mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-20 04:58:22 +06:00
f0e640adfa
* drop python 3.8 * update docker files --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
67 lines
2.8 KiB
Docker
Executable File
67 lines
2.8 KiB
Docker
Executable File
FROM nvidia/cuda:11.8.0-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='2.4.1'
|
|
# 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
|
|
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 -e ./transformers[dev-torch]
|
|
|
|
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 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 optimum for gptq quantization testing
|
|
RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum
|
|
|
|
# Add aqlm for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir aqlm[gpu]==1.0.2
|
|
|
|
# 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
|
|
# >=v0.2.3 needed for compatibility with torch 2.2.1
|
|
RUN python3 -m pip install --no-cache-dir https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.3/autoawq-0.2.3+cu118-cp310-cp310-linux_x86_64.whl
|
|
|
|
# Add quanto for quantization testing
|
|
RUN python3 -m pip install --no-cache-dir optimum-quanto
|
|
|
|
# Add eetq for quantization testing
|
|
RUN python3 -m pip install git+https://github.com/NetEase-FuXi/EETQ.git
|
|
|
|
# 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
|