WIP

.github/actions/pytorch-xla-tpu/Dockerfile

@@ -13,6 +13,7 @@ RUN apt-get update -y \
     libpython3.10 \
     gnupg2 \
     wget \
+    curl \
     && rm -rf /var/lib/apt/lists/* \
     && apt-get clean
 RUN pip3 --no-cache-dir install --upgrade pip

.github/workflows/test-pytorch-xla-tpu-tgi.yml

@@ -20,30 +20,44 @@ jobs:
     name: Run TGI tests
     runs-on: optimum-tpu
     container:
-      image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:r2.2.0_3.10_tpuvm
+      # Use an image that works with TPU with Pytorch 2.3.0 (release was not working)
+      image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla@sha256:8f1dcd5b03f993e4da5c20d17c77aff6a5f22d5455f8eb042d2e4b16ac460526
+      # image: ubuntu:22.04
       options: --shm-size "16gb" --ipc host --privileged
     env:
       PJRT_DEVICE: TPU
     steps:
       - name: Checkout
         uses: actions/checkout@v4
-      - name: Create venv and install Pytorch/XLA
+
+      - name: Test env
         run: |
-          echo "PJRT_DEVICE set to $PJRT_DEVICE"
-          pwd
-          ls
-          cat /etc/issue
-          echo "-----"
-          # sudo apt install python3.10-venv -y
-          # echo "Creating virtual environment..."
-          # python3 -m venv venv-tpu-pytorch
-          # source venv-tpu-pytorch/bin/activate
-          echo "Installing basic packages"
-          python -m pip install -U pip
-          # python -m pip install "torch~=2.2.0" "torch_xla[tpu]~=2.2.0" -f https://storage.googleapis.com/libtpu-releases/index.html numpy
           echo "Testing XLA installation..."
           python -c "import torch_xla.core.xla_model as xm; assert xm.xla_device().type == 'xla', 'XLA device not available'"
-      - name: Run TGI server python tests
-        run: |
-          # source venv-tpu-pytorch/bin/activate
-          make tgi_test
+
+
+      # - name: Containerized Build and Test TGI
+      #   uses: ./.github/actions/pytorch-xla-tpu
+      #   with:
+      #     make-target: tgi_test
+
+      # - name: Create venv and install Pytorch/XLA
+      #   run: |
+      #     echo "PJRT_DEVICE set to $PJRT_DEVICE"
+      #     pwd
+      #     ls
+      #     cat /etc/issue
+      #     echo "-----"
+      #     # sudo apt install python3.10-venv -y
+      #     # echo "Creating virtual environment..."
+      #     # python3 -m venv venv-tpu-pytorch
+      #     # source venv-tpu-pytorch/bin/activate
+      #     echo "Installing basic packages"
+      #     python -m pip install -U pip
+      #     # python -m pip install "torch~=2.2.0" "torch_xla[tpu]~=2.2.0" -f https://storage.googleapis.com/libtpu-releases/index.html numpy
+      #     echo "Testing XLA installation..."
+      #     python -c "import torch_xla.core.xla_model as xm; assert xm.xla_device().type == 'xla', 'XLA device not available'"
+      # - name: Run TGI server python tests
+      #   run: |
+      #     # source venv-tpu-pytorch/bin/activate
+      #     make tgi_test