Merge pull request #140 from adriangonz/bump-mlserver

Bump MLServer to 0.3.2

Author: axsaucedo

conda/tempo-examples.yaml

@@ -14,7 +14,7 @@ dependencies:
       - alibi==0.5.7
       - alibi-detect==0.6.0
       - dill
-      - mlserver==0.3.1.dev7
+      - mlserver==0.3.2
       - xgboost
       - ansible
       - openshift

docs/examples/asyncio/artifacts/classifier/conda.yaml

@@ -5,4 +5,4 @@ dependencies:
   - python=3.7.9
   - pip:
       - mlops-tempo
-      - mlserver==0.3.1.dev7
+      - mlserver==0.3.2

docs/examples/explainer/artifacts/explainer/conda.yaml

@@ -7,4 +7,4 @@ dependencies:
     - alibi
     - dill
     - mlops-tempo
-    - mlserver==0.3.1.dev7
+    - mlserver==0.3.2

docs/examples/kfserving/artifacts/classifier/conda.yaml

@@ -5,4 +5,4 @@ dependencies:
   - python=3.7.9
   - pip:
     - mlops-tempo
-    - mlserver==0.3.1.dev7
+    - mlserver==0.3.2

docs/examples/kfserving/k8s/tempo.yaml

@@ -44,7 +44,7 @@ spec:
           null, "maxReplicas": null, "authSecretName": null, "serviceAccountName":
           "kf-tempo", "namespace": "production"}, "ingress_options": {"ingress": "tempo.ingress.istio.IstioIngress",
           "ssl": false, "verify_ssl": true}}'
-      image: seldonio/mlserver:0.3.1.dev7
+      image: seldonio/mlserver:0.3.2
       name: mlserver
     serviceAccountName: kf-tempo
 

docs/examples/multi-model/artifacts/classifier/conda.yaml

@@ -5,4 +5,4 @@ dependencies:
   - python=3.7.9
   - pip:
     - mlops-tempo
-    - mlserver==0.3.1.dev7
+    - mlserver==0.3.2

docs/examples/outlier/artifacts/outlier/conda.yaml

@@ -8,4 +8,4 @@ dependencies:
     - dill
     - opencv-python-headless
     - mlops-tempo
-    - mlserver==0.3.1.dev7
+    - mlserver==0.3.2

docs/examples/outlier/artifacts/svc/conda.yaml

@@ -5,4 +5,4 @@ dependencies:
   - python=3.7.9
   - pip:
     - mlops-tempo
-    - mlserver==0.3.1.dev7
+    - mlserver==0.3.2

tempo/seldon/constants.py

@@ -1 +1 @@
-MLSERVER_IMAGE = "seldonio/mlserver:0.3.1.dev7"
+MLSERVER_IMAGE = "seldonio/mlserver:0.3.2"

tempo/serve/constants.py

@@ -8,8 +8,7 @@
 DefaultRemoteFilename = "remote.pickle"
 DefaultEnvFilename = "environment.tar.gz"
 
-# TODO: Update once tempo is published
-MLServerEnvDeps = ["mlserver==0.3.1.dev7"]
+MLServerEnvDeps = ["mlserver==0.3.2"]
 DefaultCondaFile = "conda.yaml"
 
 ENV_K8S_SERVICE_HOST = "KUBERNETES_SERVICE_HOST"