install instructions result is pip version conflicts.

[hpcpony]

System Info

optimum-1.23.3, linux

Who can help?

No response

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction (minimal, reproducible, runnable)

Following the installation instructions at: https://huggingface.co/docs/optimum/en/intel/installation#installation results in failure due to incompatible versions of components

$ pip install --upgrade --upgrade-strategy eager "optimum[neural-compressor]"

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Successfully installed MarkupSafe-3.0.2 Pillow-11.0.0 accelerate-1.2.0 aiohappyeyeballs-2.4.4 aiohttp-3.11.10 aiosignal-1.3.1 annotated-types-0.7.0 attrs-24.2.0 charset-normalizer-3.4.0 coloredlogs-15.0.1 contourpy-1.3.1 cycler-0.12.1 datasets-3.2.0 deprecated-1.2.15 dill-0.3.8 filelock-3.16.1 fonttools-4.55.3 frozenlist-1.5.0 fsspec-2024.9.0 huggingface-hub-0.26.5 humanfriendly-10.0 idna-3.10 jinja2-3.1.4 joblib-1.4.2 kiwisolver-1.4.7 matplotlib-3.9.3 mpmath-1.3.0 multidict-6.1.0 multiprocess-0.70.16 networkx-3.4.2 neural-compressor-3.1.1 numpy-1.26.4 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nccl-cu12-2.21.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.4.127 onnx-1.17.0 opencv-python-headless-4.10.0.84 optimum-1.23.3 optimum-intel-1.21.0 packaging-24.2 pandas-2.2.3 prettytable-3.12.0 propcache-0.2.1 protobuf-5.29.1 psutil-6.1.0 py-cpuinfo-9.0.0 pyarrow-18.1.0 pycocotools-2.0.8 pydantic-2.10.3 pydantic-core-2.27.1 pyparsing-3.2.0 python-dateutil-2.9.0.post0 pytz-2024.2 pyyaml-6.0.2 regex-2024.11.6 safetensors-0.4.5 schema-0.7.7 scikit-learn-1.6.0 scipy-1.14.1 sentencepiece-0.2.0 setuptools-75.6.0 six-1.17.0 sympy-1.13.1 threadpoolctl-3.5.0 tokenizers-0.20.3 torch-2.5.1 tqdm-4.67.1 transformers-4.45.2 triton-3.1.0 typing-extensions-4.12.2 tzdata-2024.2 wcwidth-0.2.13 wrapt-1.17.0 xxhash-3.5.0 yarl-1.18.3

$ pip install --upgrade --upgrade-strategy eager "optimum[openvino]"

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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.

neural-compressor 3.1.1 requires numpy<2.0, but you have numpy 2.1.3 which is incompatible.

Successfully installed about-time-4.2.1 alive-progress-3.2.0 autograd-1.7.0 cma-3.2.2 grapheme-0.6.0 jsonschema-4.23.0 jsonschema-specifications-2024.10.1 jstyleson-0.0.2 markdown-it-py-3.0.0 mdurl-0.1.2 natsort-8.4.0 networkx-3.3 ninja-1.11.1.2 nncf-2.14.0 numpy-2.1.3 openvino-2024.5.0 openvino-telemetry-2024.5.0 openvino-tokenizers-2024.5.0.0 pydot-2.0.0 pygments-2.18.0 pymoo-0.6.1.3 referencing-0.35.1 rich-13.9.4 rpds-py-0.22.3 tabulate-0.9.0 transformers-4.46.3

$pip install --upgrade --upgrade-strategy eager "optimum[ipex]"

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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.

nncf 2.14.0 requires networkx<=3.3,>=2.6, but you have networkx 3.4.2 which is incompatible.
nncf 2.14.0 requires numpy<2.2.0,>=1.19.1, but you have numpy 2.2.0 which is incompatible.
openvino 2024.5.0 requires numpy<2.2.0,>=1.16.6, but you have numpy 2.2.0 which is incompatible.
neural-compressor 3.1.1 requires numpy<2.0, but you have numpy 2.2.0 which is incompatible.

Successfully installed intel-extension-for-pytorch-2.5.0 networkx-3.4.2 numpy-2.2.0

Expected behavior

Following installation instructions results in a valid installation.