Error on prepare step when running ML training pipeline #80
Description
Just today I forked the current version of this repo and followed the getting started guide to set up the pipelines using Azure DevOps. All is set up and the ML pipeline is created in AML. However, when invoking the retrain pipeline, I get these errors in AML.
Any ideas what went wrong here?
Thanks!
From 20_image_build_log.txt:
2019/10/15 11:08:47 Downloading source code...
2019/10/15 11:08:50 Finished downloading source code
2019/10/15 11:08:51 Creating Docker network: acb_default_network, driver: 'bridge'
2019/10/15 11:08:51 Successfully set up Docker network: acb_default_network
2019/10/15 11:08:51 Setting up Docker configuration...
2019/10/15 11:08:52 Successfully set up Docker configuration
2019/10/15 11:08:52 Logging in to registry: sebmlopsamlcr.azurecr.io
2019/10/15 11:08:53 Successfully logged into sebmlopsamlcr.azurecr.io
2019/10/15 11:08:53 Executing step ID: acb_step_0. Timeout(sec): 5400, Working directory: '', Network: 'acb_default_network'
2019/10/15 11:08:53 Scanning for dependencies...
2019/10/15 11:08:55 Successfully scanned dependencies
2019/10/15 11:08:55 Launching container with name: acb_step_0
Sending build context to Docker daemon 59.39kB
Step 1/15 : FROM mcr.microsoft.com/azureml/base:intelmpi2018.3-ubuntu16.04@sha256:9bda9c367ad75bf4530c4cd034b4b82884ef52a13bb52e5ba5feb8e332cbaec8
sha256:9bda9c367ad75bf4530c4cd034b4b82884ef52a13bb52e5ba5feb8e332cbaec8: Pulling from azureml/base
16c48d79e9cc: Already exists
3c654ad3ed7d: Already exists
6276f4f9c29d: Already exists
a4bd43ad48ce: Already exists
f190bad819d1: Pulling fs layer
07f7c6b6ffe6: Pulling fs layer
9bd8013aa86d: Pulling fs layer
28efa186d852: Pulling fs layer
8adfa74289f9: Pulling fs layer
6865d2339eef: Pulling fs layer
2a7bad8c8573: Pulling fs layer
28efa186d852: Waiting
8adfa74289f9: Waiting
6865d2339eef: Waiting
2a7bad8c8573: Waiting
9bd8013aa86d: Verifying Checksum
9bd8013aa86d: Download complete
07f7c6b6ffe6: Verifying Checksum
07f7c6b6ffe6: Download complete
f190bad819d1: Verifying Checksum
f190bad819d1: Download complete
6865d2339eef: Verifying Checksum
6865d2339eef: Download complete
8adfa74289f9: Verifying Checksum
8adfa74289f9: Download complete
28efa186d852: Verifying Checksum
28efa186d852: Download complete
2a7bad8c8573: Verifying Checksum
2a7bad8c8573: Download complete
f190bad819d1: Pull complete
07f7c6b6ffe6: Pull complete
9bd8013aa86d: Pull complete
28efa186d852: Pull complete
8adfa74289f9: Pull complete
6865d2339eef: Pull complete
2a7bad8c8573: Pull complete
Digest: sha256:9bda9c367ad75bf4530c4cd034b4b82884ef52a13bb52e5ba5feb8e332cbaec8
Status: Downloaded newer image for mcr.microsoft.com/azureml/base:intelmpi2018.3-ubuntu16.04@sha256:9bda9c367ad75bf4530c4cd034b4b82884ef52a13bb52e5ba5feb8e332cbaec8
---> 2b48389fb638
Step 2/15 : USER root
---> Running in a5f73aa440a1
Removing intermediate container a5f73aa440a1
---> afe48629ce42
Step 3/15 : RUN mkdir -p $HOME/.cache
---> Running in 15080cd562b8
Removing intermediate container 15080cd562b8
---> a58908cbbf59
Step 4/15 : WORKDIR /
---> Running in ff746600d881
Removing intermediate container ff746600d881
---> a742af9830bf
Step 5/15 : COPY azureml-environment-setup/99brokenproxy /etc/apt/apt.conf.d/
---> ac6f9605ca2b
Step 6/15 : RUN if dpkg --compare-versions `conda --version | grep -oE '[^ ]+$'` lt 4.4.11; then conda install conda==4.4.11; fi
---> Running in 2e4f759dcdfc
Removing intermediate container 2e4f759dcdfc
---> 501340b3d002
Step 7/15 : COPY azureml-environment-setup/mutated_conda_dependencies.yml azureml-environment-setup/mutated_conda_dependencies.yml
---> 126dc504ffe7
Step 8/15 : RUN ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a -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 f8b50f7397ff
Solving environment: ...working... done
�[91m
==> WARNING: A newer version of conda exists. <==
current version: 4.5.11
latest version: 4.7.12
Please update conda by running
$ conda update -n base -c defaults conda
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pyyaml-5.1.2 | 184 KB | | 0% �[0m�[91m
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wheel-0.33.6 | 35 KB | | 0% �[0m�[91m
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ca-certificates-2019 | 144 KB | | 0% �[0m�[91m
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protobuf-3.10.0 | 693 KB | | 0% �[0m�[91m
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mako-1.1.0 | 57 KB | | 0% �[0m�[91m
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python-3.6.2 | 19.0 MB | ######9 | 70% �[0m�[91m
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binutils_impl_linux- | 16.4 MB | ########## | 100% �[0m�[91m
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Downloading and Extracting Packages
Preparing transaction: ...working... done
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Executing transaction: ...working... done
Collecting azure (from -r /azureml-environment-setup/condaenv.6xa3pkcy.requirements.txt (line 1))
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Downloading https://files.pythonhosted.org/packages/73/e7/5d909ef5812fc31f2871f3510ef43af93157ba51be03b6f798afba7a29d8/azure_mgmt_datalake_analytics-0.6.0-py2.py3-none-any.whl (288kB)
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Downloading https://files.pythonhosted.org/packages/70/40/c9b77bf82916e963aa701fb396673f7ddc4cdab95524b6d2edf927b05630/azure_mgmt_loganalytics-0.2.0-py2.py3-none-any.whl (89kB)
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Downloading https://files.pythonhosted.org/packages/fd/7f/80327a27e03473101afb136e872279ad1386adf1bac14a58a9f839cd8352/azure_mgmt_recoveryservices-0.3.0-py2.py3-none-any.whl (70kB)
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Downloading https://files.pythonhosted.org/packages/28/ad/9e90f8bab40a9682410e57ed08a799be113c5e470bec247b099038c6389e/azure_mgmt_servicebus-0.5.3-py2.py3-none-any.whl (112kB)
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Downloading https://files.pythonhosted.org/packages/ed/4f/c322d72dc92dde543471bc23f9ac0eb6b9d0dc2441bb5ce938250040e307/azure_mgmt_trafficmanager-0.50.0-py2.py3-none-any.whl (52kB)
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Downloading https://files.pythonhosted.org/packages/6e/06/fafe8b5d881cfa68927e61557c8419dcfacb93e07f4ab17cc60959707a53/azure_mgmt_servicefabric-0.2.0-py2.py3-none-any.whl (142kB)
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Collecting azure-mgmt-sql~=0.9.1 (from azure-mgmt~=4.0->azure->-r /azureml-environment-setup/condaenv.6xa3pkcy.requirements.txt (line 1))
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Downloading https://files.pythonhosted.org/packages/90/a7/42342a984b2916972c5c5e24df94e3cd5e4377a8dc465a83415706d9be6f/azure_mgmt_redis-5.0.0-py2.py3-none-any.whl (43kB)
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Downloading https://files.pythonhosted.org/packages/19/d6/b422df467b3d7f4e2975b590fbf6e12aaae0a497c7d080b4955a6a6d794a/azure_mgmt_iothub-0.5.0-py2.py3-none-any.whl (102kB)
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Collecting azure-mgmt-billing~=0.2.0 (from azure-mgmt~=4.0->azure->-r /azureml-environment-setup/condaenv.6xa3pkcy.requirements.txt (line 1))
Downloading https://files.pythonhosted.org/packages/0f/24/5106287ea0f6562d965afb055e3c6c0da058f7844a70464e67bab56c6c4b/azure_mgmt_billing-0.2.0-py2.py3-none-any.whl
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Collecting azure-mgmt-nspkg>=2.0.0 (from azure-mgmt-recoveryservicesbackup~=0.3.0->azure-mgmt~=4.0->azure->-r /azureml-environment-setup/condaenv.6xa3pkcy.requirements.txt (line 1))
Downloading https://files.pythonhosted.org/packages/b3/c2/af4b47845f27dc7d206ed4908b9e580f8bc94a4b2f3956a0d87c40719d90/azure_mgmt_nspkg-3.0.2-py3-none-any.whl
Collecting azure-mgmt-datalake-nspkg>=2.0.0 (from azure-mgmt-datalake-analytics~=0.6.0->azure-mgmt~=4.0->azure->-r /azureml-environment-setup/condaenv.6xa3pkcy.requirements.txt (line 1))
Downloading https://files.pythonhosted.org/packages/48/3d/c65a520d93448923a96784582a0deafaae096cb37b444ae5d63b57f0562d/azure_mgmt_datalake_nspkg-3.0.1-py3-none-any.whl
Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.5.0->msrest>=0.5.1->azureml-core==1.0.65.*->-r /azureml-environment-setup/condaenv.6xa3pkcy.requirements.txt (line 2))
Downloading https://files.pythonhosted.org/packages/05/57/ce2e7a8fa7c0afb54a0581b14a65b56e62b5759dbc98e80627142b8a3704/oauthlib-3.1.0-py2.py3-none-any.whl (147kB)
Building wheels for collected packages: pathspec, cffi, pycparser
Building wheel for pathspec (setup.py): started
Building wheel for pathspec (setup.py): finished with status 'done'
Created wheel for pathspec: filename=pathspec-0.6.0-cp36-none-any.whl size=26671 sha256=b118643057d69727bff5c345c1cdc0761a3285eb3e606a0f701e7254a5088639
Stored in directory: /root/.cache/pip/wheels/62/b8/e1/e2719465b5947c40cd85d613d6cb33449b86a1ca5a6c574269
Building wheel for cffi (setup.py): started
Building wheel for cffi (setup.py): finished with status 'error'
�[91m ERROR: Command errored out with exit status 1:
command: /azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-ttlxabm5/cffi/setup.py'"'"'; __file__='"'"'/tmp/pip-install-ttlxabm5/cffi/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-a0of9r0t --python-tag cp36
cwd: /tmp/pip-install-ttlxabm5/cffi/
Complete output (34 lines):
running bdist_wheel
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/cffi
copying cffi/recompiler.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/error.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/verifier.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/setuptools_ext.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/backend_ctypes.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/ffiplatform.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/vengine_gen.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/__init__.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/lock.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/cparser.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/vengine_cpy.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/commontypes.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/model.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/api.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/cffi_opcode.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/pkgconfig.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/_cffi_include.h -> build/lib.linux-x86_64-3.6/cffi
copying cffi/parse_c_type.h -> build/lib.linux-x86_64-3.6/cffi
copying cffi/_embedding.h -> build/lib.linux-x86_64-3.6/cffi
copying cffi/_cffi_errors.h -> build/lib.linux-x86_64-3.6/cffi
running build_ext
building '_cffi_backend' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/c
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DUSE__THREAD -DHAVE_SYNC_SYNCHRONIZE -I/usr/include/ffi -I/usr/include/libffi -I/azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a/include/python3.6m -c c/_cffi_backend.c -o build/temp.linux-x86_64-3.6/c/_cffi_backend.o
c/_cffi_backend.c:15:17: fatal error: ffi.h: No such file or directory
compilation terminated.
error: command 'gcc' failed with exit status 1
----------------------------------------
�[0m�[91m ERROR: Failed building wheel for cffi
�[0m Running setup.py clean for cffi
Building wheel for pycparser (setup.py): started
Building wheel for pycparser (setup.py): finished with status 'done'
Created wheel for pycparser: filename=pycparser-2.19-py2.py3-none-any.whl size=111029 sha256=0cd5a70063a0b69408b96f18e0ec667cbcea422ebb35678d24c76c5ecaa58b2d
Stored in directory: /root/.cache/pip/wheels/f2/9a/90/de94f8556265ddc9d9c8b271b0f63e57b26fb1d67a45564511
Successfully built pathspec pycparser
Failed to build cffi
�[91mERROR: azure-storage-queue 1.4.0 has requirement azure-storage-common~=1.4, but you'll have azure-storage-common 2.1.0 which is incompatible.
ERROR: azure-mgmt 4.0.0 has requirement azure-mgmt-authorization~=0.50.0, but you'll have azure-mgmt-authorization 0.60.0 which is incompatible.
�[0m�[91mERROR: azure-mgmt 4.0.0 has requirement azure-mgmt-keyvault~=1.0, but you'll have azure-mgmt-keyvault 2.0.0 which is incompatible.
ERROR: azure-mgmt 4.0.0 has requirement azure-mgmt-resource~=2.0, but you'll have azure-mgmt-resource 5.1.0 which is incompatible.
�[0m�[91mERROR: azure-mgmt 4.0.0 has requirement azure-mgmt-storage~=2.0, but you'll have azure-mgmt-storage 4.2.0 which is incompatible.
ERROR: azure-storage-file 1.4.0 has requirement azure-storage-common~=1.4, but you'll have azure-storage-common 2.1.0 which is incompatible.
�[0m�[91mERROR: azure-cosmosdb-table 1.0.5 has requirement azure-storage-common~=1.1, but you'll have azure-storage-common 2.1.0 which is incompatible.
ERROR: azure 4.0.0 has requirement azure-storage-blob~=1.3, but you'll have azure-storage-blob 2.1.0 which is incompatible.
�[0mInstalling collected packages: pycparser, cffi, asn1crypto, cryptography, idna, urllib3, chardet, requests, PyJWT, adal, azure-datalake-store, azure-common, azure-nspkg, azure-servicebus, isodate, oauthlib, requests-oauthlib, msrest, msrestazure, azure-keyvault, azure-storage-common, azure-storage-queue, azure-eventgrid, azure-servicefabric, azure-graphrbac, azure-servicemanagement-legacy, azure-mgmt-nspkg, azure-mgmt-recoveryservicesbackup, azure-mgmt-eventgrid, azure-mgmt-marketplaceordering, azure-mgmt-keyvault, azure-mgmt-eventhub, azure-mgmt-subscription, azure-mgmt-cdn, azure-mgmt-machinelearningcompute, azure-mgmt-containerservice, azure-mgmt-datamigration, azure-mgmt-compute, azure-mgmt-applicationinsights, azure-mgmt-powerbiembedded, azure-mgmt-cosmosdb, azure-mgmt-consumption, azure-mgmt-relay, azure-mgmt-reservations, azure-mgmt-hanaonazure, azure-mgmt-batch, azure-mgmt-devspaces, azure-mgmt-maps, azure-mgmt-logic, azure-mgmt-datalake-nspkg, azure-mgmt-datalake-analytics, azure-mgmt-cognitiveservices, azure-mgmt-containerinstance, azure-mgmt-datafactory, azure-mgmt-resource, azure-mgmt-commerce, azure-mgmt-policyinsights, azure-mgmt-storage, azure-mgmt-containerregistry, azure-mgmt-scheduler, azure-mgmt-authorization, azure-mgmt-managementgroups, azure-mgmt-search, azure-mgmt-devtestlabs, azure-mgmt-signalr, azure-mgmt-iotcentral, azure-mgmt-web, azure-mgmt-datalake-store, azure-mgmt-batchai, azure-mgmt-loganalytics, azure-mgmt-managementpartner, azure-mgmt-msi, azure-mgmt-notificationhubs, azure-mgmt-rdbms, azure-mgmt-recoveryservices, azure-mgmt-servicebus, azure-mgmt-trafficmanager, azure-mgmt-servicefabric, azure-mgmt-dns, azure-mgmt-iothubprovisioningservices, azure-mgmt-sql, azure-mgmt-media, azure-mgmt-redis, azure-mgmt-iothub, azure-mgmt-monitor, azure-mgmt-billing, azure-mgmt-network, azure-mgmt-advisor, azure-mgmt, azure-loganalytics, azure-storage-blob, azure-storage-file, azure-cosmosdb-nspkg, azure-cosmosdb-table, azure-batch, azure-applicationinsights, azure, backports.weakref, backports.tempfile, jsonpickle, contextlib2, jmespath, pathspec, ruamel.yaml, jeepney, SecretStorage, pyasn1, pyopenssl, ndg-httpsclient, websocket-client, docker, azureml-core, azure-storage
Running setup.py install for cffi: started
Running setup.py install for cffi: finished with status 'error'
�[91m ERROR: Command errored out with exit status 1:
command: /azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-ttlxabm5/cffi/setup.py'"'"'; __file__='"'"'/tmp/pip-install-ttlxabm5/cffi/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-7w0mugkx/install-record.txt --single-version-externally-managed --compile
cwd: /tmp/pip-install-ttlxabm5/cffi/
Complete output (34 lines):
running install
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/cffi
copying cffi/recompiler.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/error.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/verifier.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/setuptools_ext.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/backend_ctypes.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/ffiplatform.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/vengine_gen.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/__init__.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/lock.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/cparser.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/vengine_cpy.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/commontypes.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/model.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/api.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/cffi_opcode.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/pkgconfig.py -> build/lib.linux-x86_64-3.6/cffi
copying cffi/_cffi_include.h -> build/lib.linux-x86_64-3.6/cffi
copying cffi/parse_c_type.h -> build/lib.linux-x86_64-3.6/cffi
copying cffi/_embedding.h -> build/lib.linux-x86_64-3.6/cffi
copying cffi/_cffi_errors.h -> build/lib.linux-x86_64-3.6/cffi
running build_ext
building '_cffi_backend' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/c
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DUSE__THREAD -DHAVE_SYNC_SYNCHRONIZE -I/usr/include/ffi -I/usr/include/libffi -I/azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a/include/python3.6m -c c/_cffi_backend.c -o build/temp.linux-x86_64-3.6/c/_cffi_backend.o
c/_cffi_backend.c:15:17: fatal error: ffi.h: No such file or directory
compilation terminated.
error: command 'gcc' failed with exit status 1
----------------------------------------
�[0m�[91mERROR: Command errored out with exit status 1: /azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-ttlxabm5/cffi/setup.py'"'"'; __file__='"'"'/tmp/pip-install-ttlxabm5/cffi/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-7w0mugkx/install-record.txt --single-version-externally-managed --compile Check the logs for full command output.
�[0m�[91m
CondaValueError: pip returned an error
�[0mThe command '/bin/sh -c ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_91cf96598daaf9857ba43d7ab7c3907a -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
2019/10/15 11:12:19 Container failed during run: acb_step_0. No retries remaining.
failed to run step ID: acb_step_0: exit status 1
Run ID: cj2 failed after 3m33s. Error: failed during run, err: exit status 1