Add a dockerfile for the fvt image

Signed-off-by: ted chang <htchang@us.ibm.com>

fvt/minio-examples-image/Dockerfile.dev

@@ -0,0 +1,25 @@
+# Copyright 2022 IBM Corporation
+#
+# Licensed 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.
+
+From quay.io/cloudservices/minio:RELEASE.2021-06-17T00-10-46Z.hotfix.35a0912ff
+EXPOSE 9000
+RUN mkdir -p /data1/modelmesh-example-models
+COPY sklearn /data1/modelmesh-example-models/sklearn/
+COPY lightgbm /data1/modelmesh-example-models/lightgbm/
+COPY onnx /data1/modelmesh-example-models/onnx/
+COPY pytorch /data1/modelmesh-example-models/pytorch/
+COPY xgboost /data1/modelmesh-example-models/xgboost/
+COPY tensorflow /data1/modelmesh-example-models/tensorflow/
+COPY keras /data1/modelmesh-example-models/keras/
+COPY fvt /data1/modelmesh-example-models/fvt/

fvt/minio-examples-image/README.md

@@ -4,7 +4,14 @@ This MinIO docker image contains example models. When ModelMesh is deployed with
 
 ## Build the image locally
 
-`docker build -t docker.io/kserve/modelmesh-minio-examples:latest .`
+```sh
+docker build -t docker.io/kserve/modelmesh-minio-examples:latest .
+```
+
+Building the dev image for using with `--fvt` flag
+```sh
+docker build -f Dockerfile.dev -t kserve/modelmesh-minio-dev-examples:latest .
+```
 
 ## Usage examples
 

fvt/minio-examples-image/fvt/lightgbm/mushroom-dup/model-settings.json

@@ -0,0 +1,3 @@
+{
+    "implementation": "mlserver_lightgbm.LightGBMModel"
+}

fvt/minio-examples-image/fvt/lightgbm/mushroom/model-settings.json

@@ -0,0 +1,3 @@
+{
+    "implementation": "mlserver_lightgbm.LightGBMModel"
+}

fvt/minio-examples-image/fvt/onnx/onnx-test-model/config.pbtxt

@@ -0,0 +1,23 @@
+platform: "onnxruntime_onnx"
+max_batch_size: 32
+input [
+  {
+    name: "input"
+    data_type: TYPE_FP32
+    dims: [3, 224, 224]
+  }
+]
+output [
+  {
+    name: "output"
+    data_type: TYPE_FP32
+    dims: [3]
+    label_filename: "test_labels.txt"
+  }
+]
+instance_group [
+  {
+    kind: KIND_AUTO
+    count: 1
+  }
+]

fvt/minio-examples-image/fvt/onnx/onnx-test-model/test_labels.txt

@@ -0,0 +1,3 @@
+class1
+class2
+class3

fvt/minio-examples-image/fvt/onnx/onnx-withschema-new/config.pbtxt

@@ -0,0 +1,2 @@
+backend: "onnxruntime"
+max_batch_size: 0

fvt/minio-examples-image/fvt/onnx/onnx-withschema/config.pbtxt

@@ -0,0 +1,2 @@
+backend: "onnxruntime"
+max_batch_size: 0

fvt/minio-examples-image/fvt/onnx/schema/schema.json

@@ -0,0 +1,12 @@
+{
+        "inputs": [{
+                "name": "Input3",
+                "datatype": "FP32",
+                "shape": [1,1,28,28]
+        }],
+        "outputs": [{
+                "name": "Plus214_Output_0",
+                "datatype": "FP32",
+                "shape": [1,10]
+        }]
+}

fvt/minio-examples-image/fvt/openvino/mnist-dup/mnist.mapping

@@ -0,0 +1,79 @@
+<?xml version="1.0"?>
+<mapping>
+	<map>
+		<framework name="Input3" output_port_id="Input3" />
+		<IR name="Input3" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Parameter5" output_port_id="Parameter5" />
+		<IR name="Parameter5" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Convolution28" output_port_id="Convolution28_Output_0" />
+		<IR name="Convolution28" output_port_id="2" />
+	</map>
+	<map>
+		<framework name="Parameter6" output_port_id="Parameter6" />
+		<IR name="Parameter6" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Plus30" output_port_id="Plus30_Output_0" />
+		<IR name="Plus30" output_port_id="2" />
+	</map>
+	<map>
+		<framework name="ReLU32" output_port_id="ReLU32_Output_0" />
+		<IR name="ReLU32" output_port_id="1" />
+	</map>
+	<map>
+		<framework name="Pooling66" output_port_id="Pooling66_Output_0" />
+		<IR name="Pooling66" output_port_id="1" />
+	</map>
+	<map>
+		<framework name="Parameter87" output_port_id="Parameter87" />
+		<IR name="Parameter87" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Convolution110" output_port_id="Convolution110_Output_0" />
+		<IR name="Convolution110" output_port_id="2" />
+	</map>
+	<map>
+		<framework name="Parameter88" output_port_id="Parameter88" />
+		<IR name="Parameter88" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Plus112" output_port_id="Plus112_Output_0" />
+		<IR name="Plus112" output_port_id="2" />
+	</map>
+	<map>
+		<framework name="ReLU114" output_port_id="ReLU114_Output_0" />
+		<IR name="ReLU114" output_port_id="1" />
+	</map>
+	<map>
+		<framework name="Pooling160" output_port_id="Pooling160_Output_0" />
+		<IR name="Pooling160" output_port_id="1" />
+	</map>
+	<map>
+		<framework name="Pooling160_Output_0_reshape0_shape" output_port_id="Pooling160_Output_0_reshape0_shape" />
+		<IR name="Pooling160_Output_0_reshape0_shape" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Times212_reshape0" output_port_id="Pooling160_Output_0_reshape0" />
+		<IR name="Times212_reshape0" output_port_id="2" />
+	</map>
+	<map>
+		<framework name="Times212_reshape1" output_port_id="Parameter193_reshape1" />
+		<IR name="Times212_reshape1" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Times212" output_port_id="Times212_Output_0" />
+		<IR name="Times212" output_port_id="2" />
+	</map>
+	<map>
+		<framework name="Parameter194" output_port_id="Parameter194" />
+		<IR name="Parameter194" output_port_id="0" />
+	</map>
+	<map>
+		<framework name="Plus214_Output_0" output_port_id="Plus214_Output_0" />
+		<IR name="Plus214_Output_0" output_port_id="2" />
+	</map>
+</mapping>