mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-28 08:42:23 +06:00
65b8e38aac
* update * small update * no spqr quant * testing * testing * test nightly * gptqmodel * flute * fix hadamard * running tests * new docker * fix docker * run tests * testing new docker * new docker * run tests * new docker * run tests * final test * update * update * run tests * new docker * launch tests * test_docker * running tests * add comments * fixing yml * revert
88 lines
3.6 KiB
Docker
Executable File
88 lines
3.6 KiB
Docker
Executable File
FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
|
|
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='2.6.0'
|
|
# Example: `cu102`, `cu113`, etc.
|
|
ARG CUDA='cu121'
|
|
|
|
RUN apt update
|
|
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg
|
|
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
|
|
|
|
RUN [ ${#PYTORCH} -gt 0 ] && VERSION='torch=='$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)
|
|
RUN python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA
|
|
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
|
|
|
|
# needed in bnb and awq
|
|
RUN python3 -m pip install --no-cache-dir einops
|
|
|
|
# Add bitsandbytes for mixed int8 testing
|
|
RUN python3 -m pip install --no-cache-dir bitsandbytes
|
|
|
|
# Add gptqmodel for gtpq quantization testing, installed from source for pytorch==2.6.0 compatibility
|
|
RUN python3 -m pip install lm_eval
|
|
RUN git clone https://github.com/ModelCloud/GPTQModel.git && cd GPTQModel && pip install -v . --no-build-isolation
|
|
|
|
# Add optimum for gptq quantization testing
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum
|
|
|
|
# Add PEFT
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/peft@main#egg=peft
|
|
|
|
# Add aqlm for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir aqlm[gpu]==1.0.2
|
|
|
|
# Add vptq for quantization testing
|
|
RUN pip install vptq
|
|
|
|
# Add spqr for quantization testing
|
|
# Commented for now as No matching distribution found we need to reach out to the authors
|
|
# RUN python3 -m pip install --no-cache-dir spqr_quant[gpu]
|
|
|
|
# Add hqq for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir hqq
|
|
|
|
# For GGUF tests
|
|
RUN python3 -m pip install --no-cache-dir gguf
|
|
|
|
# Add autoawq for quantization testing
|
|
# New release v0.2.8
|
|
RUN python3 -m pip install --no-cache-dir autoawq[kernels]
|
|
|
|
# Add quanto for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir optimum-quanto
|
|
|
|
# Add eetq for quantization testing
|
|
RUN git clone https://github.com/NetEase-FuXi/EETQ.git && cd EETQ/ && git submodule update --init --recursive && pip install .
|
|
|
|
# # Add flute-kernel and fast_hadamard_transform for quantization testing
|
|
# # Commented for now as they cause issues with the build
|
|
# # TODO: create a new workflow to test them
|
|
# RUN python3 -m pip install --no-cache-dir flute-kernel==0.4.1
|
|
# RUN python3 -m pip install --no-cache-dir git+https://github.com/Dao-AILab/fast-hadamard-transform.git
|
|
|
|
# Add compressed-tensors for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir compressed-tensors
|
|
|
|
# Add transformers in editable mode
|
|
RUN python3 -m pip install --no-cache-dir -e ./transformers[dev-torch]
|
|
|
|
# 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
|