faed2ca46f
* a draft version * v2 integration * fix * make it more generic and works for IA3 * add set adapter and multiple adapters support * fixup * adapt a bit * oops * oops * oops * adapt more * fix * add more refactor * now works with model class * change it to instance method as it causes issues with `jit`. * add CR * change method name * add `add_adapter` method * clean up * Update src/transformers/adapters/peft_mixin.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * add moe utils * fixup * Update src/transformers/adapters/peft_mixin.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * adapt * oops * fixup * add is_peft_available * remove `requires_backend` * trainer compatibility * fixup + docstring * more details * trigger CI * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/modeling_utils.py * fixup + is_main_process * added `save_peft_format` in save_pretrained * up * fix nits here and there * nits here and there. * docs * revert `encoding="utf-8"` * comment * added slow tests before the PEFT release. * fixup and nits * let's be on the safe zone * added more comments * v1 docs * add remaining docs * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * move to `lib_integrations` * fixup * this time fixup * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * address final comments * refactor to use `token` * add PEFT to DockerFile for slow tests. * added pipeline support. --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
70 lines
3.2 KiB
Docker
70 lines
3.2 KiB
Docker
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
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LABEL maintainer="Hugging Face"
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ARG DEBIAN_FRONTEND=noninteractive
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# Use login shell to read variables from `~/.profile` (to pass dynamic created variables between RUN commands)
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SHELL ["sh", "-lc"]
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# The following `ARG` are mainly used to specify the versions explicitly & directly in this docker file, and not meant
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# to be used as arguments for docker build (so far).
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ARG PYTORCH='2.0.1'
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# (not always a valid torch version)
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ARG INTEL_TORCH_EXT='1.11.0'
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# Example: `cu102`, `cu113`, etc.
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ARG CUDA='cu118'
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RUN apt update
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RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg git-lfs
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RUN git lfs install
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RUN python3 -m pip install --no-cache-dir --upgrade pip
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ARG REF=main
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RUN git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF
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# TODO: Handle these in a python utility script
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RUN [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile
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RUN echo torch=$VERSION
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# `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build.
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# Currently, let's just use their latest releases (when `torch` is installed with a release version)
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# TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI).
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RUN [ "$PYTORCH" != "pre" ] && python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA || python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/$CUDA
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RUN python3 -m pip install --no-cache-dir -U tensorflow==2.13 protobuf==3.20.3 tensorflow_text tensorflow_probability
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RUN python3 -m pip install --no-cache-dir -e ./transformers[dev,onnxruntime]
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RUN python3 -m pip uninstall -y flax jax
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RUN python3 -m pip install --no-cache-dir intel_extension_for_pytorch==$INTEL_TORCH_EXT+cpu -f https://developer.intel.com/ipex-whl-stable-cpu
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RUN python3 -m pip install --no-cache-dir git+https://github.com/facebookresearch/detectron2.git pytesseract
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RUN python3 -m pip install -U "itsdangerous<2.1.0"
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RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
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RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/peft@main#egg=peft
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# Add bitsandbytes for mixed int8 testing
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RUN python3 -m pip install --no-cache-dir bitsandbytes
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# Add auto-gptq for gtpq quantization testing
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RUN python3 -m pip install --no-cache-dir auto-gptq
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# Add einops for additional model testing
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RUN python3 -m pip install --no-cache-dir einops
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# For bettertransformer + gptq
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RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum
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# For video model testing
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RUN python3 -m pip install --no-cache-dir decord av==9.2.0
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# For `dinat` model
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RUN python3 -m pip install --no-cache-dir natten -f https://shi-labs.com/natten/wheels/$CUDA/
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# When installing in editable mode, `transformers` is not recognized as a package.
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# this line must be added in order for python to be aware of transformers.
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RUN cd transformers && python3 setup.py develop
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