xwdreamer
commented
2 years ago I have the same problem
2022/05/23 13:32:03 Downloading source code...
2022/05/23 13:32:03 Finished downloading source code
2022/05/23 13:32:04 Creating Docker network: acb_default_network, driver: 'bridge'
2022/05/23 13:32:04 Successfully set up Docker network: acb_default_network
2022/05/23 13:32:04 Setting up Docker configuration...
2022/05/23 13:32:05 Successfully set up Docker configuration
2022/05/23 13:32:05 Logging in to registry: xwcontainerregistry.azurecr.io
2022/05/23 13:32:05 Successfully logged into xwcontainerregistry.azurecr.io
2022/05/23 13:32:05 Executing step ID: acb_step_0. Timeout(sec): 2400, Working directory: '', Network: 'acb_default_network'
2022/05/23 13:32:05 Scanning for dependencies...
2022/05/23 13:32:06 Successfully scanned dependencies
2022/05/23 13:32:06 Launching container with name: acb_step_0
Sending build context to Docker daemon 7.68kB
Step 1/10 : FROM mcr.microsoft.com/azureml/o16n-base/python-slim:latest.eastus2
latest.eastus2: Pulling from azureml/o16n-base/python-slim
6aa38bd67045: Pulling fs layer
981ae4862c05: Pulling fs layer
5bad8949dcb1: Pulling fs layer
ca9461589e70: Pulling fs layer
da30bf94f216: Pulling fs layer
508d4e760323: Pulling fs layer
c785dbaf75c0: Pulling fs layer
da73aa82de8c: Pulling fs layer
f595f009527c: Pulling fs layer
d2c55b362c69: Pulling fs layer
e1ac8dd8db3c: Pulling fs layer
c95cd6e6a805: Pulling fs layer
1e2265b70e28: Pulling fs layer
543dc14fadcc: Pulling fs layer
5a90d679e7e5: Pulling fs layer
d24c0a0ef9ed: Pulling fs layer
7562a65e8d36: Pulling fs layer
a402a8e2251e: Pulling fs layer
4655454b94cb: Pulling fs layer
756671b36aca: Pulling fs layer
b0727ea502a6: Pulling fs layer
54c722b59767: Pulling fs layer
6b9f2fe9deb1: Pulling fs layer
b899dfaace8a: Pulling fs layer
ef6febcdba9f: Pulling fs layer
ca9461589e70: Waiting
da30bf94f216: Waiting
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c785dbaf75c0: Waiting
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5bad8949dcb1: Verifying Checksum
5bad8949dcb1: Download complete
981ae4862c05: Verifying Checksum
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ca9461589e70: Verifying Checksum
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c785dbaf75c0: Verifying Checksum
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f595f009527c: Verifying Checksum
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c95cd6e6a805: Verifying Checksum
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543dc14fadcc: Verifying Checksum
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e1ac8dd8db3c: Download complete
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d24c0a0ef9ed: Verifying Checksum
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7562a65e8d36: Verifying Checksum
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4655454b94cb: Verifying Checksum
4655454b94cb: Download complete
756671b36aca: Verifying Checksum
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a402a8e2251e: Verifying Checksum
a402a8e2251e: Download complete
b0727ea502a6: Verifying Checksum
b0727ea502a6: Download complete
54c722b59767: Verifying Checksum
54c722b59767: Download complete
6b9f2fe9deb1: Verifying Checksum
6b9f2fe9deb1: Download complete
b899dfaace8a: Verifying Checksum
b899dfaace8a: Download complete
ef6febcdba9f: Verifying Checksum
ef6febcdba9f: Download complete
6aa38bd67045: Pull complete
981ae4862c05: Pull complete
5bad8949dcb1: Pull complete
ca9461589e70: Pull complete
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543dc14fadcc: Pull complete
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d24c0a0ef9ed: Pull complete
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a402a8e2251e: Pull complete
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756671b36aca: Pull complete
b0727ea502a6: Pull complete
54c722b59767: Pull complete
6b9f2fe9deb1: Pull complete
b899dfaace8a: Pull complete
ef6febcdba9f: Pull complete
Digest: sha256:572f3731011216f931d42c759ce7fd9f082f6461ef2d708cefeddc28d47cfd90
Status: Downloaded newer image for mcr.microsoft.com/azureml/o16n-base/python-slim:latest.eastus2
---> cbf3b83880b7
Step 2/10 : ENV AZUREML_MODEL_DIR=/var/azureml-app/azureml-models/AutoMLa1e204b538/1
---> Running in ddc4f03dee7f
Removing intermediate container ddc4f03dee7f
---> 407829a5e434
Step 3/10 : RUN mkdir -p '/var/azureml-app' && /var/azureml-util/download_asset.sh 'https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/455d774c/tmp00jcnoks.py?sv=2019-07-07&sr=b&sig=k8fY3RsxWaJIgjukNCpV1gYso7%2FtItiUKbzCTS%2Bu7WA%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r' '/var/azureml-app/tmp00jcnoks.py' && /var/azureml-util/download_asset.sh 'https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/ee114002/a584616f.tar.gz?sv=2019-07-07&sr=b&sig=de2JSOzkaGUt%2FhlXv6YOqZFMUhocmYKtGGOuOxD5PtY%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r' /tmp/temp.tar.gz && tar xzf /tmp/temp.tar.gz -C '/var/azureml-app' && rm -f /tmp/temp.tar.gz && /var/azureml-util/download_asset.sh 'https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/c3de99cf/requirements970y5ovo.txt?sv=2019-07-07&sr=b&sig=rgtvMrmuDF7r%2FnwitSt7IGth2d%2F%2FP4ueinzvHphEQXo%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r' '/var/azureml-app/requirements970y5ovo.txt' && /var/azureml-util/download_asset.sh 'https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/794663b4/myenv.yml?sv=2019-07-07&sr=b&sig=L62MSKGbvJInWWFCpAFVxWXgr4vazY3Mm7elt705TYQ%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r' '/var/azureml-app/myenv.yml'
---> Running in d5565dfbe3b6
Downloading https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/455d774c/tmp00jcnoks.py?sv=2019-07-07&sr=b&sig=k8fY3RsxWaJIgjukNCpV1gYso7%2FtItiUKbzCTS%2Bu7WA%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r as /var/azureml-app/tmp00jcnoks.py
[91m--2022-05-23 13:32:20-- https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/455d774c/tmp00jcnoks.py?sv=2019-07-07&sr=b&sig=k8fY3RsxWaJIgjukNCpV1gYso7%2FtItiUKbzCTS%2Bu7WA%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r
[0m[91mResolving storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)... [0m[91m20.60.133.132
Connecting to storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)|20.60.133.132|:443... [0m[91mconnected.
[0m[91mHTTP request sent, awaiting response... [0m[91m200 OK
Length: 1064 (1.0K) [application/octet-stream]
[0m[91mSaving to: ‘/var/azureml-app/tmp00jcnoks.py’
[0m[91m
0K[0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m 100% 23.9M=0s
2022-05-23 13:32:20 (23.9 MB/s) - ‘/var/azureml-app/tmp00jcnoks.py’ saved [1064/1064]
[0mDownloading https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/ee114002/a584616f.tar.gz?sv=2019-07-07&sr=b&sig=de2JSOzkaGUt%2FhlXv6YOqZFMUhocmYKtGGOuOxD5PtY%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r as /tmp/temp.tar.gz
[91m--2022-05-23 13:32:20-- https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/ee114002/a584616f.tar.gz?sv=2019-07-07&sr=b&sig=de2JSOzkaGUt%2FhlXv6YOqZFMUhocmYKtGGOuOxD5PtY%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r
[0m[91mResolving storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)... [0m[91m20.60.133.132
Connecting to storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)|20.60.133.132|:443... [0m[91mconnected.
[0m[91mHTTP request sent, awaiting response... [0m[91m200 OK
Length: 831 [application/octet-stream]
Saving to: ‘/tmp/temp.tar.gz’
[0m[91m
0K[0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m [0m[91m 100% 137M=0s
2022-05-23 13:32:20 (137 MB/s) - ‘/tmp/temp.tar.gz’ saved [831/831]
[0mDownloading https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/c3de99cf/requirements970y5ovo.txt?sv=2019-07-07&sr=b&sig=rgtvMrmuDF7r%2FnwitSt7IGth2d%2F%2FP4ueinzvHphEQXo%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r as /var/azureml-app/requirements970y5ovo.txt
[91m--2022-05-23 13:32:20-- https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/c3de99cf/requirements970y5ovo.txt?sv=2019-07-07&sr=b&sig=rgtvMrmuDF7r%2FnwitSt7IGth2d%2F%2FP4ueinzvHphEQXo%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r
[0m[91mResolving storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)... [0m[91m20.60.133.132
Connecting to storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)|20.60.133.132|:443... [0m[91mconnected.
[0m[91mHTTP request sent, awaiting response... [0m[91m200 OK
Length: 43 [application/octet-stream]
[0m[91mSaving to: ‘/var/azureml-app/requirements970y5ovo.txt’
[0m[91m
0K [0m[91m 100% 6.61M=0s
[0m[91m2022-05-23 13:32:20 (6.61 MB/s) - ‘/var/azureml-app/requirements970y5ovo.txt’ saved [43/43]
[0mDownloading https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/794663b4/myenv.yml?sv=2019-07-07&sr=b&sig=L62MSKGbvJInWWFCpAFVxWXgr4vazY3Mm7elt705TYQ%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r as /var/azureml-app/myenv.yml
[91m--2022-05-23 13:32:20-- https://storageavaxw.blob.core.windows.net/azureml/LocalUpload/794663b4/myenv.yml?sv=2019-07-07&sr=b&sig=L62MSKGbvJInWWFCpAFVxWXgr4vazY3Mm7elt705TYQ%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r
[0m[91mResolving storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)... [0m[91m20.60.133.132
Connecting to storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)|20.60.133.132|:443... [0m[91mconnected.
[0m[91mHTTP request sent, awaiting response... [0m[91m200 OK
Length: 615 [application/octet-stream]
Saving to: ‘/var/azureml-app/myenv.yml’
[0m[91m
0K 100% 140M=0s
[0m[91m2022-05-23 13:32:20 (140 MB/s) - ‘/var/azureml-app/myenv.yml’ saved [615/615]
[0mRemoving intermediate container d5565dfbe3b6
---> 7163c36bb735
Step 4/10 : RUN mkdir -p '/var/azureml-app/azureml-models/AutoMLa1e204b538/1' && /var/azureml-util/download_asset.sh 'https://storageavaxw.blob.core.windows.net/azureml/ExperimentRun/dcid.AutoML_a1e204b5-3e88-41cc-80ad-cef98113b2a8_8/outputs/model.pkl?sv=2019-07-07&sr=b&sig=yuAd6wLGGgIs3f5uQs3ah3SHeC0FmD6dXCYBjlotJIU%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r' '/var/azureml-app/azureml-models/AutoMLa1e204b538/1/model.pkl'
---> Running in 02fcec300313
Downloading https://storageavaxw.blob.core.windows.net/azureml/ExperimentRun/dcid.AutoML_a1e204b5-3e88-41cc-80ad-cef98113b2a8_8/outputs/model.pkl?sv=2019-07-07&sr=b&sig=yuAd6wLGGgIs3f5uQs3ah3SHeC0FmD6dXCYBjlotJIU%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r as /var/azureml-app/azureml-models/AutoMLa1e204b538/1/model.pkl
[91m--2022-05-23 13:32:21-- https://storageavaxw.blob.core.windows.net/azureml/ExperimentRun/dcid.AutoML_a1e204b5-3e88-41cc-80ad-cef98113b2a8_8/outputs/model.pkl?sv=2019-07-07&sr=b&sig=yuAd6wLGGgIs3f5uQs3ah3SHeC0FmD6dXCYBjlotJIU%3D&skoid=b68cdb1f-c8c0-43d4-a6c4-dd8a127e6166&sktid=2aeae095-2e7e-4c8c-ace1-b2c9115b865f&skt=2022-05-23T10%3A13%3A23Z&ske=2022-05-24T18%3A23%3A23Z&sks=b&skv=2019-07-07&st=2022-05-23T13%3A22%3A01Z&se=2022-05-23T21%3A32%3A01Z&sp=r
[0m[91mResolving storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)... [0m[91m20.60.133.132
Connecting to storageavaxw.blob.core.windows.net (storageavaxw.blob.core.windows.net)|20.60.133.132|:443... [0m[91mconnected.
[0m[91mHTTP request sent, awaiting response... [0m[91m200 OK
Length: 3351445 (3.2M) [application/octet-stream]
Saving to: ‘/var/azureml-app/azureml-models/AutoMLa1e204b538/1/model.pkl’
[0m[91m
0K .[0m[91m.[0m[91m.[0m[91m [0m[91m100% 157M=0.02s
[0m[91m2022-05-23 13:32:21 (157 MB/s) - ‘/var/azureml-app/azureml-models/AutoMLa1e204b538/1/model.pkl’ saved [3351445/3351445]
[0mRemoving intermediate container 02fcec300313
---> af607ad03ef1
Step 5/10 : RUN mkdir -p '/var/azureml-app' && echo 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 | base64 --decode > /var/azureml-app/model_config_map.json
---> Running in 213de3f3c6b4
Removing intermediate container 213de3f3c6b4
---> f92f6d30b80f
Step 6/10 : RUN mv '/var/azureml-app/tmp00jcnoks.py' /var/azureml-app/main.py
---> Running in 8d02c16f747c
Removing intermediate container 8d02c16f747c
---> a3956d2a8c98
Step 7/10 : RUN sed -i '/^\s*-\s*python\s*[<>=]/d' '/var/azureml-app/myenv.yml' && cat '/var/azureml-app/myenv.yml'
---> Running in 9e96fd56faa2
# Conda environment specification. The dependencies defined in this file will
# be automatically provisioned for runs with userManagedDependencies=False.
# Details about the Conda environment file format:
# https://conda.io/docs/user-guide/tasks/manage-environments.html#create-env-file-manually
name: project_environment
dependencies:
# The python interpreter version.
# Currently Azure ML only supports 3.5.2 and later.
- pip:
- azureml-automl-core
- azureml-core
- azureml-train-core
- azureml-train-automl
- numpy
- scikit-learn
- pandas
- psutil
channels:
- anaconda
- conda-forgeRemoving intermediate container 9e96fd56faa2
---> 4c85d4983ed2
Step 8/10 : RUN CONDA_ROOT_DIR=$(conda info --root) && if [ -n "$AZUREML_CONDA_ENVIRONMENT_PATH" ]; then conda env update -p "$AZUREML_CONDA_ENVIRONMENT_PATH" -f '/var/azureml-app/myenv.yml'; else conda env update -n base -f '/var/azureml-app/myenv.yml'; fi && conda clean -aqy && rm -rf /root/.cache/pip && rm -rf "$CONDA_ROOT_DIR/pkgs" && find "$CONDA_ROOT_DIR" -type d -name __pycache__ -exec rm -rf {} +
---> Running in 9337152595d8
Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies. Conda may not use the correct pip to install your packages, and they may end up in the wrong place. Please add an explicit pip dependency. I'm adding one for you, but still nagging you.
Collecting package metadata: ...working...
done
Solving environment: ...working...
done
Downloading and Extracting Packages
ca-certificates-2022 | 132 KB | | 0%
ca-certificates-2022 | 132 KB | ########## | 100%
certifi-2021.5.30 | 141 KB | | 0%
certifi-2021.5.30 | 141 KB | ########## | 100%
scikit-learn-0.24.2 | 7.1 MB | | 0%
scikit-learn-0.24.2 | 7.1 MB | ##4 | 25%
scikit-learn-0.24.2 | 7.1 MB | #######6 | 76%
scikit-learn-0.24.2 | 7.1 MB | #########5 | 96%
scikit-learn-0.24.2 | 7.1 MB | ########## | 100%
mkl_fft-1.3.0 | 185 KB | | 0%
mkl_fft-1.3.0 | 185 KB | ########## | 100%
blas-1.0 | 6 KB | | 0%
blas-1.0 | 6 KB | ########## | 100%
numpy-1.19.2 | 21 KB | | 0%
numpy-1.19.2 | 21 KB | ########## | 100%
pytz-2021.3 | 224 KB | | 0%
pytz-2021.3 | 224 KB | ########## | 100%
python-dateutil-2.8. | 241 KB | | 0%
python-dateutil-2.8. | 241 KB | ########## | 100%
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pip-21.2.2 | 2.1 MB | ########## | 100%
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mkl-2019.4 | 204.1 MB | ########## | 100%
psutil-5.8.0 | 342 KB | | 0%
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pandas-1.1.5 | 10.5 MB | | 0%
pandas-1.1.5 | 10.5 MB | ##1 | 21%
pandas-1.1.5 | 10.5 MB | ######6 | 66%
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scipy-1.5.2 | 18.5 MB | | 0%
scipy-1.5.2 | 18.5 MB | ###5 | 35%
scipy-1.5.2 | 18.5 MB | ######5 | 65%
scipy-1.5.2 | 18.5 MB | ########1 | 81%
scipy-1.5.2 | 18.5 MB | #########3 | 93%
scipy-1.5.2 | 18.5 MB | ########## | 100%
numpy-base-1.19.2 | 5.2 MB | | 0%
numpy-base-1.19.2 | 5.2 MB | ###2 | 32%
numpy-base-1.19.2 | 5.2 MB | #######6 | 76%
numpy-base-1.19.2 | 5.2 MB | #########4 | 95%
numpy-base-1.19.2 | 5.2 MB | ########## | 100%
threadpoolctl-2.2.0 | 16 KB | | 0%
threadpoolctl-2.2.0 | 16 KB | ########## | 100%
libgfortran4-7.5.0 | 1.3 MB | | 0%
libgfortran4-7.5.0 | 1.3 MB | ########4 | 84%
libgfortran4-7.5.0 | 1.3 MB | ########## | 100%
intel-openmp-2022.0. | 8.5 MB | | 0%
intel-openmp-2022.0. | 8.5 MB | #######5 | 75%
intel-openmp-2022.0. | 8.5 MB | #########7 | 98%
intel-openmp-2022.0. | 8.5 MB | ########## | 100%
joblib-1.0.1 | 207 KB | | 0%
joblib-1.0.1 | 207 KB | ########## | 100%
libgfortran-ng-7.5.0 | 22 KB | | 0%
libgfortran-ng-7.5.0 | 22 KB | ########## | 100%
mkl-service-2.3.0 | 56 KB | | 0%
mkl-service-2.3.0 | 56 KB | ########## | 100%
openssl-1.1.1n | 3.8 MB | | 0%
openssl-1.1.1n | 3.8 MB | #######7 | 77%
openssl-1.1.1n | 3.8 MB | #########7 | 98%
openssl-1.1.1n | 3.8 MB | ########## | 100%
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... b'\n\n Installed package of scikit-learn can be accelerated using scikit-learn-intelex.\n More details are available here: https://intel.github.io/scikit-learn-intelex\n\n For example:\n\n $ conda install scikit-learn-intelex\n $ python -m sklearnex my_application.py\n\n \n'
done
Ran pip subprocess with arguments:
['/opt/miniconda/bin/python', '-m', 'pip', 'install', '-U', '-r', '/var/azureml-app/condaenv.lyb5ijpz.requirements.txt']
Pip subprocess output:
Collecting azureml-automl-core
Downloading azureml_automl_core-1.41.1.post1-py3-none-any.whl (238 kB)
Collecting azureml-core
Downloading azureml_core-1.41.0.post3-py3-none-any.whl (2.7 MB)
Collecting azureml-train-core
Downloading azureml_train_core-1.41.0-py3-none-any.whl (8.6 MB)
Collecting azureml-train-automl
Downloading azureml_train_automl-1.41.0-py3-none-any.whl (3.5 kB)
Collecting azureml-dataset-runtime~=1.41.0
Downloading azureml_dataset_runtime-1.41.0-py3-none-any.whl (3.5 kB)
Collecting azureml-telemetry~=1.41.0
Downloading azureml_telemetry-1.41.0-py3-none-any.whl (31 kB)
Collecting backports.tempfile
Downloading backports.tempfile-1.0-py2.py3-none-any.whl (4.4 kB)
Collecting humanfriendly<11.0,>=4.7
Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)
Collecting msal-extensions<0.4,>=0.3.0
Downloading msal_extensions-0.3.1-py2.py3-none-any.whl (18 kB)
Collecting contextlib2<22.0.0
Downloading contextlib2-21.6.0-py2.py3-none-any.whl (13 kB)
Requirement already satisfied: python-dateutil<3.0.0,>=2.7.3 in /opt/miniconda/lib/python3.6/site-packages (from azureml-core->-r /var/azureml-app/condaenv.lyb5ijpz.requirements.txt (line 2)) (2.8.2)
Collecting pathspec<1.0.0
Downloading pathspec-0.9.0-py2.py3-none-any.whl (31 kB)
Requirement already satisfied: pytz in /opt/miniconda/lib/python3.6/site-packages (from azureml-core->-r /var/azureml-app/condaenv.lyb5ijpz.requirements.txt (line 2)) (2021.3)
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 adal<=1.2.7,>=1.2.0
Downloading adal-1.2.7-py2.py3-none-any.whl (55 kB)
Collecting azure-graphrbac<1.0.0,>=0.40.0
Downloading azure_graphrbac-0.61.1-py2.py3-none-any.whl (141 kB)
Collecting azure-mgmt-resource<21.0.0,>=15.0.0
Downloading azure_mgmt_resource-20.1.0-py3-none-any.whl (2.3 MB)
Collecting azure-mgmt-containerregistry<10,>=8.2.0
Downloading azure_mgmt_containerregistry-9.1.0-py3-none-any.whl (1.1 MB)
Collecting packaging<22.0,>=20.0
Downloading packaging-21.3-py3-none-any.whl (40 kB)
Requirement already satisfied: requests[socks]<3.0.0,>=2.19.1 in /opt/miniconda/lib/python3.6/site-packages (from azureml-core->-r /var/azureml-app/condaenv.lyb5ijpz.requirements.txt (line 2)) (2.21.0)
Requirement already satisfied: urllib3<=1.26.7,>=1.23 in /opt/miniconda/lib/python3.6/site-packages (from azureml-core->-r /var/azureml-app/condaenv.lyb5ijpz.requirements.txt (line 2)) (1.24.3)
Collecting msal<2.0.0,>=1.15.0
Downloading msal-1.17.0-py2.py3-none-any.whl (79 kB)
Collecting msrest<1.0.0,>=0.5.1
Downloading msrest-0.6.21-py2.py3-none-any.whl (85 kB)
Collecting azure-core<=1.22.1
Downloading azure_core-1.22.1-py3-none-any.whl (178 kB)
Collecting knack~=0.9.0
Downloading knack-0.9.0-py3-none-any.whl (59 kB)
Collecting msrestazure<=0.6.4,>=0.4.33
Downloading msrestazure-0.6.4-py2.py3-none-any.whl (40 kB)
Collecting argcomplete<3
Downloading argcomplete-2.0.0-py2.py3-none-any.whl (37 kB)
Requirement already satisfied: cryptography!=1.9,!=2.0.*,!=2.1.*,!=2.2.*,<37.0.0 in /opt/miniconda/lib/python3.6/site-packages (from azureml-core->-r /var/azureml-app/condaenv.lyb5ijpz.requirements.txt (line 2)) (2.9.2)
Collecting docker<6.0.0
Downloading docker-5.0.3-py2.py3-none-any.whl (146 kB)
Collecting ndg-httpsclient<=0.5.1
Downloading ndg_httpsclient-0.5.1-py3-none-any.whl (34 kB)
Requirement already satisfied: pyopenssl<23.0.0 in /opt/miniconda/lib/python3.6/site-packages (from azureml-core->-r /var/azureml-app/condaenv.lyb5ijpz.requirements.txt (line 2)) (19.1.0)
Collecting pkginfo
Downloading pkginfo-1.8.2-py2.py3-none-any.whl (26 kB)
Collecting azure-mgmt-storage<20.0.0,>=16.0.0
Downloading azure_mgmt_storage-19.1.0-py3-none-any.whl (1.8 MB)
Collecting paramiko<3.0.0,>=2.0.8
Downloading paramiko-2.11.0-py2.py3-none-any.whl (212 kB)
Collecting SecretStorage<4.0.0
Downloading SecretStorage-3.3.2-py3-none-any.whl (15 kB)
Collecting jmespath<1.0.0
Downloading jmespath-0.10.0-py2.py3-none-any.whl (24 kB)
Collecting jsonpickle<3.0.0
Downloading jsonpickle-2.2.0-py2.py3-none-any.whl (39 kB)
Collecting azure-mgmt-authorization<3,>=0.40.0
Downloading azure_mgmt_authorization-2.0.0-py2.py3-none-any.whl (465 kB)
Collecting PyJWT<3.0.0
Downloading PyJWT-2.4.0-py3-none-any.whl (18 kB)
Collecting azure-common<2.0.0,>=1.1.12
Downloading azure_common-1.1.28-py2.py3-none-any.whl (14 kB)
Collecting azureml-train-restclients-hyperdrive~=1.41.0
Downloading azureml_train_restclients_hyperdrive-1.41.0-py3-none-any.whl (19 kB)
Collecting azureml-train-automl-client~=1.41.0
Downloading azureml_train_automl_client-1.41.0-py3-none-any.whl (136 kB)
Collecting azureml-train-automl-runtime~=1.41.0
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Building wheels for collected packages: json-logging-py, bokeh, fusepy, shap, smart-open, wrapt, contextvars, fire, databricks-cli, termcolor
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Building wheel for wrapt (setup.py): finished with status 'done'
Created wheel for wrapt: filename=wrapt-1.12.1-py3-none-any.whl size=19553 sha256=aa2ece21598c5fe763b7a0703d4779fe14f53489e8dd64bb9d8bec0b91e14525
Stored in directory: /root/.cache/pip/wheels/32/42/7f/23cae9ff6ef66798d00dc5d659088e57dbba01566f6c60db63
Building wheel for contextvars (setup.py): started
Building wheel for contextvars (setup.py): finished with status 'done'
Created wheel for contextvars: filename=contextvars-2.4-py3-none-any.whl size=7664 sha256=5ea58114b5568e3ec8f2393c0544be1334887b5f088363e0b32c763503232a53
Stored in directory: /root/.cache/pip/wheels/41/11/53/911724983aa48deb94792432e14e518447212dd6c5477d49d3
Building wheel for fire (setup.py): started
Building wheel for fire (setup.py): finished with status 'done'
Created wheel for fire: filename=fire-0.4.0-py2.py3-none-any.whl size=115925 sha256=b0aa87cd1106e395d08631dad12891f464fc9d867ac29a1afecc4db0858e7534
Stored in directory: /root/.cache/pip/wheels/a6/12/74/ce0728e3990845862240349a12d7179a262e388ec73938024b
Building wheel for databricks-cli (setup.py): started
Building wheel for databricks-cli (setup.py): finished with status 'done'
Created wheel for databricks-cli: filename=databricks_cli-0.16.6-py3-none-any.whl size=112628 sha256=51883b67adb9c987a621e2f1711ebfaa38d578ed2a5ac44f45c0fe73f872a188
Stored in directory: /root/.cache/pip/wheels/68/76/52/8642fd2d5677e988a77b543279f7732ec5d1549bf4ee05c3c6
Building wheel for termcolor (setup.py): started
Building wheel for termcolor (setup.py): finished with status 'done'
Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4830 sha256=633eee8ee326a62ecdffd0345bccc969eb2d224cea31be17affa1c8492614ca9
Stored in directory: /root/.cache/pip/wheels/93/2a/eb/e58dbcbc963549ee4f065ff80a59f274cc7210b6eab962acdc
Successfully built json-logging-py bokeh fusepy smart-open wrapt contextvars fire databricks-cli termcolor
Failed to build shap
Installing collected packages: urllib3, charset-normalizer, requests, PyJWT, oauthlib, cryptography, zipp, typing-extensions, requests-oauthlib, pyasn1, jmespath, isodate, rsa, pyasn1-modules, protobuf, portalocker, msrest, msal, importlib-metadata, immutables, cachetools, botocore, azure-core, adal, websocket-client, termcolor, tabulate, s3transfer, pyyaml, pyparsing, pynacl, pygments, onnx, msrestazure, msal-extensions, joblib, jeepney, googleapis-common-protos, google-auth, distro, contextvars, bcrypt, backports.weakref, azure-mgmt-core, azure-common, argcomplete, smmap, SecretStorage, scikit-learn, pkginfo, patsy, pathspec, paramiko, packaging, opencensus-context, onnxconverter-common, ndg-httpsclient, llvmlite, knack, jsonpickle, importlib-resources, humanfriendly, google-api-core, fire, dotnetcore2, docker, contextlib2, cloudpickle, boto3, boto, backports.tempfile, azureml-dataprep-rslex, azureml-dataprep-native, azure-mgmt-storage, azure-mgmt-resource, azure-mgmt-keyvault, azure-mgmt-containerregistry, azure-mgmt-authorization, azure-identity, azure-graphrbac, wrapt, tqdm, statsmodels, smart-open, slicer, skl2onnx, pyarrow, opencensus, numba, keras2onnx, interpret-core, heapdict, gitdb, flatbuffers, Cython, azureml-dataprep, azureml-core, zict, tornado, toolz, tblib, sortedcontainers, sklearn-pandas, shap, pmdarima, pillow, opencensus-ext-azure, onnxruntime, onnxmltools, nimbusml, msgpack, ml-wrappers, locket, lightgbm, inference-schema, gunicorn, gitpython, gensim, fusepy, flask, entrypoints, dill, dataclasses, databricks-cli, dask, azureml-train-restclients-hyperdrive, azureml-telemetry, azureml-dataset-runtime, partd, mlflow-skinny, json-logging-py, interpret-community, fsspec, distributed, configparser, bokeh, azureml-training-tabular, azureml-train-core, azureml-inference-server-http, azureml-automl-core, azureml-train-automl-client, azureml-mlflow, azureml-interpret, azureml-defaults, azureml-automl-runtime, azure-storage-queue, azureml-train-automl-runtime, azureml-train-automl
Attempting uninstall: urllib3
Found existing installation: urllib3 1.24.3
Uninstalling urllib3-1.24.3:
Successfully uninstalled urllib3-1.24.3
Attempting uninstall: requests
Found existing installation: requests 2.21.0
Uninstalling requests-2.21.0:
Successfully uninstalled requests-2.21.0
Attempting uninstall: cryptography
Found existing installation: cryptography 2.9.2
Uninstalling cryptography-2.9.2:
Successfully uninstalled cryptography-2.9.2
Attempting uninstall: protobuf
Found existing installation: protobuf 3.12.2
Uninstalling protobuf-3.12.2:
Successfully uninstalled protobuf-3.12.2
Attempting uninstall: joblib
Found existing installation: joblib 1.0.1
Uninstalling joblib-1.0.1:
Successfully uninstalled joblib-1.0.1
Attempting uninstall: scikit-learn
Found existing installation: scikit-learn 0.24.2
Uninstalling scikit-learn-0.24.2:
Successfully uninstalled scikit-learn-0.24.2
Running setup.py install for shap: started
Running setup.py install for shap: finished with status 'error'
Pip subprocess error:
ERROR: Command errored out with exit status 1:
command: /opt/miniconda/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/setup.py'"'"'; __file__='"'"'/tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-tcfbgbf3
cwd: /tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/
Complete output (119 lines):
The nvcc binary could not be located in your $PATH. Either add it to your path, or set $CUDAHOME to enable CUDA
Error building cuda module: TypeError("'NoneType' object is not iterable",)
WARNING: Could not compile cuda extensions
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/shap
copying shap/datasets.py -> build/lib.linux-x86_64-3.6/shap
copying shap/_serializable.py -> build/lib.linux-x86_64-3.6/shap
copying shap/_explanation.py -> build/lib.linux-x86_64-3.6/shap
copying shap/links.py -> build/lib.linux-x86_64-3.6/shap
copying shap/__init__.py -> build/lib.linux-x86_64-3.6/shap
creating build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/tf_utils.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_gradient.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_kernel.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_sampling.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_permutation.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_additive.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/pytree.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_explainer.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_tree.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_exact.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_partition.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_linear.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_gpu_tree.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/__init__.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/mimic.py -> build/lib.linux-x86_64-3.6/shap/explainers
creating build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_coefficent.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_lime.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_maple.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_treegain.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_random.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/__init__.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
creating build/lib.linux-x86_64-3.6/shap/explainers/_deep
copying shap/explainers/_deep/deep_pytorch.py -> build/lib.linux-x86_64-3.6/shap/explainers/_deep
copying shap/explainers/_deep/deep_tf.py -> build/lib.linux-x86_64-3.6/shap/explainers/_deep
copying shap/explainers/_deep/__init__.py -> build/lib.linux-x86_64-3.6/shap/explainers/_deep
creating build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_decision.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_waterfall.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_heatmap.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_partial_dependence.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_labels.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_embedding.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_image.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_bar.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_beeswarm.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_scatter.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_force_matplotlib.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_group_difference.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_force.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_utils.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_monitoring.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/__init__.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_text.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_violin.py -> build/lib.linux-x86_64-3.6/shap/plots
creating build/lib.linux-x86_64-3.6/shap/plots/colors
copying shap/plots/colors/_colorconv.py -> build/lib.linux-x86_64-3.6/shap/plots/colors
copying shap/plots/colors/_colors.py -> build/lib.linux-x86_64-3.6/shap/plots/colors
copying shap/plots/colors/__init__.py -> build/lib.linux-x86_64-3.6/shap/plots/colors
creating build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/plots.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/perturbation.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/methods.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/experiments.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/models.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/measures.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/metrics.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/framework.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/__init__.py -> build/lib.linux-x86_64-3.6/shap/benchmark
creating build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_tabular.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_masker.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_output_composite.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_image.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_fixed_composite.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/__init__.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_text.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_composite.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_fixed.py -> build/lib.linux-x86_64-3.6/shap/maskers
creating build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/transformers.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_legacy.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/image.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_masked_model.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_clustering.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_keras.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_general.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/__init__.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_show_progress.py -> build/lib.linux-x86_64-3.6/shap/utils
creating build/lib.linux-x86_64-3.6/shap/actions
copying shap/actions/_optimizer.py -> build/lib.linux-x86_64-3.6/shap/actions
copying shap/actions/_action.py -> build/lib.linux-x86_64-3.6/shap/actions
copying shap/actions/__init__.py -> build/lib.linux-x86_64-3.6/shap/actions
creating build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_text_generation.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_transformers_pipeline.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_model.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_topk_lm.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/__init__.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_teacher_forcing.py -> build/lib.linux-x86_64-3.6/shap/models
creating build/lib.linux-x86_64-3.6/shap/plots/resources
copying shap/plots/resources/logoSmallGray.png -> build/lib.linux-x86_64-3.6/shap/plots/resources
copying shap/plots/resources/bundle.js -> build/lib.linux-x86_64-3.6/shap/plots/resources
creating build/lib.linux-x86_64-3.6/shap/cext
copying shap/cext/tree_shap.h -> build/lib.linux-x86_64-3.6/shap/cext
running build_ext
numpy.get_include() /opt/miniconda/lib/python3.6/site-packages/numpy/core/include
building 'shap._cext' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/shap
creating build/temp.linux-x86_64-3.6/shap/cext
gcc -pthread -B /opt/miniconda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/miniconda/include/python3.6m -I/opt/miniconda/lib/python3.6/site-packages/numpy/core/include -c shap/cext/_cext.cc -o build/temp.linux-x86_64-3.6/shap/cext/_cext.o
unable to execute 'gcc': No such file or directory
error: command 'gcc' failed with exit status 1
----------------------------------------
ERROR: Failed building wheel for shap
ERROR: Command errored out with exit status 1:
command: /opt/miniconda/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/setup.py'"'"'; __file__='"'"'/tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-upmfsaw_/install-record.txt --single-version-externally-managed --compile --install-headers /opt/miniconda/include/python3.6m/shap
cwd: /tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/
Complete output (119 lines):
The nvcc binary could not be located in your $PATH. Either add it to your path, or set $CUDAHOME to enable CUDA
Error building cuda module: TypeError("'NoneType' object is not iterable",)
WARNING: Could not compile cuda extensions
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/shap
copying shap/datasets.py -> build/lib.linux-x86_64-3.6/shap
copying shap/_serializable.py -> build/lib.linux-x86_64-3.6/shap
copying shap/_explanation.py -> build/lib.linux-x86_64-3.6/shap
copying shap/links.py -> build/lib.linux-x86_64-3.6/shap
copying shap/__init__.py -> build/lib.linux-x86_64-3.6/shap
creating build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/tf_utils.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_gradient.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_kernel.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_sampling.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_permutation.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_additive.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/pytree.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_explainer.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_tree.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_exact.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_partition.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_linear.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/_gpu_tree.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/__init__.py -> build/lib.linux-x86_64-3.6/shap/explainers
copying shap/explainers/mimic.py -> build/lib.linux-x86_64-3.6/shap/explainers
creating build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_coefficent.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_lime.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_maple.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_treegain.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/_random.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
copying shap/explainers/other/__init__.py -> build/lib.linux-x86_64-3.6/shap/explainers/other
creating build/lib.linux-x86_64-3.6/shap/explainers/_deep
copying shap/explainers/_deep/deep_pytorch.py -> build/lib.linux-x86_64-3.6/shap/explainers/_deep
copying shap/explainers/_deep/deep_tf.py -> build/lib.linux-x86_64-3.6/shap/explainers/_deep
copying shap/explainers/_deep/__init__.py -> build/lib.linux-x86_64-3.6/shap/explainers/_deep
creating build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_decision.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_waterfall.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_heatmap.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_partial_dependence.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_labels.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_embedding.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_image.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_bar.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_beeswarm.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_scatter.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_force_matplotlib.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_group_difference.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_force.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_utils.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_monitoring.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/__init__.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_text.py -> build/lib.linux-x86_64-3.6/shap/plots
copying shap/plots/_violin.py -> build/lib.linux-x86_64-3.6/shap/plots
creating build/lib.linux-x86_64-3.6/shap/plots/colors
copying shap/plots/colors/_colorconv.py -> build/lib.linux-x86_64-3.6/shap/plots/colors
copying shap/plots/colors/_colors.py -> build/lib.linux-x86_64-3.6/shap/plots/colors
copying shap/plots/colors/__init__.py -> build/lib.linux-x86_64-3.6/shap/plots/colors
creating build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/plots.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/perturbation.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/methods.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/experiments.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/models.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/measures.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/metrics.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/framework.py -> build/lib.linux-x86_64-3.6/shap/benchmark
copying shap/benchmark/__init__.py -> build/lib.linux-x86_64-3.6/shap/benchmark
creating build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_tabular.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_masker.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_output_composite.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_image.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_fixed_composite.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/__init__.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_text.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_composite.py -> build/lib.linux-x86_64-3.6/shap/maskers
copying shap/maskers/_fixed.py -> build/lib.linux-x86_64-3.6/shap/maskers
creating build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/transformers.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_legacy.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/image.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_masked_model.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_clustering.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_keras.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_general.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/__init__.py -> build/lib.linux-x86_64-3.6/shap/utils
copying shap/utils/_show_progress.py -> build/lib.linux-x86_64-3.6/shap/utils
creating build/lib.linux-x86_64-3.6/shap/actions
copying shap/actions/_optimizer.py -> build/lib.linux-x86_64-3.6/shap/actions
copying shap/actions/_action.py -> build/lib.linux-x86_64-3.6/shap/actions
copying shap/actions/__init__.py -> build/lib.linux-x86_64-3.6/shap/actions
creating build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_text_generation.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_transformers_pipeline.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_model.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_topk_lm.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/__init__.py -> build/lib.linux-x86_64-3.6/shap/models
copying shap/models/_teacher_forcing.py -> build/lib.linux-x86_64-3.6/shap/models
creating build/lib.linux-x86_64-3.6/shap/plots/resources
copying shap/plots/resources/logoSmallGray.png -> build/lib.linux-x86_64-3.6/shap/plots/resources
copying shap/plots/resources/bundle.js -> build/lib.linux-x86_64-3.6/shap/plots/resources
creating build/lib.linux-x86_64-3.6/shap/cext
copying shap/cext/tree_shap.h -> build/lib.linux-x86_64-3.6/shap/cext
running build_ext
numpy.get_include() /opt/miniconda/lib/python3.6/site-packages/numpy/core/include
building 'shap._cext' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/shap
creating build/temp.linux-x86_64-3.6/shap/cext
gcc -pthread -B /opt/miniconda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/miniconda/include/python3.6m -I/opt/miniconda/lib/python3.6/site-packages/numpy/core/include -c shap/cext/_cext.cc -o build/temp.linux-x86_64-3.6/shap/cext/_cext.o
unable to execute 'gcc': No such file or directory
error: command 'gcc' failed with exit status 1
----------------------------------------
ERROR: Command errored out with exit status 1: /opt/miniconda/bin/python -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/setup.py'"'"'; __file__='"'"'/tmp/pip-install-yiqic3hr/shap_f5d98eaf45ef4559a7c10041568288cd/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-upmfsaw_/install-record.txt --single-version-externally-managed --compile --install-headers /opt/miniconda/include/python3.6m/shap Check the logs for full command output.
[91m
CondaEnvException: Pip failed
[0m
The command '/bin/sh -c CONDA_ROOT_DIR=$(conda info --root) && if [ -n "$AZUREML_CONDA_ENVIRONMENT_PATH" ]; then conda env update -p "$AZUREML_CONDA_ENVIRONMENT_PATH" -f '/var/azureml-app/myenv.yml'; else conda env update -n base -f '/var/azureml-app/myenv.yml'; fi && conda clean -aqy && rm -rf /root/.cache/pip && rm -rf "$CONDA_ROOT_DIR/pkgs" && find "$CONDA_ROOT_DIR" -type d -name __pycache__ -exec rm -rf {} +' returned a non-zero code: 1
2022/05/23 13:37:42 Container failed during run: acb_step_0. No retries remaining.
failed to run step ID: acb_step_0: exit status 1
Run ID: ch8 failed after 5m40s. Error: failed during run, err: exit status 1
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