Change example from pytorch to mxnet

examples/v1alpha3/metrics-with-timestamp-example.yaml → examples/v1alpha3/mxnet-mnist-timestamp-example.yaml

@@ -2,14 +2,14 @@ apiVersion: "kubeflow.org/v1alpha3"
 kind: Experiment
 metadata:
   namespace: kubeflow
-  name: metrics-with-timestamp
+  name: mxnet-mnist-timestamp
 spec:
   objective:
     type: maximize
     goal: 0.99
-    objectiveMetricName: accuracy
+    objectiveMetricName: Validation-accuracy
     additionalMetricNames:
-    - loss
+      - Train-accuracy
   algorithm:
     algorithmName: random
   parallelTrialCount: 3
@@ -21,11 +21,18 @@ spec:
       feasibleSpace:
         min: "0.01"
         max: "0.03"
-    - name: --momentum
-      parameterType: double
+    - name: --num-layers
+      parameterType: int
+      feasibleSpace:
+        min: "2"
+        max: "5"
+    - name: --optimizer
+      parameterType: categorical
       feasibleSpace:
-        min: "0.3"
-        max: "0.7"
+        list:
+        - sgd
+        - adam
+        - ftrl
   trialTemplate:
     goTemplate:
         rawTemplate: |-
@@ -39,12 +46,11 @@ spec:
               spec:
                 containers:
                 - name: {{.Trial}}
-                  image: docker.io/andreyvelichkevich/timestamp-metric
+                  image: docker.io/kubeflowkatib/mxnet-mnist-timestamp
                   imagePullPolicy: Always
                   command:
-                  - "python"
-                  - "/var/mnist.py"
-                  - "--epochs=3"
+                  - "python3"
+                  - "/opt/mxnet-mnist-timestamp/mnist.py"
                   {{- with .HyperParameters}}
                   {{- range .}}
                   - "{{.Name}}={{.Value}}"

examples/v1alpha3/mxnet-mnist-timestamp/Dockerfile

@@ -0,0 +1,13 @@
+FROM ubuntu:16.04
+
+RUN apt-get update && \
+    apt-get install -y wget python3-dev gcc && \
+    wget https://bootstrap.pypa.io/get-pip.py && \
+    python3 get-pip.py
+
+RUN pip3 install mxnet
+
+ADD . /opt/mxnet-mnist-timestamp
+WORKDIR /opt/mxnet-mnist-timestamp
+
+ENTRYPOINT ["python3", "/opt/mxnet-mnist-timestamp/mnist.py"]

examples/v1alpha3/mxnet-mnist-timestamp/README.md

@@ -0,0 +1,6 @@
+# Mxnet image classification example
+This is Mxnet image classification training container with recording time of the metrics.
+
+It uses random suggestion algorithm and has only simple multilayer perceptron network (mlp).
+
+If you want to read more about this example, visit official [incubator-mxnet](https://github.com/apache/incubator-mxnet/tree/master/example/image-classification) github repository.

examples/v1alpha3/mxnet-mnist-timestamp/common/find_mxnet.py

@@ -0,0 +1,24 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+import os, sys
+try:
+    import mxnet as mx
+except ImportError:
+    curr_path = os.path.abspath(os.path.dirname(__file__))
+    sys.path.append(os.path.join(curr_path, "../../../python"))
+    import mxnet as mx