vllm/Dockerfile.tpu
Yangshen⚡Deng 6a512a00df
[model] Support for Llava-Next-Video model (#7559)
Co-authored-by: Roger Wang <ywang@roblox.com>
Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
2024-09-10 22:21:36 -07:00

21 lines
829 B
Docker

ARG NIGHTLY_DATE="20240828"
ARG BASE_IMAGE="us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/xla:nightly_3.10_tpuvm_$NIGHTLY_DATE"
FROM $BASE_IMAGE
WORKDIR /workspace
# Install some basic utilities
RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 libgl1
# Install the TPU and Pallas dependencies.
RUN python3 -m pip install torch_xla[tpu] -f https://storage.googleapis.com/libtpu-releases/index.html
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
# Build vLLM.
COPY . /workspace/vllm
ENV VLLM_TARGET_DEVICE="tpu"
RUN cd /workspace/vllm && python3 -m pip install -r requirements-tpu.txt
RUN cd /workspace/vllm && python3 setup.py develop
CMD ["/bin/bash"]