Add Dockerfile and entrypoint script for the jetstream-pytorch-server

docker/jetstream-pytorch-server/Dockerfile

@@ -0,0 +1,45 @@
+# Copyright 2024 Google LLC
+#
+# 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.
+
+# Ubuntu:22.04
+# Use Ubuntu 22.04 from Docker Hub.
+# https://hub.docker.com/_/ubuntu/tags?page=1&name=22.04
+FROM ubuntu:22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTORCH_JETSTREAM_VERSION=main
+
+RUN apt -y update && apt install -y --no-install-recommends \
+    ca-certificates \
+    git \
+    python3.10 \
+    python3-pip
+
+RUN python3 -m pip install --upgrade pip
+
+RUN update-alternatives --install \
+    /usr/bin/python3 python3 /usr/bin/python3.10 1
+
+RUN git clone https://github.com/AI-Hypercomputer/jetstream-pytorch.git && \
+cd /jetstream-pytorch && \
+git checkout ${PYTORCH_JETSTREAM_VERSION} && \
+bash install_everything.sh
+
+RUN pip install -U jax[tpu]==0.4.34 -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
+
+COPY jetstream_pytorch_server_entrypoint.sh /usr/bin/
+
+RUN chmod +x /usr/bin/jetstream_pytorch_server_entrypoint.sh
+
+ENTRYPOINT ["/usr/bin/jetstream_pytorch_server_entrypoint.sh"]

docker/jetstream-pytorch-server/README.md

@@ -0,0 +1,14 @@
+## Build and upload JetStream PyTorch Server image
+
+These instructions are to build the JetStream PyTorch Server image, which calls an entrypoint script that invokes the [JetStream](https://github.com/AI-Hypercomputer/JetStream) inference server with the JetStream-PyTorch framework. 
+
+```
+docker build -t jetstream-pytorch-server .
+docker tag jetstream-pytorch-server us-docker.pkg.dev/${PROJECT_ID}/jetstream/jetstream-pytorch-server:latest
+docker push us-docker.pkg.dev/${PROJECT_ID}/jetstream/jetstream-pytorch-server:latest
+```
+
+If you would like to change the version of MaxText the image is built off of, change the `PYTORCH_JETSTREAM_VERSION` environment variable:
+```
+ENV PYTORCH_JETSTREAM_VERSION=<your desired commit hash, release, or tag>
+```

docker/jetstream-pytorch-server/jetstream_pytorch_server_entrypoint.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+
+# Copyright 2024 Google LLC
+#
+# 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.
+
+export HUGGINGFACE_TOKEN_DIR="/huggingface"
+
+cd /jetstream-pytorch
+huggingface-cli login --token $(cat ${HUGGINGFACE_TOKEN_DIR}/HUGGINGFACE_TOKEN)
+jpt serve $@

jetstream_pt/cli.py

@@ -109,7 +109,9 @@ def serve():
     if 1 <= FLAGS.prometheus_port <= 65535:
       metrics_server_config = MetricsServerConfig(port=FLAGS.prometheus_port)
     else:
-      raise ValueError(f"Invalid port number: {FLAGS.prometheus_port}. Port must be between 1 and 65535.")
+      raise ValueError(
+          f"Invalid port number: {FLAGS.prometheus_port}. Port must be between 1 and 65535."
+      )
 
   # We separate credential from run so that we can unit test it with local credentials.
   # We would like to add grpc credentials for OSS.