remove inf1 support (deepjavalibrary#785)

.github/workflows/docker-nightly-publish.yml

@@ -15,7 +15,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        arch: [ cpu, cpu-full, deepspeed, pytorch-inf1, pytorch-inf2, pytorch-cu118, fastertransformer ]
+        arch: [ cpu, cpu-full, deepspeed, pytorch-inf2, pytorch-cu118, fastertransformer ]
     steps:
       - uses: actions/checkout@v3
       - name: Login to Docker

.github/workflows/integration.yml

@@ -33,19 +33,9 @@ jobs:
           --fail \
           | jq '.token' | tr -d '"' )
           ./start_instance.sh action_graviton $token djl-serving
-      - name: Create new Inferentia instance
-        id: create_inf
-        run: |
-          cd /home/ubuntu/djl_benchmark_script/scripts
-          token=$( curl -X POST -H "Authorization: token ${{ secrets.ACTION_RUNNER_PERSONAL_TOKEN }}" \
-          https://api.github.com/repos/deepjavalibrary/djl-serving/actions/runners/registration-token \
-          --fail \
-          | jq '.token' | tr -d '"' )
-          ./start_instance.sh action_inf $token djl-serving
     outputs:
       gpu_instance_id: ${{ steps.create_gpu.outputs.action_gpu_instance_id }}
       aarch64_instance_id: ${{ steps.create_aarch64.outputs.action_graviton_instance_id }}
-      inf_instance_id: ${{ steps.create_inf.outputs.action_inf_instance_id }}
 
   cpu-test:
     runs-on: ubuntu-latest
@@ -153,65 +143,6 @@ jobs:
           name: ${{ matrix.arch }}-logs
           path: tests/integration/logs/
 
-  inferentia-test:
-    runs-on: [ self-hosted, inf ]
-    timeout-minutes: 30
-    needs: create-runners
-    steps:
-      - uses: actions/checkout@v3
-      - name: Clean env
-        run: |
-          yes | docker system prune -a --volumes
-          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
-          echo "wait dpkg lock..."
-          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
-      - name: Set up JDK 11
-        uses: actions/setup-java@v3
-        with:
-          distribution: 'corretto'
-          java-version: 11
-      - uses: actions/cache@v3
-        with:
-          path: ~/.gradle/caches
-          key: ${{ runner.os }}-gradle-${{ hashFiles('**/*.gradle*') }}
-          restore-keys: |
-            ${{ runner.os }}-gradle-
-      - name: Install DJL-Bench
-        working-directory: benchmark
-        run: ./gradlew installOnLinux
-      - name: Build container name
-        run: ./serving/docker/scripts/docker_name_builder.sh pytorch-inf1 ${{ github.event.inputs.djl-version }}
-      - name: Download models and dockers
-        working-directory: tests/integration
-        run: |
-          docker pull deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG
-          mkdir logs
-          ./download_models.sh pytorch-inf1
-      - name: Test Pytorch model
-        working-directory: tests/integration
-        run: |
-          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models pytorch-inf1 \
-          serve -m test::PyTorch=file:/opt/ml/model/resnet18_inf1_1_12.tar.gz?model_name=resnet18_inf1_1_12
-          ./test_client.sh image/jpg models/kitten.jpg
-          docker rm -f $(docker ps -aq)
-      - name: Test Python mode
-        working-directory: tests/integration
-        run: |
-          ./launch_container.sh deepjavalibrary/djl-serving:$DJLSERVING_DOCKER_TAG $PWD/models pytorch-inf1 \
-          serve -m test::Python=file:/opt/ml/model/resnet18_inf1_1_12.tar.gz
-          ./test_client.sh image/jpg models/kitten.jpg
-          docker rm -f $(docker ps -aq)
-      - name: On fail step
-        if: ${{ failure() }}
-        working-directory: tests/integration
-        run: |
-          cat logs/serving.log
-      - name: Upload test logs
-        uses: actions/upload-artifact@v3
-        with:
-          name: pytorch-inf1-logs
-          path: tests/integration/logs/
-
   gpu-test:
     runs-on: [ self-hosted, gpu ]
     timeout-minutes: 30
@@ -336,7 +267,7 @@ jobs:
   stop-runners:
     if: always()
     runs-on: [ self-hosted, scheduler ]
-    needs: [ create-runners, inferentia-test, aarch64-test, gpu-test ]
+    needs: [ create-runners, aarch64-test, gpu-test ]
     steps:
       - name: Stop all instances
         run: |
@@ -345,5 +276,3 @@ jobs:
           ./stop_instance.sh $instance_id
           instance_id=${{ needs.create-runners.outputs.aarch64_instance_id }}
           ./stop_instance.sh $instance_id
-          instance_id=${{ needs.create-runners.outputs.inf_instance_id }}
-          ./stop_instance.sh $instance_id

README.md

@@ -82,7 +82,7 @@ To see examples, see the [starting page](serving/docs/starting.md).
 ### More examples
 
 - [Serving a Python model](https://github.com/deepjavalibrary/djl-demo/tree/master/huggingface/python)
-- [Serving on Inf1 EC2 instance](https://github.com/deepjavalibrary/djl-demo/tree/master/huggingface/inferentia)
+- [Serving on Inferentia EC2 instance](https://github.com/deepjavalibrary/djl-demo/tree/master/huggingface/inferentia)
 - [Serving with docker](https://github.com/deepjavalibrary/djl-serving/tree/master/serving/docker)
 
 ### More command line options

serving/docker/README.md

@@ -51,6 +51,6 @@ docker run -it --runtime=nvidia --shm-size 2g -v $PWD:/opt/ml/model -p 8080:8080
 mkdir models
 cd models
 
-curl -O https://resources.djl.ai/test-models/pytorch/bert_qa_inf1.tar.gz
-docker run --device /dev/neuron0 -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.22.1-inf1
+curl -O https://resources.djl.ai/test-models/pytorch/resnet18_inf2_2_4.tar.gz
+docker run --device /dev/neuron0 -it --rm -v $PWD:/opt/ml/model -p 8080:8080 deepjavalibrary/djl-serving:0.22.1-pytorch-inf2
 ```

serving/docker/docker-compose.yml

@@ -22,11 +22,6 @@ services:
       context: .
       dockerfile: deepspeed.Dockerfile
     image: "deepjavalibrary/djl-serving:${RELEASE_VERSION}deepspeed${NIGHTLY}"
-  pytorch-inf1:
-    build:
-      context: .
-      dockerfile: pytorch-inf1.Dockerfile
-    image: "deepjavalibrary/djl-serving:${RELEASE_VERSION}pytorch-inf1${NIGHTLY}"
   pytorch-cu118:
     build:
       context: .

serving/docker/fastertransformer.Dockerfile

@@ -19,8 +19,8 @@ ARG torch_wheel="https://aws-pytorch-unified-cicd-binaries.s3.us-west-2.amazonaw
 ARG ft_wheel="https://publish.djl.ai/fastertransformer/fastertransformer-0.23.0-py3-none-any.whl"
 ARG tb_wheel="https://publish.djl.ai/tritonserver/r23.04/tritontoolkit-23.4-py3-none-any.whl"
 ARG ompi_version=4.1.4
-ARG transformers_version=4.27.3
-ARG accelerate_version=0.17.1
+ARG transformers_version=4.29.2
+ARG accelerate_version=0.19.0
 ARG bitsandbytes_version=0.38.1
 
 EXPOSE 8080

serving/docker/pytorch-cu118.Dockerfile

@@ -14,8 +14,8 @@ ARG version=11.8.0-cudnn8-devel-ubuntu20.04
 FROM nvidia/cuda:$version as base
 
 ARG djl_version=0.23.0~SNAPSHOT
-ARG torch_version=2.0.0
-ARG torch_vision_version=0.15.1
+ARG torch_version=2.0.1
+ARG torch_vision_version=0.15.2
 ARG python_version=3.9
 
 RUN mkdir -p /opt/djl/conf && \

serving/docker/scripts/pull_and_retag.sh

@@ -2,7 +2,7 @@
 
 version=$1
 repo=$2
-images="cpu aarch64 cpu-full pytorch-inf1 pytorch-inf2 pytorch-cu118 deepspeed fastertransformer"
+images="cpu aarch64 cpu-full pytorch-inf2 pytorch-cu118 deepspeed fastertransformer"
 
 for image in $images; do
     if [[ ! "$version" == "nightly" ]]; then

serving/docker/scripts/security_patch.sh

@@ -8,6 +8,6 @@ if [[ "$IMAGE_NAME" == "deepspeed" ]] || \
    [[ "$IMAGE_NAME" == "pytorch-cu118" ]] || \
    [[ "$IMAGE_NAME" == "fastertransformer" ]]; then
   apt-get upgrade -y dpkg e2fsprogs libdpkg-perl libpcre2-8-0 libpcre3 openssl libsqlite3-0 libsepol1 libdbus-1-3 curl
-elif [[ "$IMAGE_NAME" == "cpu" ]] ||  [[ "$IMAGE_NAME" == "pytorch-inf1" ]]; then
+elif [[ "$IMAGE_NAME" == "cpu" ]]; then
   apt-get upgrade -y libpcre2-8-0 libdbus-1-3 curl
 fi

tests/integration/download_models.sh

@@ -2,7 +2,7 @@
 
 set -e
 
-platform=$1 # expected values are "cpu" "cpu-full" "pytorch-cu118" "pytorch-inf1" "aarch64"
+platform=$1 # expected values are "cpu" "cpu-full" "pytorch-cu118" "pytorch-inf2" "aarch64"
 
 rm -rf models
 mkdir models && cd models
@@ -22,10 +22,6 @@ aarch_models_urls=(
   "https://resources.djl.ai/test-models/onnxruntime/resnet18-v1-7.zip"
 )
 
-inf1_models_urls=(
-  "https://resources.djl.ai/test-models/pytorch/resnet18_inf1_1_12.tar.gz"
-)
-
 inf2_models_urls=(
   "https://resources.djl.ai/test-models/pytorch/resnet18_inf2_2_4.tar.gz"
 )
@@ -45,17 +41,14 @@ case $platform in
 cpu | cpu-full | pytorch-cu118)
   download "${general_platform_models_urls[@]}"
   ;;
-pytorch-inf1)
-  download "${inf1_models_urls[@]}"
-  ;;
 pytorch-inf2)
   download "${inf2_models_urls[@]}"
   ;;
 aarch64)
   download "${aarch_models_urls[@]}"
   ;;
 *)
-  echo "Bad argument. Expecting one of the values: cpu, cpu-full, pytorch-cu118, pytorch-inf1, pytorch-inf2, aarch64"
+  echo "Bad argument. Expecting one of the values: cpu, cpu-full, pytorch-cu118, pytorch-inf2, aarch64"
   exit 1
   ;;
 esac