors.
But when I try to recreate conda environment using the generated conda.yaml file it fails. It looks like the problem is around recordclass==0.15.1 package. Tried to upgrtade/downgrade, install with pip etc. Nothing helps.
any help would be much appreciated appreciated
conda.yaml:
channels:
- conda-forge
- anaconda
dependencies:
- python=3.9.7
- pip:
- adal==1.2.7
- applicationinsights==0.11.10
- arch==5.3.1
- argcomplete==3.2.3
- asttokens==2.4.1
- attrs==23.2.0
- azure-common==1.1.28
- azure-core==1.30.1
- azure-graphrbac==0.61.1
- azure-identity==1.15.0
- azure-mgmt-authorization==4.0.0
- azure-mgmt-containerregistry==10.3.0
- azure-mgmt-core==1.4.0
- azure-mgmt-keyvault==10.3.0
- azure-mgmt-network==25.2.0
- azure-mgmt-resource==23.0.1
- azure-mgmt-storage==21.1.0
- azure-storage-blob==12.19.0
- azure-storage-queue==12.9.0
- azureml-automl-core==1.55.0.post2
- azureml-automl-dnn-vision==1.55.0.post1
- azureml-automl-runtime==1.55.0.post1
- azureml-core==1.55.0.post2
- azureml-dataprep==5.1.6
- azureml-dataprep-native==41.0.0
- azureml-dataprep-rslex==2.22.2
- azureml-dataset-runtime==1.55.0
- azureml-defaults==1.55.0
- azureml-inference-server-http==1.0.0
- azureml-interpret==1.55.0
- azureml-mlflow==1.55.0
- azureml-responsibleai==1.55.0
- azureml-telemetry==1.55.0
- azureml-train-automl-client==1.55.0
- azureml-train-automl-runtime==1.55.0.post1
- azureml-train-core==1.55.0
- azureml-train-restclients-hyperdrive==1.55.0
- azureml-training-tabular==1.55.0.post1
- backports-tempfile==1.0
- backports-weakref==1.0.post1
- bcrypt==4.1.2
- bokeh==2.4.3
- cachetools==5.3.3
- captum==0.5.0
- cffi==1.16.0
- colorcet==3.0.1
- coloredlogs==15.0.1
- contextlib2==21.6.0
- cryptography==42.0.5
- dask==2023.2.0
- dataclasses==0.6
- debugpy==1.8.1
- decorator==5.1.1
- dice-ml==0.11
- dill==0.3.8
- distributed==2023.2.0
- distro==1.9.0
- docker==7.0.0
- dotnetcore2==3.1.23
- econml==0.15.0
- entrypoints==0.4
- erroranalysis==0.5.3
- exceptiongroup==1.2.0
- executing==2.0.1
- fairlearn==0.7.0
- fire==0.6.0
- flask==2.2.5
- flask-cors==3.0.10
- flatbuffers==24.3.7
- fsspec==2024.2.0
- fusepy==3.0.1
- fvcore==0.1.5.post20221221
- gensim==4.3.2
- gitdb==4.0.11
- gitpython==3.1.42
- google-api-core==2.17.1
- google-auth==2.28.2
- googleapis-common-protos==1.63.0
- gunicorn==20.1.0
- humanfriendly==10.0
- imageio==2.34.0
- importlib-metadata==7.0.2
- inference-schema==1.7.1
- interpret-community==0.31.0
- interpret-core==0.5.0
- iopath==0.1.10
- ipykernel==6.8.0
- ipython==8.18.1
- isodate==0.6.1
- itsdangerous==2.1.2
- jedi==0.19.1
- jeepney==0.8.0
- jinja2==3.1.3
- jmespath==0.10.0
- jsonpickle==3.0.3
- jsonschema==4.21.1
- jsonschema-specifications==2023.12.1
- jupyter-client==7.4.9
- jupyter-core==5.7.2
- keras2onnx==1.6.0
- knack==0.11.0
- lightgbm==3.2.1
- locket==1.0.0
- markupsafe==2.1.2
- matplotlib==3.6.3
- matplotlib-inline==0.1.6
- ml-wrappers==0.5.5
- mlflow-skinny==2.11.1
- mpmath==1.3.0
- msal==1.27.0
- msal-extensions==1.1.0
- msgpack==1.0.8
- msrest==0.7.1
- msrestazure==0.6.4
- munch==4.0.0
- ndg-httpsclient==0.5.1
- nest-asyncio==1.6.0
- networkx==2.5
- nose==1.3.7
- nvidia-cublas-cu11==11.10.3.66
- nvidia-cuda-nvrtc-cu11==11.7.99
- nvidia-cuda-runtime-cu11==11.7.99
- nvidia-cudnn-cu11==8.5.0.96
- oauthlib==3.2.2
- onnx==1.14.1
- onnxconverter-common==1.13.0
- onnxmltools==1.11.2
- onnxruntime==1.14.1
- opencensus==0.11.4
- opencensus-context==0.1.3
- opencensus-ext-azure==1.1.13
- opencv-python-headless==4.4.0.46
- packaging==23.2
- param==2.0.2
- paramiko==3.4.0
- parso==0.8.3
- partd==1.4.1
- pathspec==0.12.1
- patsy==0.5.6
- pexpect==4.9.0
- pkginfo==1.10.0
- pmdarima==1.8.5
- portalocker==2.8.2
- pretrainedmodels==0.7.4
- prompt-toolkit==3.0.43
- property-cached==1.6.4
- protobuf==3.20.3
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pyarrow==14.0.2
- pyasn1==0.5.1
- pyasn1-modules==0.3.0
- pycparser==2.21
- pyct==0.5.0
- pydantic==1.10.14
- pygments==2.17.2
- pyjwt==2.8.0
- pynacl==1.5.0
- pynvml==8.0.4
- pyopenssl==24.1.0
- pytorch-ignite==0.4.13
- pywavelets==1.5.0
- pyyaml==6.0.1
- pyzmq==25.1.2
- raiutils==0.4.1
- referencing==0.33.0
- requests-oauthlib==1.4.0
- resnest==0.0.6b20210504
- responsibleai==0.33.0
- rpds-py==0.18.0
- rsa==4.9
- s3transfer==0.5.2
- saliency==0.1.3
- scikit-image==0.19.3
- secretstorage==3.3.3
- semver==2.13.0
- simplification==0.5.10
- skl2onnx==1.14.1
- sklearn-pandas==1.7.0
- smart-open==6.4.0
- smmap==5.0.1
- sortedcontainers==2.4.0
- sparse==0.15.1
- sqlparse==0.4.4
- stack-data==0.6.3
- statsmodels==0.13.5
- sympy==1.12
- tabulate==0.9.0
- tblib==3.0.0
- termcolor==2.4.0
- tifffile==2024.2.12
- timm==0.4.12
- toolz==0.12.1
- torch==1.13.1
- torchvision==0.14.1
- tornado==6.4
- traitlets==5.14.2
- typing-extensions==4.10.0
- urllib3==1.26.18
- wcwidth==0.2.13
- werkzeug==3.0.1
- wrapt==1.16.0
- yacs==0.1.8
- zict==3.0.0
- boto3=1.20.19
- botocore=1.23.19
- brotli=1.1.0
- brotli-bin=1.1.0
- brotli-python=1.1.0
- ca-certificates=2024.2.2
- certifi=2024.2.2
- charset-normalizer=3.3.2
- cloudpickle=2.2.1
- colorama=0.4.6
- contourpy=1.2.0
- cycler=0.12.1
- cython=3.0.9
- fonttools=4.49.0
- freetype=2.12.1
- idna=3.6
- importlib-resources=6.3.0
- importlib_resources=6.3.0
- joblib=1.2.0
- kiwisolver=1.4.5
- lcms2=2.16
- lerc=4.0.0
- libblas=3.9.0
- libbrotlicommon=1.1.0
- libbrotlidec=1.1.0
- libbrotlienc=1.1.0
- libcblas=3.9.0
- libdeflate=1.19
- libffi=3.3
- libgfortran-ng=13.2.0
- libgfortran5=13.2.0
- libjpeg-turbo=3.0.0
- liblapack=3.9.0
- libllvm11=11.1.0
- libopenblas=0.3.25
- libpng=1.6.43
- libsqlite=3.45.2
- libtiff=4.6.0
- libwebp-base=1.3.2
- libxcb=1.15
- libzlib=1.2.13
- llvmlite=0.39.1
- munkres=1.1.4
- numba=0.56.4
- numpy=1.23.5
- openjpeg=2.5.2
- pandas=1.3.5
- pillow=10.2.0
- pip=21.3.1
- platformdirs=4.2.0
- pooch=1.8.1
- psutil=5.8.0
- pthread-stubs=0.4
- pycocotools=2.0.6
- pyparsing=3.1.2
- pysocks=1.7.1
- python-dateutil=2.9.0
- python-tzdata=2024.1
- python_abi=3.9
- pytz=2024.1
- recordclass=0.15.1
- requests=2.31.0
- scikit-learn=1.1.3
- scipy=1.10.1
- setuptools=65.5.1
- six=1.16.0
- slicer=0.0.7
- tbb=2021.1.1
- threadpoolctl=3.3.0
- tqdm=4.66.2
- tzdata=2024a
- unicodedata2=15.1.0
- wheel=0.38.1
- xorg-libxau=1.0.11
- xorg-libxdmcp=1.1.3
- zipp=3.17.0
- zstd=1.5.5
name: project_environment
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