azureml-sdk-for-r
azureml-sdk-for-r copied to clipboard
Published
20 hours ago •
Azure
Azure
`deploy_model` does not complete when the environment has a CRAN/GitHub package
Describe the bug
deploy_model does not complete when the environment has a CRAN/GitHub package.
To Reproduce
library(azuremlsdk)
get_current_run()
interactive_auth <- interactive_login_authentication(
force = TRUE,
tenant_id = <id>
)
ws <- load_workspace_from_config()
model <- register_model(ws,
model_path = "model.rds",
model_name = "iris_model",
description = "Predict an Iris flower type"
)
r_env <- r_environment(
name = "r_env",
github_packages = list(github_package("ropensci/ghql"))
)
inference_config <- inference_config(
entry_script = "score.r",
source_directory = ".",
environment = r_env
)
deployment_config <- aci_webservice_deployment_config(
cpu_cores = 1,
memory_gb = 1
)
local_deployment_config <- local_webservice_deployment_config()
service <- deploy_model(
ws,
"rservice-local",
list(model),
inference_config,
local_deployment_config
)
Expected behavior The model is deployed.
Log
> service <- deploy_model(
+ ws,
+ "rservice-local",
+ list(model),
+ inference_config,
+ local_deployment_config
+ )
Downloading model iris_model:11 to C:\Users\apricot\AppData\Local\Temp\azureml_fs2oovsv\iris_model\11
Generating Docker build context.
2021/03/16 18:23:35 Downloading source code...
2021/03/16 18:23:36 Finished downloading source code
2021/03/16 18:23:37 Creating Docker network: acb_default_network, driver: 'bridge'
2021/03/16 18:23:37 Successfully set up Docker network: acb_default_network
2021/03/16 18:23:37 Setting up Docker configuration...
2021/03/16 18:23:38 Successfully set up Docker configuration
2021/03/16 18:23:38 Logging in to registry: 177e8d3857024445bea26417e3c33c2c.azurecr.io
2021/03/16 18:23:39 Successfully logged into 177e8d3857024445bea26417e3c33c2c.azurecr.io
2021/03/16 18:23:39 Executing step ID: acb_step_0. Timeout(sec): 5400, Working directory: '', Network: 'acb_default_network'
2021/03/16 18:23:39 Scanning for dependencies...
2021/03/16 18:23:39 Successfully scanned dependencies
2021/03/16 18:23:39 Launching container with name: acb_step_0
Sending build context to Docker daemon 67.58kB
Step 1/30 : FROM mcr.microsoft.com/azureml/o16n-base/python-assets:latest AS inferencing-assets
latest: Pulling from azureml/o16n-base/python-assets
4c214b2e9432: Pulling fs layer
4c214b2e9432: Verifying Checksum
4c214b2e9432: Download complete
4c214b2e9432: Pull complete
Digest: sha256:dd6373d9d31b52869f58057a54a321d43d6adef416f03f98a578277287eda7e8
Status: Downloaded newer image for mcr.microsoft.com/azureml/o16n-base/python-assets:latest
---> 394986a72682
Step 2/30 : FROM mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04@sha256:8bc7ffc7142fb2914e40e8d64fed7bb89f7d087b670c0cb3168d241a5e908e98
sha256:8bc7ffc7142fb2914e40e8d64fed7bb89f7d087b670c0cb3168d241a5e908e98: Pulling from azureml/base
3386e6af03b0: Pulling fs layer
49ac0bbe6c8e: Pulling fs layer
d1983a67e104: Pulling fs layer
1a0f3a523f04: Pulling fs layer
682f5066db89: Pulling fs layer
f8e72cca56c5: Pulling fs layer
0fd03f8f74b9: Pulling fs layer
926adb528adb: Pulling fs layer
7161d6556851: Pulling fs layer
99339a70e7aa: Pulling fs layer
2bdbf3988b02: Pulling fs layer
1a0f3a523f04: Waiting
682f5066db89: Waiting
f8e72cca56c5: Waiting
0fd03f8f74b9: Waiting
926adb528adb: Waiting
7161d6556851: Waiting
99339a70e7aa: Waiting
2bdbf3988b02: Waiting
d1983a67e104: Verifying Checksum
d1983a67e104: Download complete
49ac0bbe6c8e: Verifying Checksum
49ac0bbe6c8e: Download complete
1a0f3a523f04: Verifying Checksum
1a0f3a523f04: Download complete
f8e72cca56c5: Verifying Checksum
f8e72cca56c5: Download complete
3386e6af03b0: Verifying Checksum
3386e6af03b0: Download complete
0fd03f8f74b9: Verifying Checksum
0fd03f8f74b9: Download complete
7161d6556851: Verifying Checksum
7161d6556851: Download complete
99339a70e7aa: Verifying Checksum
99339a70e7aa: Download complete
2bdbf3988b02: Verifying Checksum
2bdbf3988b02: Download complete
3386e6af03b0: Pull complete
49ac0bbe6c8e: Pull complete
d1983a67e104: Pull complete
1a0f3a523f04: Pull complete
926adb528adb: Verifying Checksum
926adb528adb: Download complete
682f5066db89: Download complete
682f5066db89: Pull complete
f8e72cca56c5: Pull complete
0fd03f8f74b9: Pull complete
926adb528adb: Pull complete
7161d6556851: Pull complete
99339a70e7aa: Pull complete
2bdbf3988b02: Pull complete
Digest: sha256:8bc7ffc7142fb2914e40e8d64fed7bb89f7d087b670c0cb3168d241a5e908e98
Status: Downloaded newer image for mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu16.04@sha256:8bc7ffc7142fb2914e40e8d64fed7bb89f7d087b670c0cb3168d241a5e908e98
---> 6ac3db102f47
Step 3/30 : USER root
---> Running in 5647ffb297d6
Removing intermediate container 5647ffb297d6
---> 428002d3fc1e
Step 4/30 : RUN mkdir -p $HOME/.cache
---> Running in 9214e46e1458
Removing intermediate container 9214e46e1458
---> 83c9f59fd6b1
Step 5/30 : WORKDIR /
---> Running in df86876e3ed5
Removing intermediate container df86876e3ed5
---> d7d3f2b9bf2d
Step 6/30 : COPY azureml-environment-setup/99brokenproxy /etc/apt/apt.conf.d/
---> 93219fbfa2e8
Step 7/30 : RUN true
---> Running in b6b9bb4c2fc6
Removing intermediate container b6b9bb4c2fc6
---> 2959ed49d2e6
Step 8/30 : COPY --from=inferencing-assets /artifacts /var/
---> 26c45a28f8ce
Step 9/30 : RUN /var/requirements/install_system_requirements.sh
---> Running in 365e9cf93694
Get:1 http://security.ubuntu.com/ubuntu xenial-security InRelease [109 kB]
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Reading package lists...
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
python3-software-properties
The following NEW packages will be installed:
software-properties-common
The following packages will be upgraded:
python3-software-properties
1 upgraded, 1 newly installed, 0 to remove and 89 not upgraded.
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debconf: delaying package configuration, since apt-utils is not installed
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Selecting previously unselected package software-properties-common.
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Processing triggers for dbus (1.10.6-1ubuntu3.5) ...
Setting up python3-software-properties (0.96.20.10) ...
Setting up software-properties-common (0.96.20.10) ...
Processing triggers for dbus (1.10.6-1ubuntu3.5) ...
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gpg: keyring `/tmp/tmpi6hgjufi/pubring.gpg' created
gpg: requesting key 5234BF2B from hkp server keyserver.ubuntu.com
gpg: /tmp/tmpi6hgjufi/trustdb.gpg: trustdb created
gpg: key 5234BF2B: public key "Launchpad PPA for Adiscon" imported
gpg: Total number processed: 1
gpg: imported: 1 (RSA: 1)
OK
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
dh-python distro-info-data file gir1.2-glib-2.0 iso-codes libapt-inst2.0
libdbus-glib-1-2 libgirepository-1.0-1 libmagic1 libmpdec2 libpython3-stdlib
libpython3.5-minimal libpython3.5-stdlib lsb-release mime-support
powermgmt-base python-apt-common python3 python3-apt python3-dbus python3-gi
python3-minimal python3-pycurl python3-software-properties python3.5
python3.5-minimal unattended-upgrades
Use 'apt autoremove' to remove them.
The following packages will be REMOVED:
software-properties-common*
0 upgraded, 0 newly installed, 1 to remove and 89 not upgraded.
After this operation, 193 kB disk space will be freed.
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Reading package lists...
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Building dependency tree...
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libunwind8 is already the newest version (1.1-4.1).
liblttng-ust0 is already the newest version (2.7.1-1).
libxml++2.6-2v5 is already the newest version (2.40.1-1).
runit is already the newest version (2.1.2-3ubuntu1).
psmisc is already the newest version (22.21-2.1ubuntu0.1).
wget is already the newest version (1.17.1-1ubuntu1.5).
nginx-light is already the newest version (1.10.3-0ubuntu0.16.04.5).
The following packages were automatically installed and are no longer required:
dh-python distro-info-data file gir1.2-glib-2.0 iso-codes libapt-inst2.0
libdbus-glib-1-2 libgirepository-1.0-1 libmagic1 libmpdec2 libpython3-stdlib
libpython3.5-minimal libpython3.5-stdlib lsb-release mime-support
powermgmt-base python-apt-common python3 python3-apt python3-dbus python3-gi
python3-minimal python3-pycurl python3-software-properties python3.5
python3.5-minimal unattended-upgrades
Use 'apt autoremove' to remove them.
Suggested packages:
rsyslog-mysql | rsyslog-pgsql rsyslog-doc rsyslog-relp rsyslog-elasticsearch
rsyslog-mmjsonparse rsyslog-imptcp rsyslog-gnutls rsyslog-openssl
rsyslog-udpspoof rsyslog-mmrm1stspace rsyslog-mmutf8fix rsyslog-kafka
rsyslog-omstdout apparmor zip
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Need to get 1022 kB of archives.
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Get:3 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 unzip amd64 6.0-20ubuntu1.1 [162 kB]
debconf: delaying package configuration, since apt-utils is not installed
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(Reading database ... 17865 files and directories currently installed.)
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invoke-rc.d: policy-rc.d denied execution of restart.
Setting up libcurl3:amd64 (7.47.0-1ubuntu2.18) ...
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Removing intermediate container 365e9cf93694
---> 20efb61c2138
Step 10/30 : RUN cp /var/configuration/rsyslog.conf /etc/rsyslog.conf && cp /var/configuration/nginx.conf /etc/nginx/sites-available/app && ln -sf /etc/nginx/sites-available/app /etc/nginx/sites-enabled/app && rm -f /etc/nginx/sites-enabled/default
---> Running in 63cacea1cd34
Removing intermediate container 63cacea1cd34
---> 84faae4c281c
Step 11/30 : ENV SVDIR=/var/runit
---> Running in bdf9d906e6c9
Removing intermediate container bdf9d906e6c9
---> e88673ec280d
Step 12/30 : RUN if dpkg --compare-versions `conda --version | grep -oE '[^ ]+$'` lt 4.4.11; then conda install conda==4.4.11; fi
---> Running in 9da19291b3cb
Removing intermediate container 9da19291b3cb
---> c989a8ec3bde
Step 13/30 : COPY azureml-environment-setup/mutated_conda_dependencies.yml azureml-environment-setup/mutated_conda_dependencies.yml
---> cbd0eb1b0c07
Step 14/30 : RUN ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad -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 9810bd03962e
Solving environment: ...working...
done
==> WARNING: A newer version of conda exists. <==
current version: 4.5.11
latest version: 4.9.2
Please update conda by running
$ conda update -n base -c defaults conda
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Downloading and Extracting Packages
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Downloading click-7.1.2-py2.py3-none-any.whl (82 kB)
Collecting Jinja2>=2.10
Downloading Jinja2-2.11.3-py2.py3-none-any.whl (125 kB)
Collecting azureml-dataprep-native<31.0.0,>=30.0.0
Downloading azureml_dataprep_native-30.0.0-cp36-cp36m-manylinux1_x86_64.whl (1.3 MB)
Collecting cloudpickle<2.0.0,>=1.1.0
Downloading cloudpickle-1.6.0-py3-none-any.whl (23 kB)
Collecting azure-identity<1.5.0,>=1.2.0
Downloading azure_identity-1.4.1-py2.py3-none-any.whl (86 kB)
Collecting azureml-dataprep-rslex<1.10.0a,>=1.9.0dev0
Downloading azureml_dataprep_rslex-1.9.1-cp36-cp36m-manylinux2010_x86_64.whl (9.0 MB)
Collecting dotnetcore2<3.0.0,>=2.1.14
Downloading dotnetcore2-2.1.20-py3-none-manylinux1_x86_64.whl (28.7 MB)
Collecting idna<3,>=2.5
Downloading idna-2.10-py2.py3-none-any.whl (58 kB)
Requirement already satisfied: certifi>=2017.4.17 in /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad/lib/python3.6/site-packages (from requests<3.0.0,>=2.19.1->azureml-core~=1.24.0->azureml-defaults->-r /azureml-environment-setup/condaenv.x40v5k3j.requirements.txt (line 1)) (2020.6.20)
Collecting chardet<5,>=3.0.2
Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)
Collecting jeepney>=0.6
Downloading jeepney-0.6.0-py3-none-any.whl (45 kB)
Collecting ruamel.yaml.clib>=0.1.2; platform_python_implementation == "CPython" and python_version < "3.10"
Downloading ruamel.yaml.clib-0.2.2-cp36-cp36m-manylinux1_x86_64.whl (549 kB)
Collecting isodate>=0.6.0
Downloading isodate-0.6.0-py2.py3-none-any.whl (45 kB)
Collecting requests-oauthlib>=0.5.0
Downloading requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting backports.weakref
Downloading backports.weakref-1.0.post1-py2.py3-none-any.whl (5.2 kB)
Collecting importlib-metadata; python_version < "3.8"
Downloading importlib_metadata-3.7.3-py3-none-any.whl (12 kB)
Collecting cffi>=1.12
Downloading cffi-1.14.5-cp36-cp36m-manylinux1_x86_64.whl (401 kB)
Collecting websocket-client>=0.32.0
Downloading websocket_client-0.58.0-py2.py3-none-any.whl (61 kB)
Collecting pyasn1>=0.1.1
Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Collecting MarkupSafe>=0.23
Downloading MarkupSafe-1.1.1-cp36-cp36m-manylinux2010_x86_64.whl (32 kB)
Collecting msal<2.0.0,>=1.3.0
Downloading msal-1.10.0-py2.py3-none-any.whl (60 kB)
Collecting msal-extensions~=0.2.2
Downloading msal_extensions-0.2.2-py2.py3-none-any.whl (15 kB)
Collecting azure-core<2.0.0,>=1.0.0
Downloading azure_core-1.12.0-py2.py3-none-any.whl (130 kB)
Collecting distro>=1.2.0
Downloading distro-1.5.0-py2.py3-none-any.whl (18 kB)
Collecting oauthlib>=3.0.0
Downloading oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
Collecting typing-extensions>=3.6.4; python_version < "3.8"
Downloading typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)
Collecting zipp>=0.5
Downloading zipp-3.4.1-py3-none-any.whl (5.2 kB)
Collecting pycparser
Downloading pycparser-2.20-py2.py3-none-any.whl (112 kB)
Collecting portalocker~=1.0; platform_system != "Windows"
Downloading portalocker-1.7.1-py2.py3-none-any.whl (10 kB)
Building wheels for collected packages: json-logging-py, fusepy, liac-arff
Building wheel for json-logging-py (setup.py): started
Building wheel for json-logging-py (setup.py): finished with status 'done'
Created wheel for json-logging-py: filename=json_logging_py-0.2-py3-none-any.whl size=3924 sha256=58da48f725b18b375adb049c020eadf7817aae8f36814bbc3a3a4ffff7a13b0e
Stored in directory: /root/.cache/pip/wheels/e2/1d/52/535a274b9c2ce7d4064838f2bdb62013801281ef7d7f21e2ee
Building wheel for fusepy (setup.py): started
Building wheel for fusepy (setup.py): finished with status 'done'
Created wheel for fusepy: filename=fusepy-3.0.1-py3-none-any.whl size=10504 sha256=d7becb3e840801932d930e44a90b0945e31ad7b0aedbda37f0f54e05337deec3
Stored in directory: /root/.cache/pip/wheels/21/5c/83/1dd7e8a232d12227e5410120f4374b33adeb4037473105b079
Building wheel for liac-arff (setup.py): started
Building wheel for liac-arff (setup.py): finished with status 'done'
Created wheel for liac-arff: filename=liac_arff-2.5.0-py3-none-any.whl size=11730 sha256=4a09a7de985de702a96b1c5ffe9c23428bb331c1c8f34f391dfea7f3a6aff91b
Stored in directory: /root/.cache/pip/wheels/53/ba/da/8562a6a6dbb428fd1ecc21053106df3948645cd991958f669b
Successfully built json-logging-py fusepy liac-arff
Installing collected packages: configparser, numpy, pyarrow, azureml-dataprep-native, cloudpickle, six, idna, urllib3, chardet, requests, PyJWT, pycparser, cffi, cryptography, msal,
portalocker, msal-extensions, azure-core, azure-identity, azureml-dataprep-rslex, distro, dotnetcore2, azureml-dataprep, fusepy, azureml-dataset-runtime, gunicorn, python-dateutil, adal, azure-common, isodate, oauthlib, requests-oauthlib, msrest, msrestazure, azure-mgmt-containerregistry, azure-mgmt-keyvault, azure-mgmt-resource, azure-mgmt-storage, jeepney, SecretStorage, azure-mgmt-authorization, pathspec, ruamel.yaml.clib, ruamel.yaml, azure-graphrbac, contextlib2, backports.weakref, backports.tempfile, typing-extensions, zipp, importlib-metadata, jsonpickle, pytz, pyopenssl, jmespath, websocket-client, docker, pyasn1, ndg-httpsclient, azureml-core, applicationinsights, werkzeug, json-logging-py, dill, liac-arff, pandas, azureml-model-management-sdk, itsdangerous, click, MarkupSafe, Jinja2, flask, azureml-defaults
Successfully installed Jinja2-2.11.3 MarkupSafe-1.1.1 PyJWT-2.0.1 SecretStorage-3.3.1 adal-1.2.6 applicationinsights-0.11.9 azure-common-1.1.26 azure-core-1.12.0 azure-graphrbac-0.61.1 azure-identity-1.4.1 azure-mgmt-authorization-0.61.0 azure-mgmt-containerregistry-2.8.0 azure-mgmt-keyvault-2.2.0 azure-mgmt-resource-12.1.0 azure-mgmt-storage-11.2.0 azureml-core-1.24.0.post2 azureml-dataprep-2.11.2 azureml-dataprep-native-30.0.0 azureml-dataprep-rslex-1.9.1 azureml-dataset-runtime-1.24.0 azureml-defaults-1.24.0 azureml-model-management-sdk-1.0.1b6.post1 backports.tempfile-1.0 backports.weakref-1.0.post1 cffi-1.14.5 chardet-4.0.0 click-7.1.2 cloudpickle-1.6.0 configparser-3.7.4 contextlib2-0.6.0.post1 cryptography-3.4.6 dill-0.3.3 distro-1.5.0 docker-4.4.4 dotnetcore2-2.1.20 flask-1.0.3 fusepy-3.0.1 gunicorn-19.9.0 idna-2.10 importlib-metadata-3.7.3 isodate-0.6.0 itsdangerous-1.1.0 jeepney-0.6.0 jmespath-0.10.0 json-logging-py-0.2 jsonpickle-2.0.0 liac-arff-2.5.0 msal-1.10.0 msal-extensions-0.2.2 msrest-0.6.21 msrestazure-0.6.4 ndg-httpsclient-0.5.1 numpy-1.19.5 oauthlib-3.1.0 pandas-1.1.5 pathspec-0.8.1 portalocker-1.7.1 pyarrow-1.0.1 pyasn1-0.4.8 pycparser-2.20 pyopenssl-20.0.1 python-dateutil-2.8.1 pytz-2021.1 requests-2.25.1 requests-oauthlib-1.3.0 ruamel.yaml-0.16.13 ruamel.yaml.clib-0.2.2 six-1.15.0 typing-extensions-3.7.4.3 urllib3-1.26.4 websocket-client-0.58.0 werkzeug-1.0.1 zipp-3.4.1
#
# To activate this environment, use:
# > source activate /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad
#
# To deactivate an active environment, use:
# > source deactivate
#
Removing intermediate container 9810bd03962e
---> ed070b0f9aef
Step 15/30 : ENV PATH /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad/bin:$PATH
---> Running in ca1eadf1fc6a
Removing intermediate container ca1eadf1fc6a
---> 1e20f68f85a9
Step 16/30 : COPY azureml-environment-setup/send_conda_dependencies.py azureml-environment-setup/send_conda_dependencies.py
---> 480f97868c2a
Step 17/30 : COPY azureml-environment-setup/environment_context.json azureml-environment-setup/environment_context.json
---> 569930f4fa7b
Step 18/30 : RUN python /azureml-environment-setup/send_conda_dependencies.py -p /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad
---> Running in 33d085e4c7bc
Report materialized dependencies for the environment
Reading environment context
Exporting conda environment
Exception occured on getting conda environment details
Failed to send materialized environment details
Removing intermediate container 33d085e4c7bc
---> 9cea08df107f
Step 19/30 : ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad
---> Running in 8151984dad05
Removing intermediate container 8151984dad05
---> 95f01ed880ba
Step 20/30 : ENV LD_LIBRARY_PATH /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad/lib:$LD_LIBRARY_PATH
---> Running in 357ad78ff3e4
Removing intermediate container 357ad78ff3e4
---> 7e21c80fa6b3
Step 21/30 : RUN conda install -p /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad -y pip=20.1.1
---> Running in e9623a92ee0c
Solving environment: ...working...
done
==> WARNING: A newer version of conda exists. <==
current version: 4.5.11
latest version: 4.9.2
Please update conda by running
$ conda update -n base -c defaults conda
pip-20.1.1 | 2.0 MB | ########## | 100%
openssl-1.0.2u | 3.1 MB | ########## | 100%
certifi-2020.12.5 | 144 KB | ########## | 100%
ca-certificates-2021 | 125 KB | ########## | 100%
## Package Plan ##
environment location: /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad
added / updated specs:
- pip=20.1.1
The following packages will be downloaded:
package | build
---------------------------|-----------------
pip-20.1.1 | py36_1 2.0 MB
openssl-1.0.2u | h7b6447c_0 3.1 MB
certifi-2020.12.5 | py36h06a4308_0 144 KB
ca-certificates-2021.1.19 | h06a4308_1 125 KB
------------------------------------------------------------
Total: 5.4 MB
The following packages will be UPDATED:
ca-certificates: 2020.10.14-0 anaconda --> 2021.1.19-h06a4308_1
certifi: 2020.6.20-py36_0 anaconda --> 2020.12.5-py36h06a4308_0
openssl: 1.0.2u-h7b6447c_0 anaconda --> 1.0.2u-h7b6447c_0
The following packages will be DOWNGRADED:
pip: 20.2.4-py36_0 anaconda --> 20.1.1-py36_1
Downloading and Extracting Packages
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Removing intermediate container e9623a92ee0c
---> 7ec034c4f9fa
Step 22/30 : RUN conda install -p /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad -c conda-forge -y mscorefonts
---> Running in 023e56d1c0a8
Solving environment: ...working...
done
==> WARNING: A newer version of conda exists. <==
current version: 4.5.11
latest version: 4.9.2
Please update conda by running
$ conda update -n base -c defaults conda
ca-certificates-2020 | 137 KB | ########## | 100%
openssl-1.0.2u | 3.2 MB | ########## | 100%
mscorefonts-0.0.1 | 3.1 MB | ########## | 100%
certifi-2020.12.5 | 143 KB | ########## | 100%
python_abi-3.6 | 4 KB | ########## | 100%
## Package Plan ##
environment location: /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad
added / updated specs:
- mscorefonts
The following packages will be downloaded:
package | build
---------------------------|-----------------
ca-certificates-2020.12.5 | ha878542_0 137 KB conda-forge
openssl-1.0.2u | h516909a_0 3.2 MB conda-forge
mscorefonts-0.0.1 | 3 3.1 MB conda-forge
certifi-2020.12.5 | py36h5fab9bb_1 143 KB conda-forge
python_abi-3.6 | 1_cp36m 4 KB conda-forge
------------------------------------------------------------
Total: 6.5 MB
The following NEW packages will be INSTALLED:
mscorefonts: 0.0.1-3 conda-forge
python_abi: 3.6-1_cp36m conda-forge
The following packages will be UPDATED:
certifi: 2020.12.5-py36h06a4308_0 --> 2020.12.5-py36h5fab9bb_1 conda-forge
openssl: 1.0.2u-h7b6447c_0 --> 1.0.2u-h516909a_0 conda-forge
The following packages will be DOWNGRADED:
ca-certificates: 2021.1.19-h06a4308_1 --> 2020.12.5-ha878542_0 conda-forge
Downloading and Extracting Packages
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Removing intermediate container 023e56d1c0a8
---> 0301aafd067a
Step 23/30 : RUN conda install -p /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad -c r -y r-essentials=3.6.0 rpy2 r-checkpoint && pip install --no-cache-dir azureml-defaults
---> Running in d49173157511
Solving environment: ...working... // never completes
Additional context
azuremlsdk (R): 1.11.0
azureml-sdk (Python): 1.24.0
Both anaconda and miniconda have been tried and neither worked.
I suppose something went wrong with the -c r channel in conda install, probably?
This currently occurs even if you do not specify custom environment. Basically just creating experiment with basic "Hello world" script fails on image build step.
I confirm that deployment fails even for the default environment without additional packages. The deployment hangs and stays in "Transitioning" state indefinitely. There are no deployment logs available. The only way to remove the endpoint is using Azure CLI, the workspace UI does not allow removing endpoints in this state.
To debug the issue, I first registered a plain R environment in AML Workspace and then used this in the deployment. The environment build log reveals that the environment build runs into timeout at step 23:
Step 23/30 : RUN conda install -p /azureml-envs/azureml_da3e97fcb51801118b8e80207f3e01ad -c r -y r-essentials=3.6.0 rpy2 r-checkpoint && pip install --no-cache-dir azureml-defaults
---> Running in 9be319800471
Solving environment: ...working...
Run ID: cb7 timed out after 1h30m0s
I have previously built custom R environments and noticed that the rpy2 install step can take a very long time even when run locally. It seems that 90min timeout limit is too strict for the deployment. (!)
It seems problem is that by default r-essentials package is installed.
As a workaround, what you can do is build and use custom environment. I used something like this (Dockerfile):
FROM mcr.microsoft.com/azureml/base:openmpi3.1.2-ubuntu18.04
RUN conda install -c r -y pip=20.1.1 openssl=1.1.1c r-base rpy2 && \
conda install -c conda-forge -y mscorefonts && \
conda clean -ay && \
pip install --no-cache-dir azureml-defaults
ENV TAR="/bin/tar"
RUN R -e "install.packages(c('remotes', 'reticulate', 'optparse', 'caret'), dependencies = TRUE, repos = 'https://cloud.r-project.org/')"
RUN R -e "remotes::install_github('https://github.com/Azure/azureml-sdk-for-r')"
And then point to that image when you are setting up environment in script:
env <- r_environment(
name = "<randomName>",
custom_docker_image = "<repoUrl/imageName:imageTag>"
)
Yes, the custom Dockerfile approach works for me too. As the R SDK will be deprecated soon, I guess this won't be fixed. Hopefully the new approach will be more stable.