🦙 Llama3 on TGI - Jetstream Pytorch #238

	name: Optimum TPU / Test TGI on TPU

	on:
	push:
	branches: [ main ]
	paths:
	- "text-generation-inference/**"
	pull_request:
	branches: [ main ]
	paths:
	- "text-generation-inference/**"

	concurrency:
	group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }}
	cancel-in-progress: true

	jobs:
	do-the-job:
	name: Run TGI tests
	runs-on: optimum-tpu
	container:
	# Use a nightly image that works with TPU (release was not working)
	image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:r2.4.0_3.10_tpuvm
	options: --shm-size "16gb" --ipc host --privileged
	env:
	PJRT_DEVICE: TPU
	steps:
	- name: Checkout
	uses: actions/checkout@v4

	- name: Build and test TGI server
	run: \|
	HF_TOKEN=${{ secrets.HF_TOKEN_OPTIMUM_TPU_CI }} make tgi_test

	# Use a different step to test the Jetstream Pytorch version, to avoid conflicts with torch-xla[tpu]
	- name: Install and test TGI server (Jetstream Pytorch)
	run: \|
	pip install -U .[jetstream-pt] \
	-f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html \
	-f https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html \
	-f https://storage.googleapis.com/libtpu-releases/index.html
	JETSTREAM_PT=1 HF_TOKEN=${{ secrets.HF_TOKEN_OPTIMUM_TPU_CI }} python -m \
	pytest -sv text-generation-inference/tests -k jetstream

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