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[OpenVINO] Updated OpenVINO requirements and build docs (#6948)

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Ilya Lavrenov 2024-07-30 22:33:01 +04:00 committed by GitHub
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commit 5895b24677
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3 changed files with 30 additions and 4 deletions
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4
Dockerfile.openvino
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@ -1,7 +1,7 @@
# The vLLM Dockerfile is used to construct vLLM image that can be directly used
# to run the OpenAI compatible server.
FROM ubuntu:20.04 AS dev
FROM ubuntu:22.04 AS dev
RUN apt-get update -y && \
apt-get install -y python3-pip git
@ -18,7 +18,7 @@ COPY setup.py /workspace/vllm/
# install build requirements
RUN PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu" python3 -m pip install -r /workspace/vllm/requirements-build.txt
# build vLLM with OpenVINO backend
RUN PIP_PRE=1 PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu https://storage.openvinotoolkit.org/simple/wheels/nightly/" VLLM_TARGET_DEVICE="openvino" python3 -m pip install /workspace/vllm/
RUN PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu https://storage.openvinotoolkit.org/simple/wheels/pre-release" VLLM_TARGET_DEVICE="openvino" python3 -m pip install /workspace/vllm/
COPY examples/ /workspace/vllm/examples
COPY benchmarks/ /workspace/vllm/benchmarks

2
docs/source/getting_started/openvino-installation.rst
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@ -57,7 +57,7 @@ Install from source
.. code-block:: console
$ PIP_PRE=1 PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu https://storage.openvinotoolkit.org/simple/wheels/nightly/" VLLM_TARGET_DEVICE=openvino python -m pip install -v .
$ PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu https://storage.openvinotoolkit.org/simple/wheels/pre-release" VLLM_TARGET_DEVICE=openvino python -m pip install -v .
.. _openvino_backend_performance_tips:

28
requirements-openvino.txt
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@ -1,7 +1,33 @@
# Common dependencies
-r requirements-common.txt
# -r requirements-common.txt
# TODO: remove temporary copy of all common dependencies once Optimum Intel will support Transformers >= 4.43.2
cmake >= 3.21
ninja # For faster builds.
psutil
sentencepiece # Required for LLaMA tokenizer.
numpy < 2.0.0
requests
tqdm
py-cpuinfo
transformers < 4.43
tokenizers >= 0.19.1 # Required for Llama 3.
fastapi
aiohttp
openai
uvicorn[standard]
pydantic >= 2.0 # Required for OpenAI server.
pillow # Required for image processing
prometheus_client >= 0.18.0
prometheus-fastapi-instrumentator >= 7.0.0
tiktoken >= 0.6.0 # Required for DBRX tokenizer
lm-format-enforcer == 0.10.3
outlines >= 0.0.43, < 0.1 # Requires torch >= 2.1.0
typing_extensions
filelock >= 3.10.4 # filelock starts to support `mode` argument from 3.10.4
pyzmq
# OpenVINO dependencies
torch >= 2.1.2
openvino ~= 2024.3.0.dev
openvino-tokenizers[transformers] ~= 2024.3.0.0.dev
optimum-intel[openvino] >= 1.18.1