0.6.0-r0 release

Upgrade TensorFlow Serving to version 0.6.0

bitnami/tensorflow-serving/0/Dockerfile

@@ -5,12 +5,12 @@ LABEL maintainer "Bitnami <containers@bitnami.com>"
 
 # Install required system packages and dependencies
 RUN install_packages libc6 libgcc1 libstdc++6
-RUN bitnami-pkg unpack tensorflow-serving-0.5.1-0 --checksum ba6b8c3d17c6dc58942989b3caa81a06b79ba633038b857e39296145bee4ac92
+RUN bitnami-pkg unpack tensorflow-serving-0.6.0-0 --checksum 0b55d1bf8e0ee73ed742d38a5dc1d5bbbe4d17d388a199cd9c7ae5b0d9435380
 
 COPY rootfs /
 
 ENV BITNAMI_APP_NAME="tensorflow-serving" \
-    BITNAMI_IMAGE_VERSION="0.5.1-r0" \
+    BITNAMI_IMAGE_VERSION="0.6.0-r0" \
     PATH="/opt/bitnami/tensorflow-serving/bin:/opt/bitnami/tensorflow-serving/bazel-bin/tensorflow_serving/model_servers:$PATH" \
     TENSORFLOW_SERVING_MODEL_NAME="inception" \
     TENSORFLOW_SERVING_PORT_NUMBER="9000"

bitnami/tensorflow-serving/0/docker-compose.yml

@@ -13,5 +13,3 @@ services:
 volumes:
   tensorflow_serving_data:
     driver: local
-  inception_data_model:
-    driver: local

bitnami/tensorflow-serving/README.md

@@ -10,6 +10,8 @@
 
 [tensorflow.github.io/serving/](https://tensorflow.github.io/serving/)
 
+> NOTE: This image needs access to trained data to actually works. Please check [bitnami-docker-tensorflow-inception](https://github.com/bitnami/bitnami-docker-tensorflow-inception) repository or follow the steps provided [here](#using-the-command-line)
+
 # TL;DR;
 
 ```bash
@@ -134,7 +136,7 @@ Finally we create a new container instance to launch the TensorFlow Serving clie
 $ docker run -it --rm \
     --volume /tmp/model-data:/bitnami/model-data
     --network app-tier \
-    bitnami/tensorflow-inception:latest inception_client --server:tensorflow-serving --image=path/to/image.jpg
+    bitnami/tensorflow-inception:latest inception_client --server=tensorflow-serving:9000 --image=path/to/image.jpg
 ```
 
 ## Using Docker Compose