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[WIP] Add RAPIDS Nightly to GPU CI #436

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[WIP] Add RAPIDS Nightly to GPU CI #436

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f3ce8d5
fc fancy
praateekmahajan Dec 17, 2024
76c9eac
sc
praateekmahajan Dec 17, 2024
28c84bf
tc
praateekmahajan Dec 17, 2024
077ba5c
testing if fassttext 0.9.3 works, if so we should merge 434 -> 435 ->…
praateekmahajan Dec 17, 2024
d358bd7
update to nightly
praateekmahajan Dec 17, 2024
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tc 
Signed-off-by: Praateek <[email protected]>
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@praateekmahajan
praateekmahajan committed Dec 17, 2024
commit 28c84bfefc2a5c86c87eded9ddde28700c86d1c4
8 changes: 6 additions & 2 deletions .github/workflows/gpuci.yml
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Expand Up @@ -68,6 +68,7 @@ jobs:
if [ "$(docker ps -aq -f name=${{ env.CONTAINER_NAME }})" ]; then
docker rm -f ${{ env.CONTAINER_NAME }}
fi

# This runs the container which was pushed by build-container, which we call "nemo-curator-container"
# `--gpus all` ensures that all of the GPUs from our self-hosted-azure runner are available in the container
# We use "github.run_id" to identify the PR with the commits we want to run the PyTests with
Expand All @@ -80,9 +81,12 @@ jobs:

# In the virtual environment (called "curator") we created in the container,
# list all of our packages. Useful for debugging
- name: Verify installations
# Expect `whoami` to be "azureuser"
# Expect `nvidia-smi` to show our 2 A100 GPUs
- name: Check GPUs + Verify installations
run: |
echo "Checking system user:"
whoami
docker exec ${{ env.CONTAINER_NAME }} whoami
echo "Checking GPU availability:"
docker exec ${{ env.CONTAINER_NAME }} nvidia-smi
Expand All @@ -100,4 +104,4 @@ jobs:
# Thus, we use `docker rm` to permanently removed it from the system
- name: Cleanup
if: always()
run: docker rm -f ${{ env.CONTAINER_NAME }} || true
run: docker stop ${{ env.CONTAINER_NAME }} && docker rm ${{ env.CONTAINER_NAME }}
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