2.4.1-debian-10-r67 release
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@ -16,7 +16,7 @@ RUN bitnami-pkg install gosu-1.12.0-2 --checksum 4d858ac600c38af8de454c27b7f65c0
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COPY rootfs /
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ENV BITNAMI_APP_NAME="tensorflow-resnet" \
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BITNAMI_IMAGE_VERSION="2.4.1-debian-10-r66" \
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BITNAMI_IMAGE_VERSION="2.4.1-debian-10-r67" \
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NAMI_PREFIX="/.nami" \
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OS_ARCH="amd64" \
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OS_FLAVOUR="debian-10" \
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@ -1,7 +1,7 @@
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version: "2"
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services:
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tensorflow-serving:
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image: "docker.io/bitnami/tensorflow-serving:2"
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image: docker.io/bitnami/tensorflow-serving:2
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ports:
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- 8500:8500
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- 8501:8501
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@ -9,7 +9,7 @@ services:
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- "tensorflow_serving_data:/bitnami"
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- "/tmp/model-data:/bitnami/model-data"
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tensorflow-resnet:
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image: "docker.io/bitnami/tensorflow-resnet:2-debian-10"
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image: docker.io/bitnami/tensorflow-resnet:2
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depends_on:
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- tensorflow-serving
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volumes:
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@ -42,7 +42,7 @@ Non-root container images add an extra layer of security and are generally recom
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Learn more about the Bitnami tagging policy and the difference between rolling tags and immutable tags [in our documentation page](https://docs.bitnami.com/tutorials/understand-rolling-tags-containers/).
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* [`2`, `2-debian-10`, `2.4.1`, `2.4.1-debian-10-r66`, `latest` (2/debian-10/Dockerfile)](https://github.com/bitnami/bitnami-docker-tensorflow-resnet/blob/2.4.1-debian-10-r66/2/debian-10/Dockerfile)
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* [`2`, `2-debian-10`, `2.4.1`, `2.4.1-debian-10-r67`, `latest` (2/debian-10/Dockerfile)](https://github.com/bitnami/bitnami-docker-tensorflow-resnet/blob/2.4.1-debian-10-r67/2/debian-10/Dockerfile)
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Subscribe to project updates by watching the [bitnami/tensorflow-resnet GitHub repo](https://github.com/bitnami/bitnami-docker-tensorflow-resnet).
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@ -1,7 +1,7 @@
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version: "2"
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services:
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tensorflow-serving:
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image: "docker.io/bitnami/tensorflow-serving:2"
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image: docker.io/bitnami/tensorflow-serving:2
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ports:
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- 8500:8500
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- 8501:8501
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@ -9,7 +9,7 @@ services:
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- "tensorflow_serving_data:/bitnami"
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- "/tmp/model-data:/bitnami/model-data"
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tensorflow-resnet:
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image: "docker.io/bitnami/tensorflow-resnet:2-debian-10"
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image: docker.io/bitnami/tensorflow-resnet:2
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depends_on:
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- tensorflow-serving
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volumes:
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