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Release 1.11.1
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4 changes: 2 additions & 2 deletions components/alibi-detect-server/Dockerfile
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@@ -1,8 +1,8 @@
# TODO: Add to release script
FROM docker.io/seldonio/seldon-core-s2i-python37-ubi8:1.11.1-dev
FROM docker.io/seldonio/seldon-core-s2i-python37-ubi8:1.11.1
LABEL name="Seldon Alibi Detect Server" \
vendor="Seldon Technologies" \
version="1.11.1-dev" \
version="1.11.1" \
release="1" \
summary="Alibi Detect Server for Seldon Core" \
description="The Alibi Detect Server provides outlier, drift and adversarial detection services for Seldon Core"
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4 changes: 2 additions & 2 deletions components/alibi-explain-server/Dockerfile
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@@ -1,8 +1,8 @@
ARG VERSION
FROM seldonio/seldon-core-s2i-python37-ubi8:1.11.1-dev
FROM seldonio/seldon-core-s2i-python37-ubi8:1.11.1
LABEL name="Seldon Alibi Wrapper" \
vendor="Seldon Technologies" \
version="1.11.1-dev" \
version="1.11.1" \
release="1" \
summary="Alibi Explainer Wrapper for Seldon Core" \
description="Allows Seldon Core inference models to run with a black box model explanation model from the Alibi:Explain project"
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2 changes: 1 addition & 1 deletion components/seldon-request-logger/Dockerfile
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@@ -1,7 +1,7 @@
FROM registry.access.redhat.com/ubi8/python-38
LABEL name="Seldon Request Logger" \
vendor="Seldon Technologies" \
version="1.11.1-dev" \
version="1.11.1" \
release="1" \
summary="The payload logger for Seldon Core" \
description="The Seldon Payload Logger allows request and response payloads from a Seldon Core inference graph to be processed and sent to an ELK endpoint"
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2 changes: 1 addition & 1 deletion components/storage-initializer/Dockerfile
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@@ -1,7 +1,7 @@
FROM registry.access.redhat.com/ubi8/python-36
LABEL name="Storage Initializer" \
vendor="Seldon Technologies" \
version="1.11.1-dev" \
version="1.11.1" \
release="1" \
summary="Storage Initializer for Seldon Core" \
description="Allows Seldon Core to download artifacts from cloud and local storage to a local volume"
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16 changes: 8 additions & 8 deletions doc/source/python/python_wrapping_s2i.md
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Expand Up @@ -17,7 +17,7 @@ If you are not familiar with s2i you can read [general instructions on using s2i
To check everything is working you can run

```bash
s2i usage seldonio/seldon-core-s2i-python3:1.11.1-dev
s2i usage seldonio/seldon-core-s2i-python3:1.11.1
```


Expand Down Expand Up @@ -98,22 +98,22 @@ See below for the possible keys and values for this file.
## Step 3 - Build your image
Use `s2i build` to create your Docker image from source code. You will need Docker installed on the machine and optionally git if your source code is in a public git repo. You can choose from three python builder images

* Python 3.6 : seldonio/seldon-core-s2i-python36:1.11.1-dev seldonio/seldon-core-s2i-python3:1.11.1-dev
* Python 3.6 : seldonio/seldon-core-s2i-python36:1.11.1 seldonio/seldon-core-s2i-python3:1.11.1
* Note there are [issues running TensorFlow under Python 3.7](https://github.com/tensorflow/tensorflow/issues/20444) (Nov 2018) and Python 3.7 is not officially supported by TensorFlow (Dec 2018).
* Python 3.6 plus ONNX support via [Intel nGraph](https://github.com/NervanaSystems/ngraph) : seldonio/seldon-core-s2i-python3-ngraph-onnx:0.1

Using s2i you can build directly from a git repo or from a local source folder. See the [s2i docs](https://github.com/openshift/source-to-image/blob/master/docs/cli.md#s2i-build) for further details. The general format is:

```bash
s2i build <src-folder> seldonio/seldon-core-s2i-python3:1.11.1-dev <my-image-name>
s2i build <src-folder> seldonio/seldon-core-s2i-python3:1.11.1 <my-image-name>
```

Change to seldonio/seldon-core-s2i-python3 if using python 3.

An example invocation using the test template model inside seldon-core:

```bash
s2i build https://github.com/seldonio/seldon-core.git --context-dir=wrappers/s2i/python/test/model-template-app seldonio/seldon-core-s2i-python3:1.11.1-dev seldon-core-template-model
s2i build https://github.com/seldonio/seldon-core.git --context-dir=wrappers/s2i/python/test/model-template-app seldonio/seldon-core-s2i-python3:1.11.1 seldon-core-template-model
```

The above s2i build invocation:
Expand All @@ -128,13 +128,13 @@ For building from a local source folder, an example where we clone the seldon-co
```bash
git clone https://github.com/seldonio/seldon-core.git
cd seldon-core
s2i build wrappers/s2i/python/test/model-template-app seldonio/seldon-core-s2i-python3:1.11.1-dev seldon-core-template-model
s2i build wrappers/s2i/python/test/model-template-app seldonio/seldon-core-s2i-python3:1.11.1 seldon-core-template-model
```

For more help see:

```bash
s2i usage seldonio/seldon-core-s2i-python3:1.11.1-dev
s2i usage seldonio/seldon-core-s2i-python3:1.11.1
s2i build --help
```

Expand Down Expand Up @@ -179,7 +179,7 @@ s2i build \
-e EXTRA_INDEX_URL=https://<pypi-user>:<pypi-auth>@mypypi.example.com/simple \
-e PIP_TRUSTED_HOST=mypypi.example.com \
<src-folder> \
seldonio/seldon-core-s2i-python3:1.11.1-dev \
seldonio/seldon-core-s2i-python3:1.11.1 \
<my-image-name>
```

Expand Down Expand Up @@ -271,7 +271,7 @@ The allowable `type` values for the parameters are defined in the [proto buffer
To use a private repository for installing Python dependencies use the following build command:

```bash
s2i build -i <python-wheel-folder>:/whl <src-folder> seldonio/seldon-core-s2i-python3:1.11.1-dev <my-image-name>
s2i build -i <python-wheel-folder>:/whl <src-folder> seldonio/seldon-core-s2i-python3:1.11.1 <my-image-name>
```

This command will look for local Python wheels in the `<python-wheel-folder>` and use these before searching PyPI.
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2 changes: 1 addition & 1 deletion doc/source/reference/upgrading.md
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Expand Up @@ -30,7 +30,7 @@ In Seldon Core 1.8 the rclone-based [storage initializer](https://github.com/Sel
The storage initailizer image that is being used is controlled by the helm value:
```yaml
storageInitializer:
image: seldonio/rclone-storage-initializer:1.11.1-dev
image: seldonio/rclone-storage-initializer:1.11.1
```
and can be customised on per-deployment basis as described in [Prepackaged Model Servers](../servers/overview.md) documentation by setting value of `storageInitializerImage` variable in the graph definition.

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2 changes: 1 addition & 1 deletion doc/source/servers/kfserving-storage-initializer.md
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Expand Up @@ -8,7 +8,7 @@ storageInitializer:
image: gcr.io/kfserving/storage-initializer:v0.4.0
```
> :warning: **NOTE:** Current default storage initializer is `seldonio/rclone-storage-initializer:1.11.1-dev` is described [here](./overview.md).
> :warning: **NOTE:** Current default storage initializer is `seldonio/rclone-storage-initializer:1.11.1` is described [here](./overview.md).


When `kfserving/storage-initializer` is used `modeluri` supports the following four object storage providers:
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6 changes: 3 additions & 3 deletions doc/source/servers/overview.md
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Expand Up @@ -36,7 +36,7 @@ Seldon Core uses [Init Containers](https://kubernetes.io/docs/concepts/workloads

```yaml
storageInitializer:
image: seldonio/rclone-storage-initializer:1.11.1-dev
image: seldonio/rclone-storage-initializer:1.11.1
```
in our default [helm values](../charts/seldon-core-operator.html#values).
See the [Dockerfile](https://github.com/SeldonIO/seldon-core/blob/master/components/rclone-storage-initializer/Dockerfile
Expand Down Expand Up @@ -81,7 +81,7 @@ spec:
initContainers:
- name: classifier-model-initializer
image: seldonio/rclone-storage-initializer:1.11.1-dev
image: seldonio/rclone-storage-initializer:1.11.1
imagePullPolicy: IfNotPresent
args:
- "s3://sklearn/iris"
Expand Down Expand Up @@ -132,7 +132,7 @@ spec:
name: classifier
implementation: SKLEARN_SERVER
modelUri: s3://sklearn/iris
storageInitializerImage: seldonio/rclone-storage-initializer:1.11.1-dev # Specify custom image here
storageInitializerImage: seldonio/rclone-storage-initializer:1.11.1 # Specify custom image here
envSecretRefName: seldon-init-container-secret # Specify custom secret here
```
Note that image and secret used by Storage Initializer can be customised per-deployment.
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2 changes: 1 addition & 1 deletion doc/source/workflow/overview.md
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Expand Up @@ -111,7 +111,7 @@ To complete containerisation process you need two more components:

Once these are in place you can use a simple s2i command
```bash
s2i build . seldonio/seldon-core-s2i-python3:1.11.1-dev model:0.1
s2i build . seldonio/seldon-core-s2i-python3:1.11.1 model:0.1
```
to create ready to use Docker image.

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2 changes: 1 addition & 1 deletion doc/source/workflow/quickstart.md
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Expand Up @@ -217,7 +217,7 @@ Now we can use the Seldon Core utilities to convert our python class into a full
The result below is a container with the name `sklearn_iris` and the tag `0.1` which we will be able to deploy using Seldon Core.

```console
s2i build . seldonio/seldon-core-s2i-python3:1.11.1-dev sklearn_iris:0.1
s2i build . seldonio/seldon-core-s2i-python3:1.11.1 sklearn_iris:0.1
```

**5. Deploy to Kubernetes**
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2 changes: 1 addition & 1 deletion engine/Dockerfile.redhat
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Expand Up @@ -14,7 +14,7 @@ RUN yum install -y java-11-openjdk.x86_64
RUN yum -y update-minimal --security --sec-severity=Important --sec-severity=Critical
LABEL name="Seldon Engine" \
vendor="Seldon Technologies" \
version="1.11.1-dev" \
version="1.11.1" \
release="1" \
summary="The Seldon Engine that is deployed for each model to handle the data flow of each ML computational graph." \
description="The Seldon Engine that is deployed for each model to handle the data flow of each ML computational graph."
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2 changes: 1 addition & 1 deletion engine/pom.xml
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Expand Up @@ -10,7 +10,7 @@ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xs
</parent>
<groupId>io.seldon.engine</groupId>
<artifactId>seldon-engine</artifactId>
<version>1.11.1-dev</version>
<version>1.11.1</version>
<packaging>jar</packaging>
<name>engine</name>
<url>http://maven.apache.org</url>
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2 changes: 1 addition & 1 deletion examples/batch/hdfs-argo-workflows/hdfs-batch.ipynb
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Expand Up @@ -536,7 +536,7 @@
"\n",
" - name: process-batch-inputs\n",
" container:\n",
" image: seldonio/seldon-core-s2i-python37:1.11.1-dev\n",
" image: seldonio/seldon-core-s2i-python37:1.11.1\n",
"\n",
" volumeMounts:\n",
" - mountPath: /assets\n",
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2 changes: 1 addition & 1 deletion examples/batch/kubeflow-pipelines-batch/README.ipynb
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Expand Up @@ -284,7 +284,7 @@
"\n",
" batch_process_step = dsl.ContainerOp(\n",
" name='data_downloader',\n",
" image='seldonio/seldon-core-s2i-python37:1.11.1-dev command=\"seldon-batch-processor\",\n",
" image='seldonio/seldon-core-s2i-python37:1.11.1 command=\"seldon-batch-processor\",\n",
" arguments=[\n",
" \"--deployment-name\", \"{{workflow.name}}\",\n",
" \"--namespace\", namespace,\n",
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Expand Up @@ -494,7 +494,7 @@
],
"source": [
"%%bash\n",
"SELDON_BASE_WRAPPER=\"seldonio/seldon-core-s2i-python36:1.11.1-dev
"SELDON_BASE_WRAPPER=\"seldonio/seldon-core-s2i-python36:1.11.1
"s2i build src/. $SELDON_BASE_WRAPPER sklearn-server:0.1 \\\n",
" --environment-file src/seldon_model.conf"
]
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Expand Up @@ -494,7 +494,7 @@
],
"source": [
"%%bash\n",
"SELDON_BASE_WRAPPER=\"seldonio/seldon-core-s2i-python36:1.11.1-dev
"SELDON_BASE_WRAPPER=\"seldonio/seldon-core-s2i-python36:1.11.1
"s2i build src/. $SELDON_BASE_WRAPPER sklearn-server:0.1 \\\n",
" --environment-file src/seldon_model.conf"
]
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Expand Up @@ -3,13 +3,13 @@ FOLDER=torchserver
IMAGE_BASE=seldonio/${FOLDER}

build_rest:
s2i build -E environment_rest ./${FOLDER} seldonio/seldon-core-s2i-python37:1.11.1-dev ${IMAGE_BASE}_rest:${VERSION}
s2i build -E environment_rest ./${FOLDER} seldonio/seldon-core-s2i-python37:1.11.1 ${IMAGE_BASE}_rest:${VERSION}

push_rest:
docker push ${IMAGE_BASE}_rest:${VERSION}

build_grpc:
s2i build -E environment_grpc ./${FOLDER} seldonio/seldon-core-s2i-python37:1.11.1-dev ${IMAGE_BASE}_grpc:${VERSION}
s2i build -E environment_grpc ./${FOLDER} seldonio/seldon-core-s2i-python37:1.11.1 ${IMAGE_BASE}_grpc:${VERSION}

push_grpc:
docker push ${IMAGE_BASE}_grpc:${VERSION}
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Expand Up @@ -89,7 +89,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"s2i build -E environment_rest ./sklearnserver seldonio/seldon-core-s2i-python37:1.11.1-dev seldonio/sklearnserver_rest:0.1\n",
"s2i build -E environment_rest ./sklearnserver seldonio/seldon-core-s2i-python37:1.11.1 seldonio/sklearnserver_rest:0.1\n",
"---> Installing application source...\n",
"---> Installing dependencies ...\n",
"Looking in links: /whl\n",
Expand Down Expand Up @@ -284,7 +284,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"s2i build -E environment_grpc ./sklearnserver seldonio/seldon-core-s2i-python37:1.11.1-dev seldonio/sklearnserver_grpc:0.1\n",
"s2i build -E environment_grpc ./sklearnserver seldonio/seldon-core-s2i-python37:1.11.1 seldonio/sklearnserver_grpc:0.1\n",
"---> Installing application source...\n",
"---> Installing dependencies ...\n",
"Looking in links: /whl\n",
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Expand Up @@ -494,7 +494,7 @@
],
"source": [
"%%bash\n",
"SELDON_BASE_WRAPPER=\"seldonio/seldon-core-s2i-python36:1.11.1-dev
"SELDON_BASE_WRAPPER=\"seldonio/seldon-core-s2i-python36:1.11.1
"s2i build src/. $SELDON_BASE_WRAPPER sklearn-server:0.1 \\\n",
" --environment-file src/seldon_model.conf"
]
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Expand Up @@ -2,7 +2,7 @@ IMAGE_VERSION=0.3
IMAGE_NAME=docker.io/seldonio/imagenet-transformer

build:
s2i build -E environment . seldonio/seldon-core-s2i-python36:1.11.1-dev $(IMAGE_NAME):$(IMAGE_VERSION)
s2i build -E environment . seldonio/seldon-core-s2i-python36:1.11.1 $(IMAGE_NAME):$(IMAGE_VERSION)

push_to_dockerhub:
docker push $(IMAGE_NAME):$(IMAGE_VERSION)
2 changes: 1 addition & 1 deletion examples/feedback/reward-accuracy/README.ipynb
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Expand Up @@ -264,7 +264,7 @@
}
],
"source": [
"!s2i build . seldonio/seldon-core-s2i-python37:1.11.1-dev metrics_model:0.1 \\\n",
"!s2i build . seldonio/seldon-core-s2i-python37:1.11.1 metrics_model:0.1 \\\n",
" --env MODEL_NAME=\"MetricsModel\" --env API_TYPE=REST --env SERVICE_TYPE=MODEL --env PERSISTENCE=0"
]
},
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4 changes: 2 additions & 2 deletions examples/kubeflow/kubeflow_seldon_e2e_pipeline.ipynb
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Expand Up @@ -305,7 +305,7 @@
"text": [
"#!/bin/bash\n",
"\n",
"s2i build . seldonio/seldon-core-s2i-python3:1.11.1-dev clean_text_transformer:0.1\n",
"s2i build . seldonio/seldon-core-s2i-python3:1.11.1 clean_text_transformer:0.1\n",
"\n"
]
}
Expand Down Expand Up @@ -476,7 +476,7 @@
"ERROR: No matching distribution found for en-core-web-sm==2.3.1 (from -r requirements.txt (line 5))\n",
"WARNING: Url '/whl' is ignored. It is either a non-existing path or lacks a specific scheme.\n",
"Build failed\n",
"ERROR: An error occurred: non-zero (13) exit code from seldonio/seldon-core-s2i-python37:1.11.1-dev\n",
"ERROR: An error occurred: non-zero (13) exit code from seldonio/seldon-core-s2i-python37:1.11.1\n",
"---> Installing application source...\n",
"---> Installing dependencies ...\n",
"Looking in links: /whl\n",
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Expand Up @@ -288,7 +288,7 @@
}
],
"source": [
"!s2i build . seldonio/seldon-core-s2i-python36:1.11.1-dev deep-mnist:0.1"
"!s2i build . seldonio/seldon-core-s2i-python36:1.11.1 deep-mnist:0.1"
]
},
{
Expand Down
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Expand Up @@ -185,7 +185,7 @@
}
],
"source": [
"!s2i build . seldonio/seldon-core-s2i-python36:1.11.1-dev deep-mnist:0.1"
"!s2i build . seldonio/seldon-core-s2i-python36:1.11.1 deep-mnist:0.1"
]
},
{
Expand Down
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Expand Up @@ -218,7 +218,7 @@
}
],
"source": [
"!s2i build . seldonio/seldon-core-s2i-python36:1.11.1-dev deep-mnist:0.1"
"!s2i build . seldonio/seldon-core-s2i-python36:1.11.1 deep-mnist:0.1"
]
},
{
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2 changes: 1 addition & 1 deletion examples/models/mean_classifier/image_metadata.json
Original file line number Diff line number Diff line change
@@ -1 +1 @@
{"labels": [{"name": "Seldon Mock Model"}, {"vendor": "Seldon Technologies"}, {"version": "1.11.1-dev"}, {"release": "1"}, {"summary": "A mock model for testing Seldon Core"}, {"description": "A mock REST model for testing Seldon Core"}]}
{"labels": [{"name": "Seldon Mock Model"}, {"vendor": "Seldon Technologies"}, {"version": "1.11.1"}, {"release": "1"}, {"summary": "A mock model for testing Seldon Core"}, {"description": "A mock REST model for testing Seldon Core"}]}
2 changes: 1 addition & 1 deletion examples/models/resnet/Makefile
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@@ -1,7 +1,7 @@


build_image:
s2i build -E environment_grpc . seldonio/seldon-core-s2i-python36:1.11.1-dev seldon-resnet2.4
s2i build -E environment_grpc . seldonio/seldon-core-s2i-python36:1.11.1 seldon-resnet2.4


clean:
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2 changes: 1 addition & 1 deletion examples/models/resnet/reset.ipynb
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Expand Up @@ -110,7 +110,7 @@
}
],
"source": [
"!s2i build -E environment_grpc . seldonio/seldon-core-s2i-python36:1.11.1-dev seldon-resnet2.4"
"!s2i build -E environment_grpc . seldonio/seldon-core-s2i-python36:1.11.1 seldon-resnet2.4"
]
},
{
Expand Down
2 changes: 1 addition & 1 deletion examples/upgrade-to-rclone/global-rclone-upgrade.ipynb
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Expand Up @@ -666,7 +666,7 @@
" --repo https://storage.googleapis.com/seldon-charts \\\n",
" --version 1.9.1 \\\n",
" --namespace seldon-system \\\n",
" --set storageInitializer.image=\"seldonio/rclone-storage-initializer:1.11.1-dev\" \\\n",
" --set storageInitializer.image=\"seldonio/rclone-storage-initializer:1.11.1\" \\\n",
" --reuse-values"
]
},
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4 changes: 2 additions & 2 deletions examples/upgrade-to-rclone/rclone-upgrade.ipynb
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Expand Up @@ -264,7 +264,7 @@
"spec:\n",
" containers:\n",
" - name: rclone\n",
" image: seldonio/rclone-storage-initializer:1.11.1-dev\n",
" image: seldonio/rclone-storage-initializer:1.11.1\n",
" command: [ \"/bin/sh\", \"-c\", \"--\", \"sleep 3600\"]\n",
" envFrom:\n",
" - secretRef:\n",
Expand Down Expand Up @@ -359,7 +359,7 @@
" implementation: SKLEARN_SERVER\n",
" modelUri: s3://sklearn/iris\n",
" envSecretRefName: seldon-rclone-secret\n",
" storageInitializerImage: seldonio/rclone-storage-initializer:1.11.1-dev"
" storageInitializerImage: seldonio/rclone-storage-initializer:1.11.1"
]
},
{
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2 changes: 1 addition & 1 deletion executor/Dockerfile.executor.redhat
Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@ RUN chmod -R 660 /openapi/
FROM registry.access.redhat.com/ubi8/ubi
LABEL name="Seldon Executor" \
vendor="Seldon Technologies" \
version="1.11.1-dev" \
version="1.11.1" \
release="1" \
summary="The service orchestrator for Seldon Core" \
description="The service orchestrator for Seldon Core which manages the request/response flow through the Seldon Core inference graphs deployed via the Seldon Core Operator as SeldonDeployments custom resources"
Expand Down
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