Deploying from Azure ML studio Designer is giving error in deploying real time inference endpoint

shruti dahiya 1 Reputation point
2022-02-20T03:42:37.52+00:00

2022/02/20 03:25:31 Downloading source code...
2022/02/20 03:25:32 Finished downloading source code
2022/02/20 03:25:32 Creating Docker network: acb_default_network, driver: 'bridge'
2022/02/20 03:25:32 Successfully set up Docker network: acb_default_network
2022/02/20 03:25:32 Setting up Docker configuration...
2022/02/20 03:25:33 Successfully set up Docker configuration
2022/02/20 03:25:33 Logging in to registry: c89d3aeb8176436a9d4c29a07e6381fb.azurecr.io
2022/02/20 03:25:33 Successfully logged into c89d3aeb8176436a9d4c29a07e6381fb.azurecr.io
2022/02/20 03:25:33 Executing step ID: acb_step_0. Timeout(sec): 5400, Working directory: '', Network: 'acb_default_network'
2022/02/20 03:25:33 Scanning for dependencies...
2022/02/20 03:25:34 Successfully scanned dependencies
2022/02/20 03:25:34 Launching container with name: acb_step_0
Sending build context to Docker daemon 66.56kB

Step 1/21 : FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04@sha256:922be75bb02cf219cb86ac4734bcbda41d956314a4b3b7a4febc807d0a803f6e
mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04@sha256:922be75bb02cf219cb86ac4734bcbda41d956314a4b3b7a4febc807d0a803f6e: Pulling from azureml/openmpi3.1.2-ubuntu18.04
68e7bb398b9f: Already exists
893c92dab848: Pulling fs layer
a0757eae439e: Pulling fs layer
ee2957a13303: Pulling fs layer
f49a3daea774: Pulling fs layer
cab73971ce79: Pulling fs layer
c3d7fbfdaca2: Pulling fs layer
0976efdf0829: Pulling fs layer
d02e6f607e12: Pulling fs layer
f49a3daea774: Waiting
cab73971ce79: Waiting
c3d7fbfdaca2: Waiting
0976efdf0829: Waiting
d02e6f607e12: Waiting
ee2957a13303: Verifying Checksum
ee2957a13303: Download complete
f49a3daea774: Verifying Checksum
f49a3daea774: Download complete
cab73971ce79: Verifying Checksum
cab73971ce79: Download complete
c3d7fbfdaca2: Verifying Checksum
c3d7fbfdaca2: Download complete
0976efdf0829: Verifying Checksum
0976efdf0829: Download complete
893c92dab848: Verifying Checksum
893c92dab848: Download complete
d02e6f607e12: Verifying Checksum
d02e6f607e12: Download complete
a0757eae439e: Verifying Checksum
a0757eae439e: Download complete
893c92dab848: Pull complete
a0757eae439e: Pull complete
ee2957a13303: Pull complete
f49a3daea774: Pull complete
cab73971ce79: Pull complete
c3d7fbfdaca2: Pull complete
0976efdf0829: Pull complete
d02e6f607e12: Pull complete
Digest: sha256:922be75bb02cf219cb86ac4734bcbda41d956314a4b3b7a4febc807d0a803f6e
Status: Downloaded newer image for mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04@sha256:922be75bb02cf219cb86ac4734bcbda41d956314a4b3b7a4febc807d0a803f6e
---> 8926027fde41
Step 2/21 : USER root
---> Running in 0b57828c9289
Removing intermediate container 0b57828c9289
---> 370ef8ee2d0f
Step 3/21 : RUN mkdir -p $HOME/.cache
---> Running in 3eee95c47f9f
Removing intermediate container 3eee95c47f9f
---> 415459035e6d
Step 4/21 : WORKDIR /
---> Running in 08c6f83df4b1
Removing intermediate container 08c6f83df4b1
---> 4216bc82e697
Step 5/21 : COPY azureml-environment-setup/99brokenproxy /etc/apt/apt.conf.d/
---> 03b433a4a6b8
Step 6/21 : RUN if dpkg --compare-versions conda --version | grep -oE '[^ ]+$' lt 4.4.11; then conda install conda==4.4.11; fi
---> Running in a59290010c77
Removing intermediate container a59290010c77
---> 5bc601b6dd21
Step 7/21 : COPY azureml-environment-setup/mutated_conda_dependencies.yml azureml-environment-setup/mutated_conda_dependencies.yml
---> d43a193f0f3e
Step 8/21 : RUN ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_9a27d0b682f7325ef536eaeb801b2a62 -f azureml-environment-setup/mutated_conda_dependencies.yml && rm -rf "$HOME/.cache/pip" && conda clean -aqy && CONDA_ROOT_DIR=$(conda info --root) && rm -rf "$CONDA_ROOT_DIR/pkgs" && find "$CONDA_ROOT_DIR" -type d -name pycache -exec rm -rf {} + && ldconfig
---> Running in 6f1452f548f8
Collecting package metadata (repodata.json): ...working...
done
Solving environment: ...working... done

Downloading and Extracting Packages

libblas-3.9.0 | 12 KB | | 0%
libblas-3.9.0 | 12 KB | ########## | 100%

readline-7.0 | 391 KB | | 0%
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libopenblas-0.3.18 | 9.6 MB | | 0%
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python-3.6.8 | 30.1 MB | | 0%
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liblapack-3.9.0 | 12 KB | | 0%
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Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Installing pip dependencies: ...working...
Ran pip subprocess with arguments:
['/azureml-envs/azureml_9a27d0b682f7325ef536eaeb801b2a62/bin/python', '-m', 'pip', 'install', '-U', '-r', '/azureml-environment-setup/condaenv.s4sfl041.requirements.txt']
Pip subprocess output:
Collecting azureml-designer-classic-modules==0.0.161
Downloading azureml_designer_classic_modules-0.0.161-py3-none-any.whl (403 kB)
Collecting en_core_web_sm
Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.1.0/en_core_web_sm-2.1.0.tar.gz (11.1 MB)
Collecting spacy==2.1.7
Downloading spacy-2.1.7-cp36-cp36m-manylinux1_x86_64.whl (30.8 MB)
Collecting azureml-model-management-sdk
Downloading azureml_model_management_sdk-1.0.1b6.post1-py2.py3-none-any.whl (130 kB)
Collecting azure-storage-blob==1.5.0
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Collecting azureml-designer-internal==0.0.56
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Collecting nimbusml==1.6.1
Downloading nimbusml-1.6.1-cp36-none-manylinux1_x86_64.whl (105.2 MB)
Collecting matplotlib==3.1.3
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Collecting pandas==1.0.4
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Collecting Pillow==8.3.2
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Collecting azureml-interpret==1.36.0
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Requirement already satisfied, skipping upgrade: numpy>=1.15.0 in /azureml-envs/azureml_9a27d0b682f7325ef536eaeb801b2a62/lib/python3.6/site-packages (from spacy==2.1.7->-r /azureml-environment-setup/condaenv.s4sfl041.requirements.txt (line 3)) (1.19.5)
Collecting murmurhash<1.1.0,>=0.28.0
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Collecting cymem<2.1.0,>=2.0.2
Downloading cymem-2.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35 kB)
Collecting srsly<1.1.0,>=0.0.6
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Collecting requests<3.0.0,>=2.13.0
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Requirement already satisfied, skipping upgrade: six>=1.10 in /azureml-envs/azureml_9a27d0b682f7325ef536eaeb801b2a62/lib/python3.6/site-packages (from azureml-model-management-sdk->-r /azureml-environment-setup/condaenv.s4sfl041.requirements.txt (line 4)) (1.16.0)
Collecting adal>=0.4.5
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Collecting liac-arff>=2.1.1
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Collecting pytz>=2017.2
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Collecting azure-storage-common~=1.4
Downloading azure_storage_common-1.4.2-py2.py3-none-any.whl (47 kB)
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Collecting azureml-pipeline-core==1.36.0
Downloading azureml_pipeline_core-1.36.0-py3-none-any.whl (313 kB)
Collecting azureml-defaults==1.36.0
Downloading azureml_defaults-1.36.0-py3-none-any.whl (3.0 kB)
Collecting azureml-telemetry==1.36.0.*
Downloading azureml_telemetry-1.36.0-py3-none-any.whl (30 kB)
Collecting cffi==1.12.3
Downloading cffi-1.12.3-cp36-cp36m-manylinux1_x86_64.whl (430 kB)
Collecting azureml-designer-core==0.0.68
Downloading azureml_designer_core-0.0.68-py3-none-any.whl (101 kB)
Collecting smart-open>=1.8.1
Downloading smart_open-5.2.1-py3-none-any.whl (58 kB)
Requirement already satisfied, skipping upgrade: wheel in /azureml-envs/azureml_9a27d0b682f7325ef536eaeb801b2a62/lib/python3.6/site-packages (from lightgbm==3.2.1->azureml-designer-classic-modules==0.0.161->-r /azureml-environment-setup/condaenv.s4sfl041.requirements.txt (line 1)) (0.37.1)
Collecting dotnetcore2>=2.1.2
Downloading dotnetcore2-2.1.23-py3-none-manylinux1_x86_64.whl (29.3 MB)
Collecting kiwisolver>=1.0.1
Downloading kiwisolver-1.3.1-cp36-cp36m-manylinux1_x86_64.whl (1.1 MB)
Collecting cycler>=0.10
Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
Downloading pyparsing-3.0.7-py3-none-any.whl (98 kB)
Collecting interpret-community==0.21.*
Downloading interpret_community-0.21.0-py3-none-any.whl (136 kB)
Collecting azureml-core~=1.36.0
Downloading azureml_core-1.36.0.post2-py3-none-any.whl (2.4 MB)
Collecting certifi>=2017.4.17
Downloading certifi-2021.10.8-py2.py3-none-any.whl (149 kB)
Collecting idna<4,>=2.5; python_version >= "3"
Downloading idna-3.3-py3-none-any.whl (61 kB)
Collecting charset-normalizer~=2.0.0; python_version >= "3"
Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
Collecting urllib3<1.27,>=1.21.1
Downloading urllib3-1.26.8-py2.py3-none-any.whl (138 kB)
Collecting tqdm<5.0.0,>=4.10.0
Downloading tqdm-4.62.3-py2.py3-none-any.whl (76 kB)
Collecting PyJWT<3,>=1.0.0
Downloading PyJWT-2.3.0-py3-none-any.whl (16 kB)
Collecting cryptography>=1.1.0
Downloading cryptography-36.0.1-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)
Collecting configparser==3.7.4
Downloading configparser-3.7.4-py2.py3-none-any.whl (22 kB)
Collecting json-logging-py==0.2
Downloading json-logging-py-0.2.tar.gz (3.6 kB)
Collecting azureml-inference-server-http~=0.4.1
Downloading azureml_inference_server_http-0.4.9-py3-none-any.whl (52 kB)
Collecting azureml-dataset-runtime[fuse]~=1.36.0
Downloading azureml_dataset_runtime-1.36.0-py3-none-any.whl (3.5 kB)
Collecting applicationinsights
Downloading applicationinsights-0.11.10-py2.py3-none-any.whl (55 kB)
Collecting pycparser
Downloading pycparser-2.21-py2.py3-none-any.whl (118 kB)
Collecting pycryptodomex==3.7.3
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Collecting pyarrow==0.16.0
Downloading pyarrow-0.16.0-cp36-cp36m-manylinux2014_x86_64.whl (63.1 MB)
Collecting distro==1.4.0
Downloading distro-1.4.0-py2.py3-none-any.whl (17 kB)
Collecting ruamel.yaml==0.16.10
Downloading ruamel.yaml-0.16.10-py2.py3-none-any.whl (111 kB)
Collecting more-itertools==6.0.0
Downloading more_itertools-6.0.0-py3-none-any.whl (52 kB)
Collecting jsonschema==3.0.1
Downloading jsonschema-3.0.1-py2.py3-none-any.whl (54 kB)
Collecting interpret-core[required]<=0.2.6,>=0.1.20
Downloading interpret_core-0.2.6-py3-none-any.whl (6.5 MB)
Collecting packaging
Downloading packaging-21.3-py3-none-any.whl (40 kB)
Collecting shap<=0.39.0,>=0.20.0
Downloading shap-0.39.0.tar.gz (356 kB)
Collecting numba<0.54.0
Downloading numba-0.53.1-cp36-cp36m-manylinux2014_x86_64.whl (3.4 MB)
Collecting ndg-httpsclient<=0.5.1
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Collecting msrest<1.0.0,>=0.5.1
Downloading msrest-0.6.21-py2.py3-none-any.whl (85 kB)
Collecting azure-mgmt-containerregistry>=2.0.0
Downloading azure_mgmt_containerregistry-9.0.0-py3-none-any.whl (937 kB)
Collecting jsonpickle<3.0.0
Downloading jsonpickle-2.1.0-py2.py3-none-any.whl (38 kB)
Collecting SecretStorage<4.0.0
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Collecting azure-mgmt-keyvault<10.0.0,>=0.40.0
Downloading azure_mgmt_keyvault-9.3.0-py2.py3-none-any.whl (412 kB)
Collecting pathspec<1.0.0
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Collecting azure-mgmt-storage<16.0.0,>=1.5.0
Downloading azure_mgmt_storage-11.2.0-py2.py3-none-any.whl (547 kB)
Collecting contextlib2<22.0.0
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Collecting msrestazure<=0.6.4,>=0.4.33
Downloading msrestazure-0.6.4-py2.py3-none-any.whl (40 kB)
Collecting azure-mgmt-resource<15.0.0,>=1.2.1
Downloading azure_mgmt_resource-13.0.0-py2.py3-none-any.whl (1.3 MB)
Collecting pyopenssl<21.0.0
Downloading pyOpenSSL-20.0.1-py2.py3-none-any.whl (54 kB)
Collecting docker<6.0.0
Downloading docker-5.0.3-py2.py3-none-any.whl (146 kB)
Collecting azure-mgmt-authorization<1.0.0,>=0.40.0
Downloading azure_mgmt_authorization-0.61.0-py2.py3-none-any.whl (94 kB)
Collecting sanic-cors~=1.0.1
Downloading Sanic_Cors-1.0.1-py2.py3-none-any.whl (17 kB)
Collecting inference-schema~=1.3.1
Downloading inference_schema-1.3.1-py3-none-any.whl (20 kB)
Collecting protobuf~=3.17.3
Downloading protobuf-3.17.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB)
Collecting grpcio-tools~=1.38.1
Downloading grpcio_tools-1.38.1-cp36-cp36m-manylinux2014_x86_64.whl (2.5 MB)
Collecting aiohttp~=3.7.4.post0
Downloading aiohttp-3.7.4.post0-cp36-cp36m-manylinux2014_x86_64.whl (1.3 MB)
Collecting aiotask-context~=0.6.1
Downloading aiotask_context-0.6.1-py3-none-any.whl (3.5 kB)
Collecting opencensus-ext-azure~=1.1.0
Downloading opencensus_ext_azure-1.1.1-py2.py3-none-any.whl (42 kB)
Collecting gunicorn==20.1.0; platform_system != "Windows"
Downloading gunicorn-20.1.0-py3-none-any.whl (79 kB)
Collecting tritonclient[all]~=2.11.0
Downloading tritonclient-2.11.0-py3-none-manylinux1_x86_64.whl (7.7 MB)

failed
[91m

==> WARNING: A newer version of conda exists. <==
current version: 4.9.2
latest version: 4.11.0

Please update conda by running

$ conda update -n base -c defaults conda

Pip subprocess error:
ERROR: Could not find a version that satisfies the requirement sanic~=21.6.0 (from azureml-inference-server-http~=0.4.1->azureml-defaults==1.36.0->azureml-designer-internal==0.0.56->azureml-designer-classic-modules==0.0.161->-r /azureml-environment-setup/condaenv.s4sfl041.requirements.txt (line 1)) (from versions: 0.1.0, 0.1.1, 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.3.0, 0.3.1, 0.4.0, 0.4.1, 0.5.0, 0.5.1, 0.5.2, 0.5.4, 0.6.0, 0.7.0, 0.8.0, 0.8.1, 0.8.2, 0.8.3, 18.12.0, 19.3.1, 19.6.0, 19.6.2, 19.6.3, 19.9.0, 19.12.0, 19.12.2, 19.12.3, 19.12.4, 19.12.5, 20.3.0, 20.6.0, 20.6.1, 20.6.2, 20.6.3, 20.9.0, 20.9.1, 20.12.0, 20.12.1, 20.12.2, 20.12.3, 20.12.4, 20.12.5, 20.12.6)
ERROR: No matching distribution found for sanic~=21.6.0 (from azureml-inference-server-http~=0.4.1->azureml-defaults==1.36.0->azureml-designer-internal==0.0.56->azureml-designer-classic-modules==0.0.161->-r /azureml-environment-setup/condaenv.s4sfl041.requirements.txt (line 1))

CondaEnvException: Pip failed

[0mThe command '/bin/sh -c ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_9a27d0b682f7325ef536eaeb801b2a62 -f azureml-environment-setup/mutated_conda_dependencies.yml && rm -rf "$HOME/.cache/pip" && conda clean -aqy && CONDA_ROOT_DIR=$(conda info --root) && rm -rf "$CONDA_ROOT_DIR/pkgs" && find "$CONDA_ROOT_DIR" -type d -name pycache -exec rm -rf {} + && ldconfig' returned a non-zero code: 1
2022/02/20 03:27:17 Container failed during run: acb_step_0. No retries remaining.
failed to run step ID: acb_step_0: exit status 1

Run ID: cf6 failed after 1m47s. Error: failed during run, err: exit status 1

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  1. Ramr-msft 17,826 Reputation points
    2022-02-21T14:51:28.87+00:00

    @ shrutinehra-0489 Thanks for the question. Please share details of your experiment and issue from the ml.azure.com portal for a service engineer to lookup the issue from the back-end? This option is available from the top right hand corner of the portal by clicking the smiley face, Please select the option Microsoft can email you about the feedback along with a screen shot so our service team can lookup and advise through email.

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