我使用Azure机器学习服务创建了分类器模型，成功注册了模型之后，我为容器实例构建了正确的环境。不幸的是，当我部署解决方案时，它给了我错误：
Creating image
Running............................................
Failed
ERROR - Image creation polling reached non-successful terminal state, current state: Failed
Error response from server:
StatusCode: 400
Message: Docker image build failed.
---------------------------------------------------------------------------
WebserviceException Traceback (most recent call last)
<ipython-input-74-aa6e81eea9f4> in <module>
14 workspace = ws)
15
---> 16 image.wait_for_creation(show_output = True)
~/anaconda3_501/lib/python3.6/site-packages/azureml/core/image/image.py in wait_for_creation(self, show_output)
426 'current state: {}\n'
427 'Error response from server:\n'
--> 428 '{}'.format(self.creation_state, error_response), logger=module_logger)
429
430 print('Image creation operation finished for image {}, operation "{}"'.format(self.id, operation_state))
WebserviceException: WebserviceException:
Message: Image creation polling reached non-successful terminal state, current state: Failed
Error response from server:
StatusCode: 400
Message: Docker image build failed.
InnerException None
ErrorResponse
{
"error": {
"message": "Image creation polling reached non-successful terminal state, current state: Failed\nError response from server:\nStatusCode: 400\nMessage: Docker image build failed."
}
}
不过，这是我的部署构建日志，以获取更多详细信息：
2020/02/19 12:31:54 Downloading source code...
2020/02/19 12:31:55 Finished downloading source code
2020/02/19 12:31:56 Creating Docker network: acb_default_network, driver: 'bridge'
2020/02/19 12:31:56 Successfully set up Docker network: acb_default_network
2020/02/19 12:31:56 Setting up Docker configuration...
2020/02/19 12:31:57 Successfully set up Docker configuration
2020/02/19 12:31:57 Logging in to registry: kspml849c70e2.azurecr.io
2020/02/19 12:31:58 Successfully logged into kspml849c70e2.azurecr.io
2020/02/19 12:31:58 Executing step ID: acb_step_0. Timeout(sec): 5400, Working directory: '', Network: 'acb_default_network'
2020/02/19 12:31:58 Scanning for dependencies...
2020/02/19 12:31:59 Successfully scanned dependencies
2020/02/19 12:31:59 Launching container with name: acb_step_0
Sending build context to Docker daemon 60.93kB
Step 1/15 : FROM mcr.microsoft.com/azureml/base:intelmpi2018.3-ubuntu16.04@sha256:a1b514f3ba884b9a7695cbba5638933ddaf222e8ce3e8c81e8cdf861679abb05
sha256:a1b514f3ba884b9a7695cbba5638933ddaf222e8ce3e8c81e8cdf861679abb05: Pulling from azureml/base
Digest: sha256:a1b514f3ba884b9a7695cbba5638933ddaf222e8ce3e8c81e8cdf861679abb05
Status: Downloaded newer image for mcr.microsoft.com/azureml/base:intelmpi2018.3-ubuntu16.04@sha256:a1b514f3ba884b9a7695cbba5638933ddaf222e8ce3e8c81e8cdf861679abb05
---> 93a72e6bd1ce
Step 2/15 : USER root
---> Running in 393b73df59b3
Removing intermediate container 393b73df59b3
---> 619a597fef9a
Step 3/15 : RUN mkdir -p $HOME/.cache
---> Running in af82045a0728
Removing intermediate container af82045a0728
---> 92c4cea30c0d
Step 4/15 : WORKDIR /
---> Running in fcccebaec30a
Removing intermediate container fcccebaec30a
---> 74738143ed62
Step 5/15 : COPY azureml-environment-setup/99brokenproxy /etc/apt/apt.conf.d/
---> d797c565fcc0
Step 6/15 : RUN if dpkg --compare-versions `conda --version | grep -oE '[^ ]+$'` lt 4.4.11; then conda install conda==4.4.11; fi
---> Running in ff03efcc360d
Removing intermediate container ff03efcc360d
---> e87c005b23e5
Step 7/15 : COPY azureml-environment-setup/mutated_conda_dependencies.yml azureml-environment-setup/mutated_conda_dependencies.yml
---> 97c2a118668f
Step 8/15 : RUN ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_f7bdb7945ed8606d963cd2fc691ee724 -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 46dcf190b7e8
Solving environment: ...working...
Warning: 2 possible package resolutions (only showing differing packages):
- conda-forge::_openmp_mutex-4.5-1_llvm, conda-forge::libopenblas-0.3.7-h5ec1e0e_7, conda-forge::llvm-openmp-9.0.1-hc9558a2_2
- conda-forge::_openmp_mutex-4.5-0_gnu, conda-forge::libgomp-9.2.0-h24d8f2e_2, conda-forge::libopenblas-0.3.7-h5ec1e0e_6done
[91m
==> WARNING: A newer version of conda exists. <==
current version: 4.5.11
latest version: 4.8.2
Please update conda by running
$ conda update -n base -c defaults conda
wheel-0.34.2 | 24 KB | | 0% [0m[91m
wheel-0.34.2 | 24 KB | ########## | 100% [0m[91m
libstdcxx-ng-9.2.0 | 4.5 MB | | 0% [0m[91m
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libstdcxx-ng-9.2.0 | 4.5 MB | #########8 | 99% [0m[91m
libstdcxx-ng-9.2.0 | 4.5 MB | ########## | 100% [0m[91m
scipy-1.4.1 | 18.9 MB | | 0% [0m[91m
scipy-1.4.1 | 18.9 MB | #3 | 14% [0m[91m
scipy-1.4.1 | 18.9 MB | #####1 | 52% [0m[91m
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scipy-1.4.1 | 18.9 MB | #########2 | 92% [0m[91m
scipy-1.4.1 | 18.9 MB | ########## | 100% [0m[91m
libgfortran-ng-7.3.0 | 1.7 MB | | 0% [0m[91m
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libgfortran-ng-7.3.0 | 1.7 MB | ########## | 100% [0m[91m
_libgcc_mutex-0.1 | 3 KB | | 0% [0m[91m
_libgcc_mutex-0.1 | 3 KB | ########## | 100% [0m[91m
openssl-1.0.2u | 3.2 MB | | 0% [0m[91m
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openssl-1.0.2u | 3.2 MB | #########2 | 93% [0m[91m
openssl-1.0.2u | 3.2 MB | ########## | 100% [0m[91m
llvm-openmp-9.0.1 | 782 KB | | 0% [0m[91m
llvm-openmp-9.0.1 | 782 KB | ########6 | 86% [0m[91m
llvm-openmp-9.0.1 | 782 KB | ########## | 100% [0m[91m
ncurses-5.9 | 1.1 MB | | 0% [0m[91m
ncurses-5.9 | 1.1 MB | #######8 | 79% [0m[91m
ncurses-5.9 | 1.1 MB | ########7 | 88% [0m[91m
ncurses-5.9 | 1.1 MB | #########7 | 97% [0m[91m
ncurses-5.9 | 1.1 MB | ########## | 100% [0m[91m
zlib-1.2.11 | 105 KB | | 0% [0m[91m
zlib-1.2.11 | 105 KB | ########## | 100% [0m[91m
liblapack-3.8.0 | 10 KB | | 0% [0m[91m
liblapack-3.8.0 | 10 KB | ########## | 100% [0m[91m
scikit-learn-0.22.1 | 7.1 MB | | 0% [0m[91m
scikit-learn-0.22.1 | 7.1 MB | ####7 | 47% [0m[91m
scikit-learn-0.22.1 | 7.1 MB | #######5 | 76% [0m[91m
scikit-learn-0.22.1 | 7.1 MB | ########9 | 90% [0m[91m
scikit-learn-0.22.1 | 7.1 MB | ########## | 100% [0m[91m
_openmp_mutex-4.5 | 5 KB | | 0% [0m[91m
_openmp_mutex-4.5 | 5 KB | ########## | 100% [0m[91m
ca-certificates-2019 | 145 KB | | 0% [0m[91m
ca-certificates-2019 | 145 KB | ########## | 100% [0m[91m
libgcc-ng-9.2.0 | 8.2 MB | | 0% [0m[91m
libgcc-ng-9.2.0 | 8.2 MB | ####9 | 49% [0m[91m
libgcc-ng-9.2.0 | 8.2 MB | #######7 | 77% [0m[91m
libgcc-ng-9.2.0 | 8.2 MB | #########5 | 96% [0m[91m
libgcc-ng-9.2.0 | 8.2 MB | ########## | 100% [0m[91m
libcblas-3.8.0 | 10 KB | | 0% [0m[91m
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setuptools-45.2.0 | 653 KB | | 0% [0m[91m
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certifi-2019.11.28 | 149 KB | | 0% [0m[91m
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libblas-3.8.0 | 10 KB | | 0% [0m[91m
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numpy-1.18.1 | 5.2 MB | | 0% [0m[91m
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numpy-1.18.1 | 5.2 MB | ########## | 100% [0m[91m
readline-6.2 | 713 KB | | 0% [0m[91m
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readline-6.2 | 713 KB | ########## | 100% [0m[91m
python-3.6.2 | 19.0 MB | | 0% [0m[91m
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python-3.6.2 | 19.0 MB | #####3 | 53% [0m[91m
python-3.6.2 | 19.0 MB | #######5 | 75% [0m[91m
python-3.6.2 | 19.0 MB | ########9 | 89% [0m[91m
python-3.6.2 | 19.0 MB | #########8 | 99% [0m[91m
python-3.6.2 | 19.0 MB | ########## | 100% [0m[91m
pip-20.0.2 | 1.0 MB | | 0% [0m[91m
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xz-5.2.4 | 366 KB | | 0% [0m[91m
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sqlite-3.13.0 | 4.9 MB | | 0% [0m[91m
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sqlite-3.13.0 | 4.9 MB | #########7 | 98% [0m[91m
sqlite-3.13.0 | 4.9 MB | ########## | 100% [0m[91m
joblib-0.14.1 | 198 KB | | 0% [0m[91m
joblib-0.14.1 | 198 KB | ########## | 100% [0m
Downloading and Extracting Packages
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working...
done
[91mERROR: Invalid requirement: 'azureml-defaults 1.0.45' (from line 2 of /azureml-environment-setup/condaenv.07uqp7tw.requirements.txt)
[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_f7bdb7945ed8606d963cd2fc691ee724 -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
2020/02/19 12:33:49 Container failed during run: acb_step_0. No retries remaining.
failed to run step ID: acb_step_0: exit status 1
Run ID: cj4 failed after 1m56s. Error: failed during run, err: exit status 1
请在面对此问题时为我提出一个最佳解决方案。
关于， -艾哈迈德