mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-31 02:02:21 +06:00
ae093eef01
* working v1 * oops * Update src/transformers/modeling_utils.py Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com> * fixup * oops * push * more changes * add docs * some fixes * fix copies * add v1 doc * added installation guide * relax constraints * revert * attempt llm-awq * oops * oops * fixup * raise error when incorrect cuda compute capability * nit * add instructions for llm-awq * fixup * fix copies * fixup and docs * change * few changes + add demo * add v1 tests * add autoawq in dockerfile * finalize * Update tests/quantization/autoawq/test_awq.py * fix test * fix * fix issue * Update src/transformers/integrations/awq.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/main_classes/quantization.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/main_classes/quantization.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/integrations/awq.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/integrations/awq.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * add link to example script * Update docs/source/en/main_classes/quantization.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * add more content * add more details * add link to quantization docs * camel case + change backend class name * change to string * fixup * raise errors if libs not installed * change to `bits` and `group_size` * nit * nit * Apply suggestions from code review Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com> * disable training * address some comments and fix nits * fix * final nits and fix tests * adapt to our new runners * make fix-copies * Update src/transformers/utils/quantization_config.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/utils/quantization_config.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/integrations/awq.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/integrations/awq.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * move to top * add conversion test * final nit * add more elaborated test --------- Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
73 lines
3.4 KiB
Docker
73 lines
3.4 KiB
Docker
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
|
|
LABEL maintainer="Hugging Face"
|
|
|
|
ARG DEBIAN_FRONTEND=noninteractive
|
|
|
|
# Use login shell to read variables from `~/.profile` (to pass dynamic created variables between RUN commands)
|
|
SHELL ["sh", "-lc"]
|
|
|
|
# The following `ARG` are mainly used to specify the versions explicitly & directly in this docker file, and not meant
|
|
# to be used as arguments for docker build (so far).
|
|
|
|
ARG PYTORCH='2.1.0'
|
|
# (not always a valid torch version)
|
|
ARG INTEL_TORCH_EXT='1.11.0'
|
|
# Example: `cu102`, `cu113`, etc.
|
|
ARG CUDA='cu118'
|
|
|
|
RUN apt update
|
|
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg git-lfs
|
|
RUN git lfs install
|
|
RUN python3 -m pip install --no-cache-dir --upgrade pip
|
|
|
|
ARG REF=main
|
|
RUN git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF
|
|
|
|
# TODO: Handle these in a python utility script
|
|
RUN [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile
|
|
RUN echo torch=$VERSION
|
|
# `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build.
|
|
# Currently, let's just use their latest releases (when `torch` is installed with a release version)
|
|
# TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI).
|
|
RUN [ "$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/$CUDA
|
|
|
|
RUN python3 -m pip install --no-cache-dir -U tensorflow==2.13 protobuf==3.20.3 tensorflow_text tensorflow_probability
|
|
|
|
RUN python3 -m pip install --no-cache-dir -e ./transformers[dev,onnxruntime]
|
|
|
|
RUN python3 -m pip uninstall -y flax jax
|
|
|
|
RUN python3 -m pip install --no-cache-dir intel_extension_for_pytorch==$INTEL_TORCH_EXT+cpu -f https://developer.intel.com/ipex-whl-stable-cpu
|
|
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/facebookresearch/detectron2.git pytesseract
|
|
RUN python3 -m pip install -U "itsdangerous<2.1.0"
|
|
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
|
|
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/peft@main#egg=peft
|
|
|
|
# Add bitsandbytes for mixed int8 testing
|
|
RUN python3 -m pip install --no-cache-dir bitsandbytes
|
|
|
|
# Add auto-gptq for gtpq quantization testing
|
|
RUN python3 -m pip install --no-cache-dir auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
|
|
|
|
# Add einops for additional model testing
|
|
RUN python3 -m pip install --no-cache-dir einops
|
|
|
|
# Add autoawq for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir autoawq
|
|
|
|
# For bettertransformer + gptq
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum
|
|
|
|
# For video model testing
|
|
RUN python3 -m pip install --no-cache-dir decord av==9.2.0
|
|
|
|
# For `dinat` model
|
|
RUN python3 -m pip install --no-cache-dir natten -f https://shi-labs.com/natten/wheels/$CUDA/
|
|
|
|
# When installing in editable mode, `transformers` is not recognized as a package.
|
|
# this line must be added in order for python to be aware of transformers.
|
|
RUN cd transformers && python3 setup.py develop
|