python - 错误 conda.core.link :_execute(502): An error occurred while installing package 'conda-forge::astor-0.7.1-py_0'

Question

我正在尝试遵循 Python 教程，并且我已经能够执行几乎所有操作，直到使用 python 将端点部署到 Azure。

为了提供一些上下文，我已将脚本上传到我的 git 帐户: https://github.com/levalencia/MLTutorial

文件 1 和 2 工作得很好

但是文件 3 中的以下部分失败:

%%time
from azureml.core.webservice import Webservice
from azureml.core.model import InferenceConfig

inference_config = InferenceConfig(runtime= "python", 
                                   entry_script="score.py",
                                   conda_file="myenv.yml")

service = Model.deploy(workspace=ws, 
                       name='keras-mnist-svc2', 
                       models=[amlModel], 
                       inference_config=inference_config, 
                       deployment_config=aciconfig)

service.wait_for_deployment(show_output=True)

出现以下错误:

ERROR - Service deployment polling reached non-successful terminal state, current service state: Transitioning
Operation ID: 8353cad2-4218-450a-a03b-df418725acb1
More information can be found here: https://machinelearnin1143382465.blob.core.windows.net/azureml/ImageLogs/8353cad2-4218-450a-a03b-df418725acb1/build.log?sv=2018-03-28&sr=b&sig=UKzefxIrm3l7OsXxj%2FT4RsvUfAuhuaBwaz2P4mJu7vY%3D&st=2020-03-11T12%3A23%3A33Z&se=2020-03-11T20%3A28%3A33Z&sp=r
Error:
{
  "code": "EnvironmentBuildFailed",
  "statusCode": 400,
  "message": "Failed Building the Environment."
}

ERROR - Service deployment polling reached non-successful terminal state, current service state: Transitioning
Operation ID: 8353cad2-4218-450a-a03b-df418725acb1
More information can be found here: https://machinelearnin1143382465.blob.core.windows.net/azureml/ImageLogs/8353cad2-4218-450a-a03b-df418725acb1/build.log?sv=2018-03-28&sr=b&sig=UKzefxIrm3l7OsXxj%2FT4RsvUfAuhuaBwaz2P4mJu7vY%3D&st=2020-03-11T12%3A23%3A33Z&se=2020-03-11T20%3A28%3A33Z&sp=r
Error:
{
  "code": "EnvironmentBuildFailed",
  "statusCode": 400,
  "message": "Failed Building the Environment."
}

当我下载日志时，我得到了这个:

wheel-0.34.2         | 24 KB     |            |   0% [0m[91m
wheel-0.34.2         | 24 KB     | ########## | 100% [0m
Downloading and Extracting Packages
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... failed
[91m
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::astor-0.7.1-py_0'.
FileNotFoundError(2, "No such file or directory: '/azureml-envs/azureml_6abde325a12ccdba9b5ba76900b99b56/bin/python3.6'")
Attempting to roll back.

[0mRolling back transaction: ...working... done
[91m
FileNotFoundError(2, "No such file or directory: '/azureml-envs/azureml_6abde325a12ccdba9b5ba76900b99b56/bin/python3.6'")


[0mThe command '/bin/sh -c ldconfig /usr/local/cuda/lib64/stubs && conda env create -p /azureml-envs/azureml_6abde325a12ccdba9b5ba76900b99b56 -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
2020/03/11 12:28:11 Container failed during run: acb_step_0. No retries remaining.
failed to run step ID: acb_step_0: exit status 1

Run ID: cb3 failed after 2m21s. Error: failed during run, err: exit status 1

更新1:

我尝试运行: conda 列表 --name 基础 conda

在笔记本里，我得到了这个:

 # packages in environment at /anaconda:
    #
    # Name                    Version                   Build  Channel
    _anaconda_depends         2019.03                  py37_0  
    anaconda                  custom                   py37_1  
    anaconda-client           1.7.2                    py37_0  
    anaconda-navigator        1.9.6                    py37_0  
    anaconda-project          0.8.4                      py_0  
    conda                     4.8.2                    py37_0  
    conda-build               3.17.6                   py37_0  
    conda-env                 2.6.0                         1  
    conda-package-handling    1.6.0            py37h7b6447c_0  
    conda-verify              3.1.1                    py37_0  

    Note: you may need to restart the kernel to use updated packages.

但是在部署日志中我得到了这个:

Solving environment: ...working... 
done
[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

Answer 1

不幸的是，此版本的 Conda (4.5.11) 似乎存在问题。要完成本教程中的此任务，您只需将 Tensorflow 和 Keras 的依赖项更新为来自 pip 而不是 conda 即可。这对于生产环境来说不太理想，这是有原因的。 Azure ML documentation states :

"If your dependency is available through both Conda and pip (from PyPi), use the Conda version, as Conda packages typically come with pre-built binaries that make installation more reliable."

在这种情况下，如果您更新以下代码块:

from azureml.core.conda_dependencies import CondaDependencies 

myenv = CondaDependencies()
myenv.add_conda_package("tensorflow")
myenv.add_conda_package("keras")

with open("myenv.yml","w") as f:
    f.write(myenv.serialize_to_string())

# Review environment file
with open("myenv.yml","r") as f:
    print(f.read())

如下:

from azureml.core.conda_dependencies import CondaDependencies 

myenv = CondaDependencies()
myenv.add_pip_package("tensorflow==2.0.0")
myenv.add_pip_package("azureml-defaults")
myenv.add_pip_package("keras")

with open("myenv.yml", "w") as f:
    f.write(myenv.serialize_to_string())

with open("myenv.yml", "r") as f:
    print(f.read())

教程应该能够完成。更新完成后，如果其中任何内容对您不起作用，请告诉我。

我还向 Microsoft 报告了此问题(关于 Conda 版本)。