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                                            Yang

multi model serving IsADirectoryError: [Errno 21] Is a directory: '/mnt/models'

@adriangonz No, I was not able to make it work with this workaround. seldon-core-operator-1.14.0, I had to specify an image otherwise I got this error `Deployment.apps "multi-model-default-0-model-multi" is invalid: spec.template.spec.containers[0].image:...

multi model serving IsADirectoryError: [Errno 21] Is a directory: '/mnt/models'

hey @adriangonz I tried this config got the same error.

multi model serving IsADirectoryError: [Errno 21] Is a directory: '/mnt/models'

Hey @adriangonz The file I'm using: ``` apiVersion: machinelearning.seldon.io/v1 kind: SeldonDeployment metadata: name: multi-model namespace: seldon spec: protocol: v2 name: multi-model predictors: - graph: type: MODEL implementation: SKLEARN_SERVER modelUri: gs:///MODELS/MultiModel...

multi model serving IsADirectoryError: [Errno 21] Is a directory: '/mnt/models'

@adriangonz after updating configmap, I'm still able to reproduce this error with the default SKLEARN_SERVER. `"SKLEARN_SERVER":{"protocols":{"seldon":{"defaultImageVersion":"1.14.1","image":"seldonio/sklearnserver"},"v2":{"defaultImageVersion":"1.1.0-sklearn","image":"seldonio/mlserver"}}}` ``` apiVersion: v1 data: credentials: '{"gcs":{"gcsCredentialFileName":"gcloud-application-credentials.json"},"s3":{"s3AccessKeyIDName":"awsAccessKeyID","s3SecretAccessKeyName":"awsSecretAccessKey"}}' explainer: '{"image":"seldonio/alibiexplainer:1.14.0","image_v2":"seldonio/mlserver:1.1.0-alibi-explain"}' predictor_servers: '{"SKLEARN_V_1_SERVER": {"protocols": {"seldon": {"defaultImageVersion": "1.14.0",...

multi model serving IsADirectoryError: [Errno 21] Is a directory: '/mnt/models'

hi @adriangonz I tried what you said but it still doesn't work, having the same issue.

multi model serving IsADirectoryError: [Errno 21] Is a directory: '/mnt/models'

Directory structure: ``` ├── IrisModel │ ├── model-settings.json │ └── model.joblib ├── RandomForestModel │ ├── model-settings.json │ └── model.joblib └── settings.json ``` Content of model-setting.json: ``` { "name": "IrisModel", "implementation":...

BUILD FAILED (OS X 12.4 using python-build 20180424): "/usr/local/include/stdbool.h:4:10: error: #include nested too deeply"

Thanks @native-api ! I removed everything from the ~/.pyenv directory except ~/.pyenv/versions, and checked in my ~/.bash_profile, there's no path about pyenv. and I tried again, now getting a new...

BUILD FAILED (OS X 12.4 using python-build 20180424): "/usr/local/include/stdbool.h:4:10: error: #include nested too deeply"

Hi @native-api I don't have /usr/local/opt/llvm/bin in my PATH nor in ~/.bash_profile. echo $PATH: /Users/yangcao/.poetry/bin:/usr/local/opt/[email protected]/bin:/usr/local/opt/[email protected]/libexec/bin:/usr/local/opt/sqlite/bin:/Users/yangcao/google-cloud-sdk/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/Apple/usr/bin

BUILD FAILED (OS X 12.4 using python-build 20180424): "/usr/local/include/stdbool.h:4:10: error: #include nested too deeply"

> @yc2984 What's `which clang`? `/usr/bin/clang` > If you don't have Homebrew LLVM installed -- where does `/usr/local/include/stdbool.h` come from? It looks broken since it includes itself. I'm not sure.

BUILD FAILED (OS X 12.4 using python-build 20180424): "/usr/local/include/stdbool.h:4:10: error: #include nested too deeply"

@native-api I tried re-installing homebrew, having a different error: ``` python-build: use [email protected] from homebrew python-build: use readline from homebrew Downloading Python-3.10.0.tar.xz... -> https://www.python.org/ftp/python/3.10.0/Python-3.10.0.tar.xz Installing Python-3.10.0... patching file aclocal.m4 patching...