mirror of https://github.com/vllm-project/vllm
[TPU] Fix dockerfile.tpu (#7331)
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@ -4,20 +4,14 @@ ARG BASE_IMAGE="us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:night
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FROM $BASE_IMAGE
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WORKDIR /workspace
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# Install aiohttp separately to avoid build errors.
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RUN pip install aiohttp
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# Install NumPy 1 instead of NumPy 2.
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RUN pip install "numpy<2"
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# Install the TPU and Pallas dependencies.
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RUN pip install torch_xla[tpu] -f https://storage.googleapis.com/libtpu-releases/index.html
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RUN pip install torch_xla[pallas] -f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html -f https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html
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# Fix FastAPI dependence
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RUN pip install "starlette<0.38.0"
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RUN python3 -m pip install torch_xla[tpu] -f https://storage.googleapis.com/libtpu-releases/index.html
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RUN python3 -m pip install torch_xla[pallas] -f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html -f https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html
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# Build vLLM.
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COPY . /workspace/vllm
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ENV VLLM_TARGET_DEVICE="tpu"
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RUN cd /workspace/vllm && python setup.py develop
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RUN cd /workspace/vllm && python3 -m pip install -r requirements-tpu.txt
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RUN cd /workspace/vllm && python3 setup.py develop
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CMD ["/bin/bash"]
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